Network Traffic Anomaly Detection Based on Signal Processing Techniques

Intrusion detection and network security has become and important problem in today's world. The Internet, the emergence of a variety of wireless networks, the mobility of network hosts along with the vulnerability of present-day software and protocols have a major impact regarding the evolution of network-based attacks. Network intrusions are carried out in various forms: virus, spamming, worms, malware, privilege escalation, unauthorized logins, access to sensitive information, attacks against vulnerable services, injecting unwanted packets into the target networks. As a consequence, this insecure environment has lead to the development of network intrusion detection systems (IDS). Signal processing techniques have attracted a lot of attention recently in the networking security technology, because of their capability of detecting novel intrusions or attacks

General architecture of the IDS

Selected Publications

• Marius Salagean, "Real Network Traffic Anomaly Detection Based on Analytical Discrete Wavelet Transform", OPTIM 2010, Brasov, Romania.
• Marius Salagean, Ioana Firoiu, "Anomaly Detection Of Network Traffic Based On Analytical Discrete Wavelet Transform", COMM 2010, Bucuresti, Romania.