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Author:

Wan, Xuejiao (Wan, Xuejiao.) | He, Jingsha (He, Jingsha.) (Scholars:何泾沙) | Huang, Na (Huang, Na.) | Mai, Yonghao (Mai, Yonghao.)

Indexed by:

EI Scopus

Abstract:

Along with the rapid growth of the number of intelligent mobile devices as well as applications in recent years owing to the development of network information and telecommunication technologies, personal privacy faces a unprecedented level of risk. This seems to be especially inevitable in digital forensic investigations. Consequently, there is an urgent need to balance the desire for privacy preservation and information extraction in the process of digital forensic investigations. This paper focuses on the issues related to personal privacy protection by proposing a digital forensics framework based on the theory of ontology. In addition to introducing the basic concepts that will lead to the establishment of the framework, we will also present some experiments that can be viewed as the demonstration of the effectiveness of the framework in privacy protection in the process of digital forensic investigations. The framework can thus serve as the foundation in the design of digital forensic tools and systems that can respect the privacy of individuals. © 2015 SERSC.

Keyword:

Electronic crime countermeasures Mobile devices Computer crime Data privacy Data mining Ontology

Author Community:

  • [ 1 ] [Wan, Xuejiao]School of Software Engineering, Beijing University of Technology, Beijing, China
  • [ 2 ] [He, Jingsha]School of Software Engineering, Beijing University of Technology, Beijing, China
  • [ 3 ] [Huang, Na]School of Software Engineering, Beijing University of Technology, Beijing, China
  • [ 4 ] [Mai, Yonghao]Department of Information Technology, Hubei University of Police, Wuhan, Hubei, China

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Source :

International Journal of Security and its Applications

ISSN: 1738-9976

Year: 2015

Issue: 4

Volume: 9

Page: 53-62

ESI Discipline: COMPUTER SCIENCE;

ESI HC Threshold:168

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 5

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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