DDOS distributed denial-of-service-2020

a denial-of-service attack is a cyber-attack in which the perpetrator seeks to make a machine or network resource unavailable to its intended users by temporarily or indefinitely disrupting services of a host connected to the Internet

The Forensics of DDoS Attacks in the Fifth Generation Mobile Networks Based on Software-Defined Networks
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The number of devices connected to the Internet has been increasing with the emergence of the Internet of things technology. Although it has many advantages, the weak configuration of Internet of things devices and the higher number of such devices provide a good potential

Towards Intelligent Defense against Application-Layer DDoS with Reinforcement Learning
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Application-layer distributed denial-of-service (L7 DDoS ) attacks, by exploiting application- layer requests to overwhelm functions or components of victim servers, has become a major rising threat to todays Internet. However, because the traffic from an L7 DDoS attack

A Review on Detection of DDOS Attack Using Machine Learning and Deep Learning Techniques
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One of the most serious threat to network security is Denial of service (DOS) attacks. When this attack is performed in distributed manner it can create more disaster. Lot of research has been carried for the detection of this attack. In this various techniques has been studied and

DoS and DDoS Attacks at OSI Layers
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Among different online attacks obstructing IT security, Denial of Service (DoS) and Distributed Denial of Service ( DDoS ) are the most devastating attack. It also put the security experts under enormous pressure recently in finding efficient defiance methods. DoS attack

Scheduling DDoS Cloud Scrubbing in ISP Networks via Randomized Online Auctions
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While both Internet Service Providers (ISPs) and third-party Security Service Providers (SSPs) offer Distributed Denial-of-Service ( DDoS ) mitigation services through cloud-based scrubbing centers, it is often beneficial for ISPs to outsource part of the traffic scrubbing to