Applied cryptography (2nd ed.): protocols, algorithms, and source code in C
Applied cryptography (2nd ed.): protocols, algorithms, and source code in C
Handbook of Applied Cryptography
Handbook of Applied Cryptography
Artificial intelligence applied to computer forensics
Proceedings of the 2009 ACM symposium on Applied Computing
Information Security Applications
Lessons learned from the construction of a Korean software reference data set for digital forensics
Digital Investigation: The International Journal of Digital Forensics & Incident Response
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The National Software Reference Library (NSRL) provides a repository of known software, file profiles, and file signatures for use by law enforcement and other organizations involved with computer forensic investigations. During a forensic investigation, hundreds of thousands of files may be encountered. The NSRL is used to identify known files. This can reduce the amount of time spent examining a computer. Matches for common operating systems and applications do not need to be searched, either manually or electronically, for evidence. Additionally, the NSRL is used to determine which software applications are present on a system. This may suggest how the computer was being used and provide information on how and where to search for evidence. This paper examines whether the techniques used to create file signatures in the NSRL produce unique results-a core characteristic that the NSRL depends on for the majority of its uses. The uniqueness of the file identification is analyzed via two methods: an empirical analysis of the file signatures within the NSRL and research into the recent attacks on the hash algorithms used to generate the file signatures within the NSRL.