Abstract
Current forensic software relies upon accurate identification of file types in order to determine which files contain potential evidence. However, current type recognition mechanisms are susceptible to simple attacks that enable a criminal to confuse the detection algorithm. This study investigated whether artificial neural networks were superior to existing mechanisms at responding to modern evidence tampering techniques and concluded that the tested neural networks were not better than the existing methods. However, the study yielded avenues for future investigation.
