Intrusion detection based upon computational intelligence is currently attracting
considerable interest from the research community. Characteristics of computational …

Network intrusion detection systems have become a standard component in security
infrastructures. Unfortunately, current systems are poor at detecting novel attacks without an …

In Information Security, intrusion detection is the act of detecting actions that attempt to
compromise the confidentiality, integrity or availability of a resource. Intrusion detection does …

In spite of growing information system widely, security has remained one hard-hitting area
for computers as well as networks. In information protection, Intrusion Detection System …

For the last decade it has become commonplace to evaluate machine learning techniques
for network based intrusion detection on the KDD Cup'99 data set. This data set has served …

During the last few eras, evolutionary algorithms have been adopted to tackle cyber-
terrorism. Among them, genetic algorithms and genetic programming were popular choices …

Many infrastructures, such as those of finance and banking, transportation, military and
telecommunications, are highly dependent on the Internet. However, as the Internet's …

In this study, we aimed to identify spatial clusters of countries with high rates of cyber attacks
directed at other countries. The cyber attack dataset was obtained from Canadian Institute …

Every enterprise wants to protect their data from both the internal and external attackers. In
this initiative firewall, encryption, and authentication serve as the first line of defense. And …

One of the major shares of the current security infrastructure is formed by the Intrusion
Detection Systems (IDS). The attack launched towards the security systems are increasing in …