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Implantable electronics: emerging design issues and an ultra light-weight security solution.

Seetharam Narasimhan1, Xinmu Wang, Swarup Bhunia

  • 1Department of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, Ohio, USA. sxn124@case.edu

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|November 25, 2010
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Summary
This summary is machine-generated.

This study introduces a novel, lightweight security solution for implantable digital signal processing (DSP) systems. The proposed scrambling algorithm offers high security for biological signals with significantly reduced power and area overhead compared to traditional encryption.

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Area of Science:

  • Biomedical Engineering
  • Electrical Engineering
  • Computer Science

Background:

  • Implantable systems require complex digital signal processing (DSP) for real-time biological signal analysis.
  • Nanoscale technology offers benefits for DSP circuits but introduces challenges like reliability and high leakage power.
  • Programmability and data security are critical design considerations for modern implantable systems.

Purpose of the Study:

  • To analyze emerging design issues in implantable DSP units.
  • To propose a novel, ultra-lightweight solution for information security in implantable systems.
  • To address the limitations of conventional encryption methods in resource-constrained environments.

Main Methods:

  • Analysis of design challenges in implantable DSP.
  • Development of a novel multilevel key-based scrambling algorithm tailored for biological signals.
  • Hardware implementation and performance analysis of the proposed algorithm for neural signal processing.

Main Results:

  • The proposed scrambling algorithm effectively obfuscates biological signals.
  • Achieved high security levels with approximately 13X lower power consumption.
  • Demonstrated approximately 5X lower area overhead compared to conventional cryptographic solutions.

Conclusions:

  • The developed lightweight security approach is suitable for resource-constrained implantable systems.
  • Exploiting biological signal characteristics enables efficient data obfuscation.
  • The proposed method offers a viable alternative to traditional encryption for enhanced data security in implantable devices.