Digital Forensics as a Big Data Challenge

摘要: Digital Forensics, as a science and part of the forensic sciences, is facing new challenges that may well render established models practices obsolete. The dimensions potential digital evidence supports has grown exponentially, be it hard disks in desktop laptops or solid state memories mobile devices like smartphones tablets, even while latency times lag behind. Cloud services are now sources vast range investigations network traffic also follows growing trend cyber security necessity sifting through amount data quickly paramount. On higher level - intelligence analysis can profit from sophisticated such datasets social structures, corpora text to analysed for authorship attribution. All above highlights convergence between so-called forensics, tack fundamental challenge analyse ("big data") actionable time at same preserving principles order results presented court law. paper, after introducing forensics science, explores proceed propose how techniques algorithms used big adapted unique context ranging managing via Map-Reduce machine learning triage disk images dumps. In conclusion paper proposes model integrate this paradigm into standards best tries foresee future trends.