The big data paradigm has become inevitable in every aspect of the digital forensics process. Increase in personal devices (such as computers, smart phones, tablets, sensors and storage mediums) results in an expanding volume of potential evidence found in them. The increase in data is one of the largest challenges facing law enforcements’ timely prosecutions; with the effect, that human analysts can no longer be the lone actor in the loop. There is a need to create innovative and advanced models and analysis methods to help human analysts within law enforcements. To automatically aid with the discovery, correlation, examination, analysis and understanding of evidence in criminal cases. Advanced big data analytics are important for cybercrime investigation and require novel approaches for automation.
The authors are invited to submit: full-length papers (up to 10 page IEEE 2-column format), short papers (up to 10 page IEEE 2-column format) or abstract papers (up to 3 page IEEE 2-column format) through the online submission system.
Papers should be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines, see formatting instructions here.
User Name : srav
Posted 06-07-2017 on 11:34:29 AEDT