In this paper, we present the design and implementation of a new approach for anomaly
detection and classification over high speed networks. The proposed approach is based first …

Anomaly-based intrusion detection systems classify network traffic instances by comparing
them with a model of the normal network behavior. To be effective, such systems are …

As the communication industry has connected distant corners of the globe using advances
in network technology, intruders or attackers have also increased attacks on networking …

This paper provides a new framework for efficient detection and identification of network
anomalies over high speed links, in early stage of its occurrence to quickly react by taking …

The anomaly-based network intrusion detection systems (IDS) typically suffer from high false
alarm rate rendering them useless in practice as the subsequent analysis done by the …

As advances in networking technology help to connect the distant corners of the globe and
as the Internet continues to expand its influence as a medium for communications and …

As the number of intrusions is increasing, intrusion detection of systems and network
infrastructures Systems (IDS) is now an active research area to develop reliable and efficient …

Anomaly-based network intrusion detection systems (NIDSs) can take into consideration
packet headers, the payload, or a combination of both. We argue that payload-based …

With the Internet's unprecedented growth and nations' reliance on computer networks, new
cyber‐attacks are created every day as means for achieving financial gain, imposing …

One of the key challenges that researchers should face when proposing a new intrusion
detection approach (IDS) is that of demonstrating its general validity. This fact goes …