Malware Detection for Cyber Security Enhancement in Smart Grid

Congmiao Li; Dipti Srinivasan; Thomas Reindl

doi:10.29007/fn3p

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Malware Detection for Cyber Security Enhancement in Smart Grid

7 pages•Published: October 23, 2018

Congmiao Li, Dipti Srinivasan and Thomas Reindl

Abstract

Many embedded systems in a Smart Grid have special constraints in terms of timing, cost and power consumption to ensure security. This paper addresses the Smart Grid security problem with a focus on improving the security of crucial components, and reducing the risks from cyber attacks. A hardware architecture to enhance the security of important embedded devices in the smart grid has been proposed and implemented. This hardware based malware detection system runs on a dedicated hardware implemented with FPGA logic, and allows detection in near real-time. The system architecture and results are presented in the paper.

Keyphrases: Cyber Security, malware detection, Smart Grid

In: Vinay K Chandna, Vijay Singh Rathore and Shikha Maheshwari (editors). Proceedings on International Conference on Emerging Trends in Expert Applications & Security (2018), vol 2, pages 30--36

Links:	https://easychair.org/publications/paper/ZxdN
	https://doi.org/10.29007/fn3p

BibTeX entry

@inproceedings{ICETEAS2018:Malware_Detection_for_Cyber,
  author    = {Congmiao Li and Dipti Srinivasan and Thomas Reindl},
  title     = {Malware Detection for Cyber Security Enhancement in Smart Grid},
  booktitle = {Proceedings on International Conference on Emerging Trends in Expert Applications \textbackslash{}\& Security (2018)},
  editor    = {Vinay K Chandna and Vijay Singh Rathore and Shikha Maheshwari},
  series    = {Kalpa Publications in Engineering},
  volume    = {2},
  pages     = {30--36},
  year      = {2018},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2515-1770},
  url       = {https://easychair.org/publications/paper/ZxdN},
  doi       = {10.29007/fn3p}}

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