Intrusion Detection in Dos Attacks

Moving dispersion method for statistical anomaly detection in intrusion detection systems

A unified method for statistical anomaly detection in intrusion detection systems is theoretically introduced. It is based on estimating a dispersion measure of numerical or symbolic data on successive moving windows in time and finding the times when a relative change of the dispersion measure is significant. Appropriate dispersion measures, relative differences, moving windows, as well as tec...

Proposed Multi-Layers Intrusion Detection System (MLIDS) Model

In the Digital world security is the primary concerned. Today, most discussions on computer security is centered on the tools or techniques used in protecting and defending networks. In recently every organization or company is using intrusion detection systems (IDSs) for detecting malicious attacks. Generally existing commercial IDSs are based on anomaly detection architecture. In anomaly dete...

A New Intrusion Detection System to deal with Black Hole Attacks in Mobile Ad Hoc Networks

By extending wireless networks and because of their different nature, some attacks appear in these networks which did not exist in wired networks. Security is a serious challenge for actual implementation in wireless networks. Due to lack of the fixed infrastructure and also because of security holes in routing protocols in mobile ad hoc networks, these networks are not protected against attack...

Intrusion Detection in Dos Attacks

Intrusion Detection, Forecast and Traceback Against DDoS Attacks

Nowadays, DDoS is one of the most troublesome attacks. Attackers often penetrate innocent routers and hosts to make them unwittingly participate in such large-scale attacks acting as zombies or reflectors. Also, the Internet consists of autonomous network management units. Organizing these units is helpful in detecting DDoS attacks if several adjacent or nearby network management units could co...