CloudMe forensics : a case of big-data investigation Teing, Y-Y, Dehghantanha, A and Raymond Choo, K-K http://dx.doi.org/10.1002/cpe.4277 Title CloudMe forensics : a case of big-data investigation Authors Teing, Y-Y, Dehghantanha, A and Raymond Choo, K-K Type Article URL This version is available at: http://usir.salford.ac.uk/id/eprint/43411/ Published Date 2017 USIR is a digital collection of the research output of the University of Salford. Where copyright permits, full text material held in the repository is made freely available online and can be read, downloaded and copied for non-commercial private study or research purposes. Please check the manuscript for any further copyright restrictions. For more information, including our policy and submission procedure, please contact the Repository Team at:
[email protected]. 1 CloudMe Forensics: A Case of Big-Data Investigation Yee-Yang Teing1,2, Ali Dehghantanha2, and Kim-Kwang Raymond Choo3,*,† 1Department of Computer Science, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, UPM Serdang, Selangor, Malaysia, 43400 2The School of Computing, Science & Engineering, Newton Building, University of Salford, Salford, Greater Manchester, United Kingdom, M5 4WT 3Department of Information Systems and Cyber Security, University of Texas at San Antonio, San Antonio, USA, TX 78249-0631 SUMMARY The significant increase in the volume, variety and velocity of data complicates cloud forensic efforts, as such big data will, at some point, become computationally expensive to be fully extracted and analyzed in a timely manner. Thus, it is important for a digital forensic practitioner to have a well-rounded knowledge about the most relevant data artefacts that could be forensically recovered from the cloud product under investigation.