CINECA IRIS Institutional Research Information System
IRIS è la soluzione IT che facilita la raccolta e la gestione dei dati relativi alle attività e ai prodotti della ricerca. Fornisce a ricercatori, amministratori e valutatori gli strumenti per monitorare i risultati della ricerca, aumentarne la visibilità e allocare in modo efficace le risorse disponibili.
EnglishIn 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.
| Titolo: | On the Use of Co-Occurrence Matrices for Network Anomaly Detection |
| Autori interni: | |
| Anno del prodotto: | 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. |
| Handle: | http://hdl.handle.net/11568/200609 |
| ISBN: | 9781605585697 |
| Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
File in questo prodotto:
Copyright © 2020