Systematic Literature Review on Data Carving in Digital Forensic

Data carving is a very important topic in digital investigation and computer forensic. Researches are needed to focus on improving data carving techniques to enable digital investigators to retrieve important data and evidences from damaged or corrupted data resources. This paper is the result of a systematic literature review which answer three main questions in data carving filed. The Results fall into four main directions. First it shows the need of realistic data sets for tools testing. Secondly, it points to the need of object validation under fragmented data storage. Thirdly, investigating content based validation and its benefits in digital investigation field. Finally, it points to a new direction for using semantic validation to reduce false positive rates.