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Updated: Dec 10, 2025

Data Acquisition Protocol for Determining Embedded Sensitivity Functions
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Data Acquisition Protocol for Determining Embedded Sensitivity Functions

Published on: April 20, 2016

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Leveraging Side-channel Information for Disassembly and Security.

Jungmin Park1, Fahim Rahman1, Apostol Vassilev2

  • 1Florida Institute for Cybersecurity Research, University of Florida, USA.

ACM Journal on Emerging Technologies in Computing Systems
|September 1, 2020
PubMed
Summary
This summary is machine-generated.

Hardware-based security monitoring, using side-channel leakage like power variations, offers robust defense for Internet of Things (IoT) devices against cyber attacks. This approach addresses limitations of software-only solutions for embedded systems.

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Last Updated: Dec 10, 2025

Data Acquisition Protocol for Determining Embedded Sensitivity Functions
07:46

Data Acquisition Protocol for Determining Embedded Sensitivity Functions

Published on: April 20, 2016

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Area of Science:

  • Cybersecurity
  • Hardware Security
  • Embedded Systems

Background:

  • The proliferation of Internet of Things (IoT) devices has led to increased cyber attack targeting across various platforms, including smartphones and embedded medical devices.
  • Traditional software-only security solutions face limitations due to resource constraints and update challenges in embedded systems, necessitating alternative defense mechanisms.
  • Hardware-based security monitoring has emerged as a critical area of research for enhancing device security and trust.

Purpose of the Study:

  • To provide a comprehensive taxonomy of hardware-based monitoring techniques for cyber and hardware attack defense.
  • To highlight the potential and challenges associated with hardware-based security monitoring.
  • To demonstrate the efficacy of power-based side-channel instruction-level monitoring for embedded device security.

Main Methods:

  • Review and classification of existing hardware-based monitoring techniques against diverse cyber and hardware threats.
  • Analysis of side-channel leakage information, specifically power supply variations and electromagnetic (EM) radiation, for security monitoring.
  • Focus on power-based side-channel instruction-level monitoring as a viable solution for embedded devices.

Main Results:

  • A structured taxonomy categorizing hardware-based monitoring approaches against various attacks.
  • Identification of unique potentials and inherent challenges in implementing hardware-based security.
  • Demonstration of power-based side-channel monitoring's suitability for addressing embedded device security vulnerabilities.

Conclusions:

  • Hardware-based monitoring, particularly using power side-channel analysis, presents a promising solution for securing resource-constrained embedded devices.
  • Further research is needed to explore and refine these hardware-based security techniques for broader application.
  • The study underscores the importance of moving beyond software-only defenses in the evolving landscape of cyber threats.