Abstract An Intrusion Detection System (IDS) is one of the fundamental building blocks in
securing a network. A huge number of techniques have been proposed and implemented to …

The competing landscape between malware authors and security analysts is an ever‐
changing battlefield over who can innovate over the other. While security analysts are …

Anomaly classification based on network traffic features is an important task to monitor and
detect network intrusion attacks. Network-based intrusion detection systems (NIDSs) using …

As security threats are increasingly diversified, a critical problem in Wireless Sensor Network
environments (WSNs) is detecting anomalies. WSNs are affected by several limitations, such …

Quick increase in web and system advancements has prompted significant increase in
number of attacks and intrusions. Identification and prevention of these attacks has turned …

Intrusion detection is the process of analyzing the network packets to identify if the packet is
legitimate or anomalous. The major challenges involved in this domain includes the huge …

These days, intrusion detection system (IDS) is the most arising pattern in our general
public. This basically screen network traffic and will alarm the organization chairman of any …

SLSL-QPSO is a software that can find the optimal value of a function. It improves over the
Quantum-behaved Particle Swarm Optimization (QPSO) algorithms by leveraging the …

Intrusion detection systems are mainly prevalent proclivity within our culture today.
Interference exposure systems function as countermeasures to identify web-based …

The rapid evolution of technology and the proliferation of interconnected systems have given
rise to an alarming increase in cyber threats. In this context, Intrusion Detection Systems …