Hack Investigation and Probing Using BEOS

Abstract

Cybercrimes are increasing at a very rapid rate and becoming very heinous on account of the use of growing technological adoption in executing them. The nexus between the criminals and their coordinated network attacks are causing huge damage to the system in very short time. Hence, there is a need for early detection and identification of such offending crime increases. The difficulty in choosing the best strategy, attributing ownership to the collected data for evidence, controlling the device, and authenticating the report generated are issues that need to be addressed because the process of identifying crimes relies on circumstantial evidential data extracted by electrical or physical means. In this paper, a method for detecting deception in suspects and preventing harm through early detection is proposed using a tool called Brain Electrical Oscillations Profiling, which was primarily developed as a forensic tool. Through log monitoring and forensic detection, the actions and methods used during an attack will help create a profile of the perpetrator. Using this knowledge, a new course map for identifying infiltration techniques can be built.