A Method for Deploying Distributed Denial of Service Attack Defense Strategies on Edge Servers Using Reinforcement Learning

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 New Detection Method for Distributed Denial-of-Service Attack Traffic based on Statistical Test

This study has proposed a new detection method for DDoS attack traffic based on two-sample t-test. We first investigate the statistics of normal SYN arrival rate (SAR) and confirm it follows normal distribution. The proposed method identifies the attack by testing 1) the difference between incoming SAR and normal SAR, and 2) the difference between the number of SYN and ACK packets. The experime...

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...

A Probabilistic Defense Mechanism Against Distributed Denial of Service Attacks

Distributed denial of service attacks form a prolific threat to any form of client-server computing, as used, for instance, by e-commerce businesses. The resources of standard servers are quickly consumed under such an attack, making them unavailable to legitimate users. We describe and analyze a defense mechanism for such servers. We prove that this mechanism favors benign users, making the se...