首页    期刊浏览 2024年12月19日 星期四
登录注册

文章基本信息

  • 标题:A Lightweight Rogue Access Point Detection Algorithm for Embedded Internet of Things (IoT) Devices
  • 本地全文:下载
  • 作者:Justice Owusu Agyemang ; Jerry John Kponyo ; Griffith Selorm Klogo
  • 期刊名称:Information Security and Computer Fraud
  • 印刷版ISSN:2376-9602
  • 电子版ISSN:2376-9629
  • 出版年度:2019
  • 卷号:7
  • 期号:1
  • 页码:7-12
  • DOI:10.12691/iscf-7-1-2
  • 语种:English
  • 出版社:Science and Education Publishing
  • 摘要:The Internet of Things (IoT) is a new paradigm that enables the convergence of smart objects and the internet. This convergence has led to the creation of an intelligent network that connects all things to the internet for the purpose of exchanging information. The direct connection of IoT devices to the internet makes them susceptible to several security threats. Researchers have developed techniques aimed at enhancing security of IoT devices at both network and application layers. In this paper, we present a real-time and lightweight algorithm, based on information theoretic approach, that enables rogue access point detection for embedded IoT devices. This is to ensure that WiFi-enabled IoT devices can intelligently distinguish between legitimate and rogue access points. We evaluated the performance of the algorithm with respect to the detection rate and also CPU utilization efficiency.
  • 关键词:IoT; MITM; IDS; DoS; AP
国家哲学社会科学文献中心版权所有