Attacks over the Internet are becoming more and more complex and sophisticated. How to
detect security threats and measure the security of the Internet arises a significant research …

Adaptive detection is the learning ability to detect any changes in patterns in intrusion
detection systems. In this paper, we propose combining two techniques in feature selection …

The minimal‐degree distributed denial‐of‐service attack takes advantage of flaws in the
adaptive mechanisms of network protocols, which could have a big impact on network …

Security is the main confront of internet, Distributed Denial of Service (DDoS) is the major
cause of threat. DDoS reduces the network resources, and results in bandwidth depletion …

With the development of large open networks, security threats for the network have
increased significantly in the past few years. Different types of attacks possess different types …

Abstract Distributed Denial of Service (DDoS) is a type of attack that leverages many
compromised systems or computers, as well as multiple Internet connections, to flood …

This paper presents a novel approach for an Intrusion Detection System (IDS) based on one
kind of asymmetric optimization which use any three already well-known IDS algorithms and …

Distributed Denial of Service (DDoS) attack brings revenue loss, productivity loss, reputation
damage, theft, etc. to huge banking and business firms. This leads to the necessity of a good …

This study addresses a major cybersecurity challenge by focusing on the detection of
Distributed Denial of Service (DDoS) attacks. These attacks pose a major threat to online …

Nowadays, distributed denial of service (DDoS) becomes a major challenge in the network
as it affects the network at multi‐level. This leads to traffic overhead and wastage of …