Stuxnet Threat Analysis in SCADA (Supervisory Control And Data Acquisition) and PLC (Programmable Logic Controller) Systems

Zulfikar Sembiring

Abstract


This journal is devoted to the analysis of the Stuxnet malware known as (Win32 / Stuxnet) which has suddenly caught the attention of virus researchers in the last three years. In this journal, an overview of attacks targeted at the SCADA (Supervisory Control And Data Acquisition) system and PLC (Programmable Logic Controller) will be explained as the main targets of Stuxnet. Besides that, it will also explain the history of the development / variant of Stxunet and the prevention that can be done against the Stuxnet threat.


Keywords


malware, Stuxnet, virus, SCADA, PLC

Full Text:

PDF

References


Albright, D., Brannan, P., & Walrond, C. (2011). Stuxnet malware and Natanz: Update of ISIS December 22, 2010 report. Institute for Science and International Security, 15, 739883-3.

Falliere, N., Murchu, L. O., & Chien, E. (2011). W32. stuxnet dossier. White paper, Symantec Corp., Security Response, 5(6), 29.

Gollmann, D. (2010). Computer security. Wiley Interdisciplinary Reviews: Computational Statistics, 2(5), 544-554.

Karnouskos, S. (2011, November). Stuxnet worm impact on industrial cyber-physical system security. In IECON 2011-37th Annual Conference of the IEEE Industrial Electronics Society(pp. 4490-4494). IEEE.

Kushner, D. (2013). The real story of stuxnet. ieee Spectrum, 3(50), 48-53.

Lubis, A. R., Lubis, M., & Listriani, D. (2019, August). Big Data Forecasting Applied Nearest Neighbor Method. In 2019 International Conference on Sustainable Engineering and Creative Computing (ICSECC) (pp. 116-120). IEEE.

Lubis, A. R., Prayudani, S., & Lubis, M. (2019, November). Analysis of the Markov Chain Approach to Detect Blood Sugar Level. In Journal of Physics: Conference Series (Vol. 1361, No. 1, p. 012052). IOP Publishing.

Matrosov, A., Rodionov, E., Harley, D., & Malcho, J. (2010). Stuxnet under the microscope. ESET LLC (September 2010).

Prayudani, S., Hizriadi, A., Lase, Y. Y., & Fatmi, Y. (2019, November). Analysis Accuracy Of Forecasting Measurement Technique On Random K-Nearest Neighbor (RKNN) Using MAPE And MSE. In Journal of Physics: Conference Series(Vol. 1361, No. 1, p. 012089). IOP Publishing.

http://www.xmco.fr/actusecu.html

http://tekno.kompas.com/read/2011/01/17/10224487/awas.stuxnet.juga.ancam.windows.

http://securelist.com




DOI: https://doi.org/10.30596/jcositte.v1i2.5116

Refbacks

  • There are currently no refbacks.