Bottleneck analysis and traffic congestion avoidance
Proceedings of the International Conference and Workshop on Emerging Trends in Technology
Traffic classification combining flow correlation and ensemble classifier
International Journal of Wireless and Mobile Computing
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Lawful interception of a suspects’ personal Internet communications can be a very effective evidence collection mechanism for use in criminal investigations. Once a lawful interception warrant has been obtained, software applications known as packet sniffers are used to capture all network packets being sent to and from a suspect’s personal computer. Existing packet sniffer and protocol analyser applications, both open-source and commercial, have limitations in their usefulness in criminal investigations. This research outlines a process and framework, the Highly Extensible Network Packet Analysis (HENPA) framework, which takes the output of a packet sniffer and processes the data to extract potential forensic evidence.