In order to construct an IDS that is both computationally effective and efficient, the goal of this work pinpoint significant decreased input characteristics. For this, we use information gain, gain ratio, correlation-based feature selection examine effectiveness three common techniques. NSL KDD dataset identify assaults on four attack types: Probe (information gathering), DoS (denial service),...

When using the K-nearest neighbours (KNN) method, one often ignores the uncertainty in the choice of K. To account for such uncertainty, Bayesian KNN (BKNN) has been proposed and studied (Holmes and Adams 2002 Cucala et al. 2009). We present some evidence to show that the pseudo-likelihood approach for BKNN, even after being corrected by Cucala et al. (2009), still significantly underest...

An agent-society of the future is envisioned to be as complex as a human society. Just like human societies, such multiagent systems (MAS) deserve an in-depth study of the dynamics, relationships, and interactions of the constituent agents. An agent in a MAS may have only approximate a priori estimates of the trustworthiness of another agent. But it can learn from interactions with other agents...

In Neal (2010), a novel Approximate Bayesian Computation (ABC) algorithm, coupled ABC, was introduced. This paper shows how coupled ABC can be used in an efficient manner for model choice in a Bayesian framework. The methodology is applied to Gibbs random fields and stochastic epidemic models. Furthermore a very efficient simulation procedure for Gibbs random fields with a given sufficient summ...