Ten lectures on wavelets
The 1999 DARPA off-line intrusion detection evaluation
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue on recent advances in intrusion detection systems
A non-instrusive, wavelet-based approach to detecting network performance problems
IMW '01 Proceedings of the 1st ACM SIGCOMM Workshop on Internet Measurement
A signal analysis of network traffic anomalies
Proceedings of the 2nd ACM SIGCOMM Workshop on Internet measurment
Monitoring the Macroscopic Effect of DDoS Flooding Attacks
IEEE Transactions on Dependable and Secure Computing
A methodological overview on anomaly detection
DataTraffic Monitoring and Analysis
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In the last few years, the number and impact of security attacks over the Internet have been continuously increasing. Since it seems 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 different methods, based on the Wavelet Packet Transform, for detecting anomalies in the network traffic, taking into account both the best basis and the value of transformed coefficients.The performance comparison among the different solutions shows that very little information about network anomalies is carried by the best basis selection, while the "distance" between the transformed coefficients leads to very interesting results, highlighting the effectiveness of the proposed approaches.