Two-Tier Intrusion Detection Framework for Embedded Systems

Ming Liu; Zhi Xue; Xiangjian He

doi:10.1109/MCE.2020.3048314

Two-Tier Intrusion Detection Framework for Embedded Systems

Ming Liu^*
, Zhi Xue
, Xiangjian He

^*Corresponding author for this work

Research output: Contribution to specialist publication › Article

3 Citations (Scopus)

Abstract

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 language	English
Pages	102-108
Number of pages	7
Volume	10
No.	5
Specialist publication	IEEE Consumer Electronics Magazine
DOIs	https://doi.org/10.1109/MCE.2020.3048314
Publication status	Published - 1 Sept 2021
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 16 Peace, Justice and Strong Institutions

ASJC Scopus subject areas

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

Access to Document

10.1109/MCE.2020.3048314

Cite this

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abstract = "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.",

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AU - Xue, Zhi

AU - He, Xiangjian

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AB - 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.

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SP - 102

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JF - IEEE Consumer Electronics Magazine

ER -

Two-Tier Intrusion Detection Framework for Embedded Systems

Abstract

UN SDGs

ASJC Scopus subject areas

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