• 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:

Xia, Shida (Xia, Shida.) | Li, Na (Li, Na.) | Xiaofeng, Tao (Xiaofeng, Tao.) | Fang, Chao (Fang, Chao.)

收录:

CPCI-S

摘要:

Information centric network (ICN) based Mobile Edge Computing (MEC) network has drawn growing attentions in recent years. The distributed network architecture brings new security problems, especially the identity security problem. Because of the cloud platform deployed on the edge of the MEC network, multiple channel attributes can be easily obtained and processed. Thus this paper proposes a multiple channel attributes based spoofing detection mechanism. To further reduce the complexity, we also propose an improved clustering algorithm. The simulation results indicate that the proposed spoofing detection method can provide near-optimal performance with extremely low complexity.

关键词:

spoofing detection multiple attributes duster algorithm Mobile Edge Computing

作者机构:

  • [ 1 ] [Xia, Shida]Natl Engn Lab Mobile Network Technol, Beijing 100876, Peoples R China
  • [ 2 ] [Li, Na]Natl Engn Lab Mobile Network Technol, Beijing 100876, Peoples R China
  • [ 3 ] [Xiaofeng, Tao]Natl Engn Lab Mobile Network Technol, Beijing 100876, Peoples R China
  • [ 4 ] [Xia, Shida]Beijing Univ Posts & Telecommun Res Inst, Shenzhen 518000, Peoples R China
  • [ 5 ] [Li, Na]Beijing Univ Posts & Telecommun Res Inst, Shenzhen 518000, Peoples R China
  • [ 6 ] [Xiaofeng, Tao]Beijing Univ Posts & Telecommun Res Inst, Shenzhen 518000, Peoples R China
  • [ 7 ] [Fang, Chao]Beijing Univ Technol, Fac Informat Technol, Beijing 100876, Peoples R China

通讯作者信息:

  • [Xia, Shida]Natl Engn Lab Mobile Network Technol, Beijing 100876, Peoples R China;;[Xia, Shida]Beijing Univ Posts & Telecommun Res Inst, Shenzhen 518000, Peoples R China

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 :

PROCEEDINGS OF 2018 1ST IEEE INTERNATIONAL CONFERENCE ON HOT INFORMATION-CENTRIC NETWORKING (HOTICN 2018)

年份: 2018

页码: 242-243

语种: 英文

被引次数:

WoS核心集被引频次: 3

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: 1

归属院系:

在线人数/总访问数:1592/4281946
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