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Data Communication Based on MQTT in a Polymer Extrusion Process
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Command Disaggregation Attack and Mitigation in Industrial Internet of Things.

Peng Xun1, Pei-Dong Zhu2, Yi-Fan Hu3

  • 1College of Computer, National University of Defense Technology, Changsha 410073, China. xunpeng12@nudt.edu.cn.

Sensors (Basel, Switzerland)
|October 26, 2017
PubMed
Summary
This summary is machine-generated.

Cyber-physical attacks on the industrial Internet of Things can be detected. A new framework identifies command disaggregation attacks by analyzing command sequence correlations, preventing physical process disruptions.

Keywords:
attack detectioncommand correlationcommand disaggregationcyber-physical attackindustrial Internet of Things

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Area of Science:

  • Cyber-physical systems security
  • Industrial Internet of Things (IIoT) security

Background:

  • Cyber-physical attacks in IIoT pose significant risks to physical systems.
  • Command disaggregation attacks, which manipulate disaggregated commands via controllers, are a specific threat.
  • Existing detection methods are insufficient against sophisticated attack models.

Purpose of the Study:

  • To investigate command disaggregation attacks in IIoT.
  • To analyze the impact of these attacks on physical processes.
  • To develop an effective detection mechanism for command disaggregation attacks.

Main Methods:

  • Depicting two command disaggregation attack modes: disordered sequences and misallocated sub-commands.
  • Describing three novel attack models designed to evade current detection.
  • Proposing a detection framework utilizing correlations between central controller outputs and actuator inputs.

Main Results:

  • Demonstrated the effectiveness of the proposed framework in detecting command disaggregation attacks.
  • Validated the framework's performance through two case studies with varying attack models.
  • Showcased the framework's ability to detect attacks before physical process disruptions occur.

Conclusions:

  • The developed framework effectively detects command disaggregation attacks in IIoT.
  • Analyzing correlations in two-tier command sequences is crucial for robust security.
  • Further enhancements to the detection framework are discussed for improved resilience.