Greening cloud-enabled big data storage forensics: syncany as a case study

• Main Authors: Teing, Yee-Yang, Dehghantanha, Ali, Choo, Kim-Kwang Raymond, Muda, Zaiton, Abdullah, Mohd Taufik
• Format: Article
• Published: Institute of Electrical and Electronics Engineers 2019
• Online Access: http://psasir.upm.edu.my/id/eprint/80012/; https://ieeexplore.ieee.org/document/7886367
• Institution: Universiti Putra Malaysia

The pervasive nature of cloud-enabled big data storage solutions introduces new challenges in the identification, collection, analysis, preservation, and archiving of digital evidences. Investigation of such complex platforms to locate and recover traces of criminal activities is a time-consuming process. Hence, cyber forensics researchers are moving towards streamlining the investigation process by locating and documenting residual artefacts (evidences) of forensic value of users' activities on cloud-enabled big data platforms in order to reduce the investigation time and resources involved in a real-world investigation. In this paper, we seek to determine the data remnants of forensic value from Syncany private cloud storage service, a popular storage engine for big data platforms. We demonstrate the types and the locations of the artifacts that can be forensically recovered. Findings from this research contribute to an in-depth understanding of cloud-enabled big data storage forensics, which can result in reduced time and resources spent in real-world investigations involving Syncany-based cloud platforms.