Application of Adaptive Particle Swarm Optimization in Computer Forensics

Computer Forensics is a field that all of the digital devices leave digital crime and these crime are valuable evidence in a wide range of inquiries. Timestamps stored on digital media play a crucial role in evidence analysis, but digital timestamps easily be modified. So this paper will collect some data about timestamp or other properties from different type of files, such as file system, registry and log file. Through an Adaptive Particle Swarm Optimization 〈 APOS〉 algorithm to analyze the data to obtain approximate optimal solution.