Privacy preservation intrusion detection technique for SCADA systems

Marwa Keshk, Nour Moustafa, Elena Sitnikova, Gideon Creech

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

56 Citations (Scopus)


Supervisory Control and Data Acquisition (SCADA) systems face the absence of a protection technique that can beat different types of intrusions and protect the data from disclosure while handling this data using other applications, specifically Intrusion Detection System (IDS). The SCADA system can manage the critical infrastructure of industrial control environments. Protecting sensitive information is a difficult task to achieve in reality with the connection of physical and digital systems. Hence, privacy preservation techniques have become effective in order to protect sensitive/private information and to detect malicious activities, but they are not accurate in terms of error detection, sensitivity percentage of data disclosure. In this paper, we propose a new Privacy Preservation Intrusion Detection (PPID) technique based on the correlation coefficient and Expectation Maximisation (EM) clustering mechanisms for selecting important portions of data and recognizing intrusive events. This technique is evaluated on the power system datasets for multiclass attacks to measure its reliability for detecting suspicious activities. The experimental results outperform three techniques in the above terms, showing the efficiency and effectiveness of the proposed technique to be utilized for current SCADA systems.

Original languageEnglish
Title of host publication2017 Military Communications and Information Systems Conference, (MilCIS)
Subtitle of host publicationMilCIS 2017 - Proceedings
Place of PublicationMassachusetts, U.S.A.
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781509040032
Publication statusPublished - 2017
Externally publishedYes
Event2017 Military Communications and Information Systems Conference, MilCIS 2017 - Canberra, Australia
Duration: 14 Nov 201716 Nov 2017


Conference2017 Military Communications and Information Systems Conference, MilCIS 2017


  • Correlation Coefficient
  • EM clustering
  • Intrusion Detection system
  • Privacy preservation technique
  • SCADA systems


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