An Anomaly detection sensor, to detect an abnormal use of system resources or an abnormal behavior of authorized users, uses various measures and decides on the basis of threshold value. However, it has high false alarm rate, and it make it hard to merchandise. Also, it is not easy to have a threshold which is suitable for installation environment. In this paper, we propose a method to automatic generation of proper threshold of each sensor, and the threshold is applied for an integrated decision. Also, we propose a computing method for a correlation of heterogeneous detection sensors. As we use the correlation to integrate and decide the opinions of each sensor, false positive can be greatly reduced.

This paper presents a novel algorithm which generates a beam pattern having maximum gain towards target direction. The new technique utilizes a Generalized Conjugate Gradient Method (CGM) based on the conventional CGM for obtaining the optimal weight vector. The proposed method finds a weight vector that maximizes the SINR (Signal to Interference plus Noise Ratio). Based on the an analysis of the results of various computer simulations, it is observed that the proposed algorithm is suitable for the IS2000 1X mobile communication environments.

The objective is to generate a suboptimal weight vector for an adaptive array system operating in a multipath fading CDMA (Code Division Multiple Access) channel. The total computational load of the proposed procedure is about including the update of autocovariance matrix as well as the weight update itself, where N is the number of antenna elements. The performance of the proposed array system is shown in terms of BER (Bit Error Rate), allowable capacity, and convergence rate in practical CDMA signal environments such as IS95 and IS2000 1X.