An intrusion detection system (IDS) is an important protection instrument for detecting
complex network attacks. Various machine learning (ML) or deep learning (DL) algorithms …

Intrusion detection systems built on artificial intelligence (AI) are presented as latent
mechanisms for actively detecting fresh attacks over a complex network. The authors used a …

The KDD Cup 99 dataset has been the point of attraction for many researchers in the field of
intrusion detection from the last decade. Many researchers have contributed their efforts to …

The Wide-reaching usage of the standard called as IEEE 802.111 has been acting as a
solution to support aggressive network coverage with high bandwidth raised various security …

With the increase in network connectivity in today's web-enabled environments, there is an
escalation in cyber-related crimes. This increase in illicit activity prompts organizations to …

Cyber-attacks are becoming more complex & increasing tasks in accurate intrusion
detection (ID). Failure to avoid intrusion can reduce the reliability of security services, for …

Abstract Dealing the Distributed Denial of Service (DDoS) attack is a continuing challenge in
the field of network security. An Intrusion Detection System (IDS) is one of the solutions to …

Featured Application Increased parallelism in edge network security issues, Feature loss
handling. Abstract Feature loss in IoT scenarios is a common problem. This situation poses …

In current time, cyber wars are added in military operation areas. Some measures reduce
amount of attacks but these measures can't block cyber attacks completely so it is important …

A rising variety of platforms and software programs have leveraged repository-stored
datasets and remote access in recent years. As a result, datasets are more vulnerable to …