Tag Archives: ddos-defense

How enterprises can fend off DDoS attacks

Though distributed denial of service attacks have been around more than two decades, recently we have seen a spate of DDoS attacks that have increased in complexity and variability. Both the size and frequency of DDoS attacks have gone up, and criminals use these sophisticated attacks to target sensitive data, not just to disrupt businesses. Some recent attacks have exceeded 1 Tbps while the average DDoS attack peaked at 14.1 Gbps in the first quarter of 2017, according to Verisign’s DDoS trends report. The largest volumetric and highest intensity DDoS attack observed by Verisign in Q1 2017 was a multi-vector attack that peaked over 120 Gbps and around 90 Million packets per second (Mpps). This attack sent a flood of traffic to the targeted network inexcess of 60 Gbps for more than 15 hours. In a new report, Imperva warns about a new type of ferocious DDoS attack that uses ‘pulse waves’ to hit multiple targets. “Comprising a series of short-lived bursts occurring in clockwork-like succession, pulse wave assaults accounted for some of the most ferocious DDoS attacks we mitigated in the second quarter of 2017. In the most extreme cases, they lasted for days at a time and scaled as high as 350 gigabits per second (Gbps). We believe these represent a new attack tactic, designed to double the botnet’s output and exploit soft spots in traditional mitigation solutions,“ says Robert Hamilton, director, Imperva. “DDoS attacks are rarely complex. They are the result of a volumetric based attack which results in a platform, application or service being rendered unavailable for the user. The biggest changes we have seen through evolution over the last few years are mostly within the amount of bandwidth attackers have at their disposal. This is due to the amount of more interconnected devices we now have on the Internet. We have three main types of DDoS attack, one is a volumetric, which accounts for most DDoS attacks, secondly we have application and lastly protocol level attacks,” says Warren Mercer, security researcher at Cisco Talos. Ransom is another growing trend in DDoS. “Ransom related attacks seem to be a trending issue as of late. Too many organisations are paying out these ransom requests, in an effort to remove themselves from the cross hairs of a DDoS attack – this behaviour likely causes an increase in ransom attack activity. Besides the financial loss that a company may experience by paying the ransom, companies must consider that they will still be subject to a DDoS attack even after the ransom has been paid,” says Stephanie Weagle, VP, Corero. What do you do if you are a CISO dealing with massive DDoS attack? What are your tips for CISOs dealing with massive DDoS attacks? “First thing would be to make sure the network is well prepared for such attacks. Making sure that there are protections and processes in place is critical. It’s also important to remember that the DDoS attack might not be the actual attack but just a distraction,” says Kalle Bjorn, director-systems engineering, Fortinet. Mohammed Al Moneer, regional director,  A10 Networks, says the challenge for defenders is to distinguish good and bad behaviour largely by analysing the instrumented data available from server logs and traffic behaviour reported from networking tools.  In effect, threat hunting is the act of finding a needle in a haystack of logs and flow data.  Unlike the stealth required for dropping malware or stealing data, DDoS is loud and does not hide in the shadows. Alaa Hadi, regional director, Arbor Networks, says these very large attacks must be mitigated in the cloud, as close to the source as possible. I would also caution CISOs that to have cloud protection is only a partial defence against modern DDoS attacks. They also target applications and infrastructure, like firewalls, with low and slow attacks that cannot be detected in the cloud. The place to protect against these attacks is on-premise, with a tight connection to the cloud, as a means of providing mitigation support for large attacks. Only with this multi-layer, hybrid approach is a business fully protected from DDoS attacks. Another alarming trend in DDoS has been the rise of DDoS attacks using IoT devices, as we have seen in the case of Mirai botnet, which infected tens of millions of connected devices. “IoT can have positive implications across several core industries such as manufacturing, retail, transportation, and healthcare. However, it’s important to bear in mind that a higher number of connected devices translates to more points of entry for attackers to penetrate. Criminals can leverage these end points to steal confidential information from businesses, distribute malware, or takeover the capacity and network bandwidth of connected ‘things’ to carry out massive strikes. The necessary tools and best practices to mitigate such threats are well-known and available in the application security field,” says Hadi Jaafarawi, managing director, Qualys Middle East. Bjorn from Fortinet adds compromised IoT devices are a massive potential traffic generator source for attackers. Securing the organisations own systems would prevent them from being used in attacks against others. Manufacturers should also work actively to ensure their own devices are fixed when vulnerabilities are found, unfortunately there are multiple IoT devices on the market that cannot be even upgraded, this means that the security will lie on the network where the devices connect to. Source: http://www.tahawultech.com/securityadvisorme/features/enterprises-fend-off-ddos/

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How enterprises can fend off DDoS attacks

$50m deal to keep government websites going in a cyber attack

Six firms have won a multimillion- dollar bulk tender as Singapore further tightens its defence against sophisticated attacks that aim to disable government websites. The Straits Times understands that the three-year bulk contract which started yesterday is worth about $50 million – around twice the value of the last three-year contract which has lapsed. The deal comes on the heels of StarHub’s broadband outage last year linked to a cyber attack in the United States, and the theft of the personal details of 850 national servicemen and staff at the Ministry of Defence (Mindef), discovered in February. The six contractors awarded the contract by GovTech are local telcos Singtel and StarHub, Britain- based telco BT, and Singapore- based tech firms CHJ Technologies, Evvo Labs and Embrio Enterprises. The six firms are expected to keep government websites fully available to the public even when attacks are taking place. This is done by providing distributed denial of service (DDoS) mitigation services, which will now take into account the threats that took down United States Internet firm Dyn’s services in October last year. Dyn’s service outage, which took down websites such as The New York Times and Spotify, in turn disrupted Web surfing for StarHub’s broadband customers. DDoS attacks work by having thousands of infected computers accessing and overwhelming a targeted site, causing a huge spike in traffic. DDoS mitigation is a set of techniques that differentiates genuine incoming traffic from that sent by hijacked, infected browsers, so that services to genuine users will not be denied. According to tender documents seen by ST, the contractors are also expected to provide new capabilities to combat attacks stemming from software flaws on Internet-facing machines. In early February, Mindef discovered that a vulnerability in its I-net system had been exploited, resulting in the loss of NRIC numbers, telephone numbers and birth dates of 850 personnel. The I-net system provides Mindef staff and national servicemen with Internet access on thousands of dedicated terminals. Cloud security services firm Akamai Technologies’ regional director of product management Amol Mathur said that the new DDoS mitigation capabilities are necessary in an evolving threat landscape where large-scale attacks are being powered by compromised Internet devices such as Web cameras and routers. Dr Chong Yoke Sin, chief of StarHub’s enterprise business group, said it will provide the Singapore Government with its telco- centric security operations as well as the cloud-based mitigation services of its technology partner Nexusguard. Mr Jason Kong, co-founder of Toffs Technologies, the supplier of content delivery back-up services for Embrio Enterprises, said: “Organisations should have a content delivery back-up plan to ensure business is as usual should the main delivery platform suffer an outage.” Last week, the Nanyang Tech- nological University solicited a separate DDoS contract with more stringent requirements to com- bat attacks stemming from software flaws on Internet-facing machines. The university discovered in April this year that it was the victim of an apparent state-sponsored attack aimed at stealing government and research data. The National University of Singapore was similarly attacked at around the same time. Last year, an unnamed government agency also became the victim of a state-sponsored attack, the Cyber Security Agency of Sin- gapore said in a report released last Thursday. Source: http://www.straitstimes.com/tech/50m-deal-to-keep-govt-websites-going-in-a-cyber-attack

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$50m deal to keep government websites going in a cyber attack

How Artificial Intelligence Will Make Cyber Criminals More ‘Efficient’

The era of artificial intelligence is upon us, though there’s plenty of debate over how AI should be defined much less whether we should start worrying about an apocalyptic robot uprising. The latter issue recently ignited a highly publicized dispute between Elon Musk and Mark Zuckerberg, who argued that it was irresponsible to “try to drum up these doomsday scenarios”. In the near-term however, it seems more than likely that AI will be weaponized by hackers in criminal organizations and governments to enhance now-familiar forms of cyberattacks like identity theft and DDoS attacks. A recent survey has found that a majority of cybersecurity professionals believe that artificial intelligence will be used to power cyberattacks in the coming year. Cybersecurity firm Cylance conducted the survey at this year’s Black Hat USA conference and found that 62 percent of respondents believe that “there is high possibility that AI could be used by hackers for offensive purposes.” Artificial intelligence can be used to automate elements of cyber attacks, making it even easier for human hackers (who need food and sleep) to conduct a higher rate of attacks with greater efficacy, writes Jeremy Straub, an assistant professor of computer science at North Dakota State University who has studied AI-decision making. For example, Straub notes that AI could be used to gather and organize databases of personal information needed to launch spearphishing attacks, reducing the workload for cybercriminals. Eventually, AI may result in more adaptive and resilient attacks that respond to the efforts of security professionals and seek out new vulnerabilities without human input. Rudimentary forms of AI, like automation, have already been used to perpetrate cyber attacks at a massive scale, like last October’s DDoS attack that shut down large swathes of the internet. “Hackers have been using artificial intelligence as a weapon for quite some time,” said Brian Wallace, Cylance Lead Security Data Scientist, to Gizmodo . “It makes total sense because hackers have a problem of scale, trying to attack as many people as they can, hitting as many targets as possible, and all the while trying to reduce risks to themselves. Artificial intelligence, and machine learning in particular, are perfect tools to be using on their end.” The flip side of these predictions is that, even as AI is used by malicious actors and nation-states to generate a greater number of attacks, AI will likely prove to be the best hope for countering the next generation of cyber attacks. The implication is that security professionals need to keep up in their arms race with hackers, staying apprised of the latest and most advanced attacker tactics and creating smarter solutions in response. For the time being, however, cyber security professionals have observed hackers sticking to tried-and-true methods. “I don’t think AI has quite yet become a standard part of the toolbox of the bad guys,” Staffan Truvé, CEO of the Swedish Institute of Computer Science said to Gizmodo . “I think the reason we haven’t seen more ‘AI’ in attacks already is that the traditional methods still work—if you get what you need from a good old fashioned brute force approach then why take the time and money to switch to something new?” Source: https://www.idropnews.com/news/fast-tech/artificial-intelligence-will-make-cyber-criminals-efficient/49575/

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How Artificial Intelligence Will Make Cyber Criminals More ‘Efficient’

Destructive cyberattacks are only going to get worse

Overlooked among the stark headlines of the sheer scale of personal information hackers stole from credit monitor Equifax, was a Symantec reportdemonstrating that Dragonfly, a cyber-espionage group, continues to escalate its access to energy facilities’ operational systems in the United States, Turkey, and Switzerland. More than simple exploration and espionage, the report shows a clear step towards pursuing sabotage and destruction, a trend that’s become more common alongside rising geopolitical tensions. This latest cause for alarm should not be viewed as an anomaly but as the current state-of-cyber in 2017 and beyond. Over the last decade, destructive attacks have been targeting an increasing number and variety of organizations and critical infrastructure, but there has been a noticeable spike over the last year. In December, Crash Override, destructive malware largely attributed to Russia, struck the Ukraine power grid with a highly customized attack that could control the grid circuit switches and breakers. A few weeks earlier, Shamoon 2.0 surfaced, targeting Saudi government entities, infecting thousands of machines and spreading to Gulf states. Soon after, Stonedrill, another destructive malware, surfaced, targeting Saudi entities and at least one European organization. These attacks are also evolving and bringing additional effects into play. For example, KillDisk, malware with a wiper component, has recently been updated with a ransomware component. On the other hand, NotPetya masqueraded as ransomware, but was likely a targeted wiper malware attack focused on destabilizing business and state organizations in Ukraine. Dragonfly itself reflects an escalation in objectives from general intelligence gathering towards the system control that necessary for more damaging sabotage. This sort of escalation to destructive attacks usually occurs between interstate rivals with a higher propensity for conflict. In 2009, the North Korea-linked Dark Seoul gang was among the first to deploy wiper malware within a larger campaign, targeting the United States and South Korea with a combination of DDoS attacks and wiper malware. Similarly, following the Iran nuclear agreement, Iran and Saudi Arabia’s relative cyber ceasefire from 2012-15 gave way to a major escalation of tit-for-tat attacks on websites prior to Shamoon 2.0 and Stonedrill. More recently, the back-and-forth between Russia and Ukraine represents the most prominent use of these destructive attacks and the best example of a major power attacking smaller country. In many of these instances, private sector organizations are caught in the crossfires. NotPetya may cost shipping giant Maersk $300 million even though, by most accounts, it was not the intended target. Unfortunately, many of these attack vectors and destructive malware are now in the wild and are likely to be deployed by other groups. Dragonfly is just the latest reminder that attackers are increasingly brazen, and critical infrastructure remains a prime target.  Unlike the series of publicized destructive attacks that have been slowly on the rise for the last decade, we see no proof of actual sabotage with Dragonfly, but pre-positioning is probably underway.  We should not panic that the grid is about to go down, but we must pay attention to the trend.  Furthermore, although the energy sector is a prime target for destructive attacks, enterprises in other industries including media (I’m looking at you, HBO), finance and beyond must also be ready to protect themselves. As long as geopolitical tensions remain high, and with the growing open source proliferation of nation-state malware, this trend is unlikely to abate any time soon. Source: http://www.businessinsider.com/equifax-breach-proves-that-cyber-attacks-are-only-going-to-get-worse-2017-9

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Destructive cyberattacks are only going to get worse

DOSarrest Rolls Out all New DDoS Protection Software

VANCOUVER, British Columbia, Sept. 11, 2017 (GLOBE NEWSWIRE) — DOSarrest Internet Security announced today that they have released their new DDoS protection software, along with a number of other advances and upgrades. This is DOSarrest’s 5th major release since starting in the fully managed cloud based DDoS protection service in 2007. This latest release is a complete rewrite of DOSarrest’s front end and backend systems utilizing the latest software development tools and technologies. Some of the new enhancements include. All new customer facing portal with 15 real-time, interactive traffic statistics displays. Complete new back end with new security features that can be deployed live in seconds All new big data analytics engine for faster real-time and historical statistics displays Machine learning module for traffic anomaly and bot detection All new larger routers and increased upstream capacity in all global locations Mark Teolis, CEO at DOSarrest, explains, “We are in our 11th year of providing a fully managed cloud based DDoS protection service, and if there’s one thing we have learned it’s that you’d better be ahead of the bad actors. This new release was developed with extreme flexibility in mind; we can basically analyze and create a feature that will stop any sophisticated attacks not yet even seen in the wild.” Teolis adds, “The biggest misconception in the DDoS protection world is that you only need capacity to fend off DDoS attacks, but in reality your chance of being hit by a small 10Mb/sec attack that will take your site down is millions of times greater.” About DOSarrest Internet Security: DOSarrest founded in 2007 in Vancouver, B.C., Canada is one of only a couple of companies worldwide to specialize in only cloud based DDoS protection services.  Additional Web security services offered are Cloud based  W eb  A pplication  F irewall (WAF) ,  V ulnerability  T esting and  O ptimization (VTO) ,  DataCenter Defender-GRE  as well as  cloud based global load balancing . Source: https://www.dosarrest.com/news-and-events/dosarrest-rolls-out-all-new-ddos-protection-software/

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DOSarrest Rolls Out all New DDoS Protection Software

Sharing is caring, but keep your botnets to yourself

Sharing economy apps are prime targets for malicious attacks. The boom of mobile applications has superseded traditional services, revolutionising customer experience as we know it. In Australia, peer-to-peer services are being embraced by millions of consumers. A 2017 report by RateSetter revealed, 65% of Australians used sharing economy services like Uber and Airbnb in the past 6 months, with that set to increase to 75% in the next six months. With users willing to share personal details and financial information for the benefit of convenience or speed, these apps themselves are now a prime target for malicious attacks. These attacks paralyse services potentially for ransom, or worse, to unleash or amplify Distributed Denial of Service (DDoS) attacks to exploit users’ data. The very nature of DDoS attacks are changing to reflect the app boom. Old fashioned ‘network-layer’ DDoS attacks (the big bandwidth volumetric ones we read about) are being overtaken by smarter ‘application-layer’ attacks which interject the good application requests with the bad, harder to identify ones. As sharing economy apps become prime targets for malicious attacks, so do the services they connect to – and digital transformation means that many of those services are now in the cloud, or were born there natively. Big brands that have a huge amount of consumer data like Airbnb or Uber are moving quickly to the cloud. Airbnb migrated almost all of its cloud computing functions to Amazon Web Services (AWS) only after a year of starting and Uber has been in talks with the likes of Google, Microsoft and Amazon. The underlying danger of DDoS According to Neustar’s 2017 ‘Worldwide DDoS Attacks and Cyber Insights Research Report’, 84% of organisations surveyed globally were hit by a DDoS attack in the last 12 months, and 86% of these organisations were hit multiple times. Within the broader spectrum of risks for corporate security and IT decision makers, DDoS attacks present a growing challenge for several reasons. Firstly, the number of vulnerable devices has dramatically increased and so too has the level to which DDoS attacks have become automated and commoditised. Where a connection to the Internet previously required something that was more traditionally like a computer, IoT and cloud convergence have enabled even light bulbs to be connected to a network – providing an increased number of sources generating traffic. Secondly, according to Telstra’s 2017 cybersecurity report, 59% of Australian businesses experienced a DDoS attack on at least a yearly basis, with only 36% reporting a recovery time of within 30 minutes – and that’s a potential 30 minutes of app downtime in an economy where the patience of web and mobile users is measured in seconds. Security must be embedded in company culture Large scale DDoS attacks, like the Mirai botnet, gained significant media coverage after successfully impacting sites and services like Amazon, PayPal, Reddit and Twitter. If DDoS can disrupt giants like Amazon, then sharing economy apps like GoGet and Airtasker can become prime targets too, resulting in loss of revenue or customer loyalty. Organisations should strengthen their stance against all types of attacks and invest in smarter cyber security solutions. An important first step should be to cultivate a culture of cyber security awareness to create on-going conversations across all business units and functions. Anyone who has low awareness of cyber security and does not embrace good digital hygiene can be a weak link. Most importantly, security assessments must be an integral part of the application development framework, not an afterthought. Having securely coded applications will not only protect critical data at source, but will also enhance customer experiences and their confidence in an organisation. Ultimately, these simple yet effective measures integrated into every aspect of the organisation will ensure that customer trust is retained and the organisation’s bottom line is protected. Whilst the sharing economy is a prime target for attacks, with well-designed security infrastructure and best practices in place, we can be confident that it will continue to thrive and users’ personal data will remain secure. Source: https://www.computerworld.com.au/article/627122/sharing-caring-keep-your-botnets-yourself/?

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Sharing is caring, but keep your botnets to yourself

Application layer DDoS attacks rising

Application layer distributed denial of service (DDoS) attacks are on the rise, and organizations must protect themselves from this uptick in application layer attacks and from the overall scourge of multi-vector DDoS attacks. The size, scope and sophistication of distributed denial of service (DDoS) attacks continue to grow at an alarming rate – some recent DDoS attacks have exceeded 1 Tbps, making them the largest on record – but it’s not just the large-scale attacks that can threaten your applications and your business. Despite the perceived spike in DDoS attack size, the average DDoS attack peaked at 14.1 Gbps in 2017’s first quarter, according to Verisign’s DDoS Trends Report (Note: Verisign is an A10 Networks Security Alliance Partner). While that average attack size seems minuscule in comparison to the colossal, record-breaking attacks of late last year, DDoS attacks that target the application layer tend to be smaller and can go unnoticed until it’s too late. These types of attacks are often referred to as “slow-rate” or “low and slow” attacks, meaning they target applications in a way that they look like actual requests from users until they become overburdened and can no longer respond. Application layer attacks, or layer 7 attacks as they’re often called, are typically part of a multi-vector DDoS attack target not only applications, but also the network and bandwidth. The Verisign report estimates that 57 percent of DDoS attacks in Q1 2017 were multi-vector as opposed to single vector attacks. The most common types of application layer DDoS attacks include those targeting DNS services, HTTP and HTTPS. And like other types of DDoS attacks, they have one goal: to take out an application, a website or an online service. According to Imperva’s Q1 2017 Global DDoS Threat Landscape Report, application layer attacks are on the rise. The report found that application layer DDoS attacks reached an all-time high of 1,099 attacks per week in the second quarter of 2017, a rise of 23 percent over the previous quarter’s 892. One reason for the uptick in application layer attacks is the Mirai malware. According to Threat Post, a new variant of Mirai is being used to launch application layer attacks. While Mirai originally carried out Layer 2 and 3 DDoS attacks, some of the more recent Mirai-fueled DDoS attacks, including a 54-hour assault against a U.S. college, are aimed squarely at Layer 7. “Looking at the bigger picture, this variant of Mirai might be a symptom of the increased application layer DDoS attack activity we saw in the second half of 2016,” Imperva’s Dima Bekerman wrote. “That said, with over 90 percent of all application layer assaults lasting under six hours, an attack of this duration stands in a league of its own.” Application layer DDoS attacks becoming shorter in duration – the 54-hour onslaught against the college being an exception to that rule – but are growing in frequency, complexity and persistence. That means attackers target a web server, or an application server, and flood it with just enough traffic to knock it offline. In the case of a web server, it’s sending hundreds to thousands of HTTP requests per second that the server just can’t handle – and BOOM! – the site or service is gone. Because of this, application layer attacks are less expensive for threat actors to carry out and are perceived as harder for security solutions to detect than attacks aimed at the network layer. So how do you protect your applications from this uptick in application layer attacks and from the overall scourge of multi-vector DDoS attacks? Businesses require a high-performance, surgical multi-vector DDoS protection. It’s imperative that a DDoS solution not only detects, but also mitigates attacks large and small – from megabit to terabit in size – including application, volumetric, protocol, resource and IoT-based attacks. A DDoS defense solution should also be able to be deployed in proactive and reactive mode, depending on a business’s preference, to ensure appropriate protection. The right DDoS defense solution not only protects your application layer from attacks, but also your network layer and other vectors, ultimately helping your organization avoid falling victim to a damaging DDoS attack. Source: https://www.csoonline.com/article/3222824/network-security/application-layer-ddos-attacks-rising.html

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Application layer DDoS attacks rising

Machine Learning in the DOSarrest Operations

Machine Learning can appear in many different forms and guises, but a general definition of Machine Learning usually incorporates something about computers learning without explicit programming and being able to automatically adapt. And while Machine Learning has been around for decades as a concept, it’s become more of a reality as computational power continues to increase, and the proliferation of Big Data platforms making it easier to capture floods of data. These developments have made ML practical and garnered a lot of interest, as evidenced by the large number of articles in the last two years surrounding AI and machine Learning However despite all this, the adoption of this Machine Learning is still relatively low amongst companies in the tech landscape (Gartner estimating that fewer than 15 percent of enterprises successfully get machine learning into production). And even when you hear about Company X adopting a machine learning strategy, it’s often conflated with another strategy or service within that company, and not truly realizing the automated ‘adaptiveness’ inherent within ML. Those companies that do realize a proper machine learning strategy, understanding and grooming their data as well as identifying the appropriate model/s can see real benefits to their operations, which is why DOSarrest has been developing such a strategy over the last year. Here at DOSarrest, we’ve been focusing on building an Anomaly Detection engine, focusing on the constantly evolving sophisticated application layer attacks. We collect huge amounts of data from disparate sources (e.g. Customized web logs, snmp and flow data, IDS logs, etc.), even when customers are not under attack. This provides an opportunity to identify baselines even in a multi tenant environment. As you would expect, there is a high degree of cardinality within some of the data fields, which can be challenging to work with when working with data in motion, but can have great benefits. With these huge structured data sets, we are able to identify KPI’s (Key Performance Indicators) and statistics that can be leveraged by the engine to identify anomalous behavior and brought to the attention of the Security Ops team, who are then able to investigate and act on the identified pattern. The engine continues to refine the probability of a metric, becoming more accurate over time in determining the severity of an anomaly. The strategy holds great promise, and further developments and refinements to this model will continue to evolve the best Security Operations Center in the business. A more detailed view of an anomaly – this shows a single IP requesting more than 60 times more frequently than a normal visitor. This screen gives an overview of any anomalies, organized by relevant factors. In this case the remote IP address of the requestor. Jag Bains CTO, DOSarrest Internet Security Source: https://www.dosarrest.com/ddos-blog/machine-learning-in-the-dosarrest-operations

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Machine Learning in the DOSarrest Operations

What is Machine Learning?

Machine Learning can appear in many different forms and guises, but a general definition of Machine Learning usually incorporates something about computers learning without explicit programming and being able to automatically adapt. And while Machine Learning has been around for decades as a concept, it’s become more of a reality as computational power continues to increase, and the proliferation of Big Data platforms making it easier to capture floods of data. These developments have made ML practical and garnered a lot of interest, as evidenced by the large number of articles in the last two years surrounding AI and machine Learning However despite all this, the adoption of this Machine Learning is still relatively low amongst companies in the tech landscape (Gartner estimating that fewer than 15 percent of enterprises successfully get machine learning into production). And even when you hear about Company X adopting a machine learning strategy, it’s often conflated with another strategy or service within that company, and not truly realizing the automated ‘adaptiveness’ inherent within ML. Those companies that do realize a proper machine learning strategy, understanding and grooming their data as well as identifying the appropriate model/s can see real benefits to their operations, which is why DOSarrest has been developing such a strategy over the last year. Here at DOSarrest, we’ve been focusing on building an Anomaly Detection engine, focusing on the constantly evolving sophisticated application layer attacks. We collect huge amounts of data from disparate sources (e.g. Customized web logs, snmp and flow data, IDS logs, etc.), even when customers are not under attack. This provides an opportunity to identify baselines even in a multi tenant environment. As you would expect, there is a high degree of cardinality within some of the data fields, which can be challenging to work with when working with data in motion, but can have great benefits. With these huge structured data sets, we are able to identify KPI’s (Key Performance Indicators) and statistics that can be leveraged by the engine to identify anomalous behavior and brought to the attention of the Security Ops team, who are then able to investigate and act on the identified pattern. The engine continues to refine the probability of a metric, becoming more accurate over time in determining the severity of an anomaly. The strategy holds great promise, and further developments and refinements to this model will continue to evolve the best Security Operations Center in the business. A more detailed view of an anomaly – this shows a single IP requesting more than 60 times more frequently than a normal visitor. This screen gives an overview of any anomalies, organized by relevant factors. In this case the remote IP address of the requestor. Jag Bains CTO, DOSarrest Internet Security Source: https://www.dosarrest.com/ddos-blog/machine-learning-in-the-dosarrest-operations

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What is Machine Learning?

Bigger Online Super Series Cancelled due to DDoS Attacks

The Winning Poker Network has cancelled the third leg of its OSS Cub3d series – the Bigger Online Super Series – due to the threat of further DDoS attacks. The Winning Poker Network´s Bigger Online Super Series (BOSS) was scheduled to be a superb finale to a hugely successful three-tiered OSS Cub3d tournament series. The series had started incredibly well, with events in the Mini Online Super Series beating their guarantees by an average of 67% and the “meat in the sandwich” – the Online Super Series – performing much better than had been expected . However, towards the end of last week, a series of DDoS attacks disrupted the series. Connection issues resulted in the cancellation of tournaments – not only the feature events in the Online Super Series, but also many qualifying satellites for the Million Dollar Sunday. Fortunately, the Million Dollar Sunday event was able to go ahead but, due to fears of further disruption, the Winning Poker Network has decided to cancel the remaining events in the OSS Cub3d schedule. New OSS Cub3d Series Scheduled for Later this Month Announcing the cancellation of the Bigger Online Super Series via the Americas Cardroom Twitch stream, the Winning Poker Network´s CEO – Phil Nagy – explained that the measures needed to be put in place to mitigate the threat of further DDoS would not be completed by Wednesday (the start date for the Bigger Online Super Series). He said rather than risk further frustration and disappointment , he was cancelling the series and rescheduling it for later in the month. Rather than just run the seventeen events cancelled from this week, the Winning Poker Network´s CEO announced a whole new OSS Cub3d series that will run from September 24th to October 22nd and feature two Million Dollar Sunday events – one with a half-price buy-in of just $265.00. Nagy said he would also honour the current finishing positions in the OSS Cub3d leaderboard promotion and give Punta Cana Poker Classic packages to the players occupying the top three positions. New Software and Updated Servers will Help Mitigate DDoS Threat Nagy is confident the rescheduled OSS Cub3d series will be able to go ahead without players suffering the disconnection issues that disrupted last weekend´s events. Within two weeks, new software will be released on updated servers that should be able to withstand DDoS attacks . The long-awaited WPN V2 poker client should also provide players with a more enjoyable online poker experience as many of the bugs that exist with the current version of the software have reportedly been fixed. Nagy also announced the Americas Cardroom mobile app is due to be released next week. First put into development in January, and expected to take between nine and twelve weeks, the app will support games of Jackpot Poker and Sit & Go 2.0 . It is not known whether the app will be available for all skins on the Winning Poker Network so, players wanting to play these games on the go may have to create an account with Americas Cardroom in order to access them. Bad Pelican Takes Million Dollar Sunday for $269,800 The fact that the Million Dollar Sunday event was able to go ahead last weekend was good news for “Bad Pelican”. The infrequent visitor to the Winning Poker Network topped a field of 2,698 to collect the $269,800 first prize after fourteen hours of play . The massive field ensured the million dollar guarantee was met and, in total, 405 players cashed in the event. The volume of players on the Winning Poker Network also ensured guarantee-busting prize pools for most of the weekend´s tournaments. Hopefully the next OSS Cub3d series should go without a hitch. As sites on the Winning Poker Network continue to add new features and player benefits, there will be huge expectations for the next OSS Cub3d series , and it will be a huge disappointment – not least for CEO Phil Nagy – if any of the tournaments have to be cancelled due to DDoS attacks or other connection issues. Source: http://www.pokernewsreport.com/bigger-online-super-series-cancelled-due-to-ddos-attacks-21870

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Bigger Online Super Series Cancelled due to DDoS Attacks