Distributed denial of service attack defense system-based auto machine learning algorithm

Distributed Denial of Service Defense Attack Tradeoff Analysis (DDOS-DATA)

Denial of Service Attack and Defense

In this chapter, we firstly review the short history of denial of service (DoS) and distributed denial of service (DDoS) attacks. We further explore the reasons why the current cyberspace is a heaven for cyber criminals, such as DDoS attackers. We present the challenges of the DDoS related research fields from various aspects, and discuss the possible research methods and strategies to serve th...

A Fuzzy Logic based Defense Mechanism against Distributed Denial of Service Attack in Cloud Computing Environment

Cloud defines a new age of computing solution that provides services to customers with its unique features of agility and multi-tenancy. As the critical resources are hosted at cloud provider’s end, security is a big challenge in cloud computing. If the cloud environment is compromised and attackers get the access of core data centers, the availability of the critical resources becomes a big co...

Denial-of-Service Attack Detection Using Genetic-Based Algorithm

With the rapid growth of Internet in recent years, network intrusion has been a difficult problem to solve. Security of computers from harmful attacks has become a crucial issue. Recognition of attacks is becoming a harder problem to crack in the field of Computer Network Security. Denial of Service (DoS) attack is an attack which affects large number of computers in the world daily. Detection ...

A Gateway-based Defense System for Distributed Denial-of-Service Attacks in High-Speed Networks

We describe a defense system to contain Distributed Denial-of-Service (DDoS) flooding attacks in highspeed networks. We aim at protecting TCP friendly traffic, which forms a large portion of Internet traffic. DDoS flooding attacks tend to establish large numbers of malicious traffic flows to congest network. These flows are marked as TCP flows, and use spoofed source identifiers to hide their i...