A Comprehensive Review on Adaptability of Network Forensics Frameworks for Mobile Cloud Computing

Suleman Khan, Muhammad Shiraz, Ainuddin Wahid Abdul Wahab, Abdullah Gani, Qi Han, Zulkanain Bin Abdul Rahman

Research output: Contribution to journalReview articlepeer-review

24 Citations (Scopus)
3 Downloads (Pure)

Abstract

Network forensics enables investigation and identification of network attacks through the retrieved digital content. The proliferation of smartphones and the cost-effective universal data access through cloud has made Mobile Cloud Computing (MCC) a congenital target for network attacks. However, confines in carrying out forensics in MCC is interrelated with the autonomous cloud hosting companies and their policies for restricted access to the digital content in the back-end cloud platforms. It implies that existing Network Forensic Frameworks (NFFs) have limited impact in the MCC paradigm. To this end, we qualitatively analyze the adaptability of existing NFFs when applied to the MCC. Explicitly, the fundamental mechanisms of NFFs are highlighted and then analyzed using the most relevant parameters. A classification is proposed to help understand the anatomy of existing NFFs. Subsequently, a comparison is given that explores the functional similarities and deviations among NFFs. The paper concludes by discussing research challenges for progressive network forensics in MCC.
Original languageEnglish
Article number547062
Number of pages28
JournalThe Scientific World Journal
Volume2014
Early online date6 Jul 2014
DOIs
Publication statusPublished - Jul 2014
Externally publishedYes

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