Primordial Fingerprinting Techniques from the Perspective of Digital Forensic Requirements

The techniques of device fingerprinting are used by many researchers for the purpose of user tracking or software licensing and user authentication. As most of the current fingerprinting approaches are using the software related parameters of the device which can be easily modified by the user. These existing solutions are not suitable for device fingerprinting from the perspective of network forensic investigation. The main objective of forensic investigation is to collect the evidences of the cybercrime in forensically sound manner to prove the role of criminal in the crime. To prove the crime in the court of law the reliable and relevant evidence against the criminal is very important. The most crucial evidence is the true identity of the device used for doing the cybercrime. To uniquely identify the real source of the crime device fingerprinting is the paramount solution. The up-to-date analysis is required to construct the new techniques for fingerprinting the physical devices, which will satisfy all the legal requirements and can be used as evidence in the court of law to prove the crime. The major objective of this paper is thus to provide a detailed analytical review of features and techniques of feature extraction that is used in existing device fingerprinting techniques.