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An experimental investigation of malware attacks on SCADA systems

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  • Nai Fovino, Igor
  • Carcano, Andrea
  • Masera, Marcelo
  • Trombetta, Alberto

Abstract

Modern critical infrastructures are continually exposed to new threats due to the vulnerabilities and architectural weaknesses introduced by the extensive use of information and communications technologies (ICT). Of particular significance are the vulnerabilities in the communication protocols used in supervisory control and data acquisition (SCADA) systems that are commonly employed to control industrial processes. This paper presents the results of our research on the impact of traditional ICT malware on SCADA systems. In addition, it discusses the potential damaging effects of computer malware created for SCADA systems.

Suggested Citation

  • Nai Fovino, Igor & Carcano, Andrea & Masera, Marcelo & Trombetta, Alberto, 2009. "An experimental investigation of malware attacks on SCADA systems," International Journal of Critical Infrastructure Protection, Elsevier, vol. 2(4), pages 139-145.
    • Handle: RePEc:eee:ijocip:v:2:y:2009:i:4:p:139-145
    DOI: 10.1016/j.ijcip.2009.10.001
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    References listed on IDEAS

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    1. Huitsing, Peter & Chandia, Rodrigo & Papa, Mauricio & Shenoi, Sujeet, 2008. "Attack taxonomies for the Modbus protocols," International Journal of Critical Infrastructure Protection, Elsevier, vol. 1(C), pages 37-44.
    2. Giovanna Dondossola & Judit Szanto & Marcelo Masera & Igor Nai Fovino, 2008. "Effects of intentional threats to power substation control systems," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 4(1/2), pages 129-143.
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    Cited by:

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    2. Singh, Abhishek Narain & Gupta, M.P. & Ojha, Amitabh, 2014. "Identifying critical infrastructure sectors and their dependencies: An Indian scenario," International Journal of Critical Infrastructure Protection, Elsevier, vol. 7(2), pages 71-85.
    3. Ma, Shuyang & Li, Yan & Du, Liang & Wu, Jianzhong & Zhou, Yue & Zhang, Yichen & Xu, Tao, 2022. "Programmable intrusion detection for distributed energy resources in cyber–physical networked microgrids," Applied Energy, Elsevier, vol. 306(PB).
    4. Asad Hussain & Sunila Fatima Ahmad & Mishal Tanveer & Ansa Sameen Iqbal, 2022. "Computer Malware Classification, Factors, and Detection Techniques: A Systematic Literature Review (SLR)," International Journal of Innovations in Science & Technology, 50sea, vol. 4(3), pages 899-918, August.
    5. Knowles, William & Prince, Daniel & Hutchison, David & Disso, Jules Ferdinand Pagna & Jones, Kevin, 2015. "A survey of cyber security management in industrial control systems," International Journal of Critical Infrastructure Protection, Elsevier, vol. 9(C), pages 52-80.
    6. Nan, Cen & Eusgeld, Irene & Kröger, Wolfgang, 2013. "Analyzing vulnerabilities between SCADA system and SUC due to interdependencies," Reliability Engineering and System Safety, Elsevier, vol. 113(C), pages 76-93.
    7. Mazen Gazzan & Frederick T. Sheldon, 2023. "Opportunities for Early Detection and Prediction of Ransomware Attacks against Industrial Control Systems," Future Internet, MDPI, vol. 15(4), pages 1-18, April.

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