Spektral analysis of honeypot network traffic

Traffic anomalies such as failures and attacks are commonplace in today's computer networks. Identifying, diagnosing and treating anomalies in a timely fashion are a fundamental part of day to day network operations. In this paper we propose the design of using spectral analysis to study network traffic attack captured by honeypot. As sample attack we used yahoo messenger bots. We use the amount of packet traffic arrival in certain time frame and represent it into time series and spectral form.