Greening cloud-enabled big data storage forensics: syncany as a case study
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 pr...
| Main Authors: | , , , , |
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| Format: | Article |
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Institute of Electrical and Electronics Engineers
2019
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| Online Access: | http://psasir.upm.edu.my/id/eprint/80012/ |
| _version_ | 1848858808797888512 |
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| author | Teing, Yee-Yang Dehghantanha, Ali Choo, Kim-Kwang Raymond Muda, Zaiton Abdullah, Mohd Taufik |
| author_facet | Teing, Yee-Yang Dehghantanha, Ali Choo, Kim-Kwang Raymond Muda, Zaiton Abdullah, Mohd Taufik |
| author_sort | Teing, Yee-Yang |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T12:19:20Z |
| format | Article |
| id | upm-80012 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T12:19:20Z |
| publishDate | 2019 |
| publisher | Institute of Electrical and Electronics Engineers |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-800122023-05-31T04:01:08Z http://psasir.upm.edu.my/id/eprint/80012/ Greening cloud-enabled big data storage forensics: syncany as a case study Teing, Yee-Yang Dehghantanha, Ali Choo, Kim-Kwang Raymond Muda, Zaiton Abdullah, Mohd Taufik 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. Institute of Electrical and Electronics Engineers 2019 Article PeerReviewed Teing, Yee-Yang and Dehghantanha, Ali and Choo, Kim-Kwang Raymond and Muda, Zaiton and Abdullah, Mohd Taufik (2019) Greening cloud-enabled big data storage forensics: syncany as a case study. IEEE Transactions on Sustainable Computing, 4 (2). pp. 204-216. ISSN 2377-3782 https://ieeexplore.ieee.org/document/7886367 10.1109/TSUSC.2017.2687103 |
| spellingShingle | Teing, Yee-Yang Dehghantanha, Ali Choo, Kim-Kwang Raymond Muda, Zaiton Abdullah, Mohd Taufik Greening cloud-enabled big data storage forensics: syncany as a case study |
| title | Greening cloud-enabled big data storage forensics: syncany as a case study |
| title_full | Greening cloud-enabled big data storage forensics: syncany as a case study |
| title_fullStr | Greening cloud-enabled big data storage forensics: syncany as a case study |
| title_full_unstemmed | Greening cloud-enabled big data storage forensics: syncany as a case study |
| title_short | Greening cloud-enabled big data storage forensics: syncany as a case study |
| title_sort | greening cloud-enabled big data storage forensics: syncany as a case study |
| url | http://psasir.upm.edu.my/id/eprint/80012/ http://psasir.upm.edu.my/id/eprint/80012/ http://psasir.upm.edu.my/id/eprint/80012/ |