Abstract Network Anomaly Detection Systems (NADSs) are gaining a more important role in
most network defense systems for detecting and preventing potential threats. The paper …

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

With the advent of the Internet of Things (IoT), the security of the network layer in the IoT is
getting more and more attention. The traditional intrusion detection technologies cannot be …

Many researches have argued that Artificial Neural Networks (ANNs) can improve the
performance of intrusion detection systems (IDS) when compared with traditional methods …

The growing prevalence of network attacks is a well-known problem which can impact the
availability, confidentiality, and integrity of critical information for both individuals and …

Аннотация В работе рассматриваются различные методы обнаружения сетевых атак.
Основное внимание уделяется построению обобщенной классификационной схемы …

This survey focuses on intrusion detection systems (IDS) that leverage host-based data
sources for detecting attacks on enterprise network. The host-based IDS (HIDS) literature is …

Current network intrusion detection systems lack adaptability to the frequently changing
network environments. Furthermore, intrusion detection in the new distributed architectures …

A novel multilevel hierarchical Kohonen Net (K-Map) for an intrusion detection system is
presented. Each level of the hierarchical map is modeled as a simple winner-take-all K-Map …

With the impending era of internet, the network security has become the key foundation for
lot of financial and business web applications. Intrusion detection is one of the looms to …