In the last few years the number and impact of security attacks over the Internet have been continuously increasing. Since it is impossible to guarantee complete protection to a system by means of the "classical" prevention mechanisms, the use of Intrusion Detection Systems (IDSs) has emerged as a key element in network security. In this paper we address the problem considering some techniques for detecting network anomalies, based on the use of co-occurrence matrices, to model the "normal" behavior of the TCP connections. The performance analysis, shows a comparison among the different solutions, which demonstrates the effectiveness of the proposed methods.
On the Use of Co-Occurrence Matrices for Network Anomaly Detection
CALLEGARI, CHRISTIAN;GIORDANO, STEFANO;PAGANO, MICHELE
2009
Abstract
In the last few years the number and impact of security attacks over the Internet have been continuously increasing. Since it is impossible to guarantee complete protection to a system by means of the "classical" prevention mechanisms, the use of Intrusion Detection Systems (IDSs) has emerged as a key element in network security. In this paper we address the problem considering some techniques for detecting network anomalies, based on the use of co-occurrence matrices, to model the "normal" behavior of the TCP connections. The performance analysis, shows a comparison among the different solutions, which demonstrates the effectiveness of the proposed methods.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
