• 综合
  • 标题
  • 关键词
  • 摘要
  • 学者
  • 期刊-刊名
  • 期刊-ISSN
  • 会议名称
搜索

作者:

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

收录:

EI Scopus

摘要:

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.

关键词:

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

作者机构:

  • [ 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

通讯作者信息:

电子邮件地址:

查看成果更多字段

相关关键词:

相关文章:

来源 :

International Journal of Security and its Applications

ISSN: 1738-9976

年份: 2015

期: 4

卷: 9

页码: 53-62

ESI学科: COMPUTER SCIENCE;

ESI高被引阀值:115

被引次数:

WoS核心集被引频次:

SCOPUS被引频次:

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

近30日浏览量: 3

在线人数/总访问数:1014/2993354
地址:北京工业大学图书馆(北京市朝阳区平乐园100号 邮编:100124) 联系我们:010-67392185
版权所有:北京工业大学图书馆 站点建设与维护:北京爱琴海乐之技术有限公司