Detecting Distributed Denial-of-Service DDoS Attacks
نویسندگان
چکیده
منابع مشابه
Detecting Distributed Denial of Service (DDoS) Attacks through Inductive Learning
As the complexity of Internet is scaled up, it is likely for the Internet resources to be exposed to Distributed Denial of Service (DDoS) flooding attacks on TCP-based Web servers. There has been a lot of related work which focuses on analyzing the pattern of the DDoS attacks to protect users from them. However, none of these studies takes all the flags within TCP header into account, nor do th...
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Pushback is a mechanism for defending against Distributed Denial-of-Service (DDoS) attacks. DDoS attacks are treated as a congestion-control problem, but because most such congestion is caused by malicious hosts not obeying traditional end-to-end congestion control, the problem must be handled by the routers. Functionality is added to each router to detect and preferentially drop packets that p...
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Prevention of Distributed Denial of Service (DDoS) attacks before they achieve their intrusive objectives is a critical problem in network security. This is because the attacks rapidly build up and flood the networks with disruptive packets that consume network bandwidth within a short range of timestamp. Consequently, network activities are suddenly shutdown and legitimate users that are prese...
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ژورنال
عنوان ژورنال: Current Trends in Computer Sciences & Applications
سال: 2019
ISSN: 2643-6744
DOI: 10.32474/ctcsa.2019.01.000110