DDoS Attack Detection using Predictive Models
نویسندگان
چکیده
منابع مشابه
F-STONE: A Fast Real-Time DDOS Attack Detection Method Using an Improved Historical Memory Management
Distributed Denial of Service (DDoS) is a common attack in recent years that can deplete the bandwidth of victim nodes by flooding packets. Based on the type and quantity of traffic used for the attack and the exploited vulnerability of the target, DDoS attacks are grouped into three categories as Volumetric attacks, Protocol attacks and Application attacks. The volumetric attack, which the pro...
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DDoS attacks have major impact on the affected networks viz. packet transmission delays, network outage, website sabotage, financial losses, legitimate-user blockage and reputation damage. Existing DDoS detection techniques are either implemented at the victim node (but the damage is already done) or at many intermediate routers which run DDoS detection algorithms, that adds additional delay an...
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A Distributed Denial of Service (DDOS) attack is a type of Internet attack that disrupts the normal function of the targeted computer network (server). This kind of attacks attempts to make target host resource unavailable to its legal users. Several efforts had made in detection and computation of the DDOS attacks over network, where IDS (Intrusion detection systems) are unable to isolate the ...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2019
ISSN: 0975-8887
DOI: 10.5120/ijca2019918900