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    Improving Payload Attribution Systems for Network Forensic Applications

    , Ph.D. Dissertation Sharif University of Technology Hosseini, Mohammad (Author) ; Jahangir, Amir Hossein (Supervisor)
    Abstract
    Payload Attribution Systems (PAS) are one of the most important tools of network forensics for detecting offenders and victims after the occurrence of a cybercrime. A PAS stores the network traffic history in order to detect the source and destination pair of a certain data stream in case a malicious activity occurs on the network. The huge volume of information that is daily transferred in the network means that the data stored by a PAS must be as compact and concise as possible. Moreover, the investigation of this large volume of data for a malicious data stream must be handled within a reasonable time. For this purpose, several techniques based on storing a digest of traffic using Bloom...