2016/10/02 by Mark Scanlon, Scanlon, Mark
Computer Science · #Advanced Malware Detection Techniques #Cloud Data Security Solutions #Computers and Society (cs.CY) #Cryptography and Security (cs.CR) #Digital and Cyber Forensics #FOS: Computer and information sciences #Information Retrieval (cs.IR) #cs.CR #cs.CY #cs.IR
paper · pdf · doi:10.48550/arxiv.1610.00248
Scanlon, M., Battling the Digital Forensic Backlog through Data Deduplication, 6th IEEE International Conference on Innovative Computing Technology (INTECH 2016), Dublin, Ireland, August 2016
arxiv created 2016/10/02 · openalex publication_date 2016/10/02 · arxiv updated 2016/10/04 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In everyday life. Technological advancement can be found in many facets of life, including personal computers, mobile devices, wearables, cloud services, video gaming, web-powered messaging, social media, Internet-connected devices, etc. This technological influence has resulted in these technologies being employed by criminals to conduct a range of crimes -- both online and offline. Both the number of cases requiring digital forensic analysis and the sheer volume of information to be processed in each case has increased rapidly in recent years. As a result, the requirement for digital forensic investigation has ballooned, and law enforcement agencies throughout the world are scrambling to address this demand. While more and more members of law enforcement are being trained to perform the required investigations, the supply is not keeping up with the demand. Current digital forensic techniques are arduously time-consuming and require a significant amount of man power to execute. This paper discusses a novel solution to combat the digital forensic backlog. This solution leverages a deduplication-based paradigm to eliminate the reacquisition, redundant storage, and reanalysis of previously processed data.