CAT Record (computer activity timeline record): A unified agent based approach for real time computer forensic evidence collection
Source of Publication
Int. Workshop Syst. Approaches Digit. Forensics Eng., SADFE
© 2013 IEEE. In this paper we present CAT Record - a real time computer forensics agent that records computer activity for subsequent forensic investigation on a Windows computer system as actions are taking place on a system. This approach is different from the traditional post-mortem approach of examining a hard disk since activities are being recorded as they are happening. The prototype agent included six modules 1) Windows Event Watcher - which records the Windows Operating System events 2) Active Window Detector - which records the active windows on the screen 3) Font-Time-Power-Resolution Detector - which records changes in font, time, power or resolution on the system 4) Explorers Monitor - which records the activity when opening an item from the Windows Explorer or Internet Explorer 5) Removable Devices Detector - which records any external devices that are plugged in or removed from a system and 6) File System Watcher - which records the activity taking place on the file system. CAT Record was stress tested in three scenarios using an automated program that was written to test the accuracy of the agent and its memory consumption on Windows XP and Windows 7. Overall, the results indicated that the amount of recorded data varied between Windows XP and Windows 7 and that CAT Record on average did not consume more than 42,876 KB of memory per second during its operation under extremely stressful tests.
Institute of Electrical and Electronics Engineers Inc.
Social and Behavioral Sciences
Cloud Forensics, Computer events, Computer forensics, Corpora, Corporate investigations, LEP, Network forensics, Real time, Testing, Timeline detection, Tools, Verbosity
Al Awawdeh, Shadi; Baggili, Ibrahim; Marrington, Andrew; and Iqbal, Farkhund, "CAT Record (computer activity timeline record): A unified agent based approach for real time computer forensic evidence collection" (2014). All Works. 843.
Indexed in Scopus