Detecting multi-layer packet drop attacks may result in extraordinary computational
overhead in Mobile Ad Hoc Networks (MANET). Most of the existing works consider only …

Intrusion detection is one of the most interesting tasks for network administrators. There is a
necessity in protecting the networks from known liabilities by developing more consistent …

Network intrusion detection is a dynamic research area as intruders or attackers have
increased attacks on all kinds of networking set-ups. In the field of data mining, outlier …

Detection accuracy of current machine-learning approaches to intrusion detection depends
heavily on feature engineering and dimensionality-reduction techniques (eg, variational …

Mobile ad-hoc Network is a self organized wireless network which has a dynamic topology
where nodes can be join or leave the network at anytime with large number of nodes. Due to …

Communication is the heart of the day to day activity in the current world. Since the world
has practiced with electronic devices for carrying out all the daily activities, electronic and …

As the Internet applications are growing rapidly, the intrusion detection system is widely
used to detect network intrusion effectively. Aiming at the high‐dimensional characteristics of …

The goal of this project is to create a wireless adhoc network intrusion detection system that
uses a support vector machine classifier to detect a man-in-the-middle attack, and to …

In this paper we have designed Agent based intrusion detection system (ABIDS) where
agents will travel between connected client systems from server in a client-server network …

ABSTRACT Misuse based Intrusion Detection System (IDS) employs various signature
matching techniques against stored databases to find intrusions in a network. Anomaly …