Two-Tier Intrusion Detection Framework for Embedded Systems

Ming Liu, Zhi Xue, Xiangjian He

Research output: Contribution to specialist publicationArticle

2 Citations (Scopus)


The embedded system is an essential component of the Internet of Everything. Recently, host-based intrusion detection techniques have been widely applied to embedded systems effectively. However, the traditional standalone intrusion detection system has several shortcomings in terms of efficiency and scalability. In this article, a two-tier scalable intrusion detection framework is designed for embedded systems to address these shortcomings. The framework is based on Spark and is deployed in the cloud environment. The experiments show that the proposed framework can effectively improve the detection efficiency and scalability.

Original languageEnglish
Number of pages7
Specialist publicationIEEE Consumer Electronics Magazine
Publication statusPublished - 1 Sept 2021
Externally publishedYes

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Hardware and Architecture
  • Computer Science Applications
  • Electrical and Electronic Engineering


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