Temporal pattern-based malicious activity detection in SCADA systems

Meir Kalech; Amit Shlomo; Robert Moskovich

doi:10.1007/978-3-030-20951-3_26

Temporal pattern-based malicious activity detection in SCADA systems

Meir Kalech, Amit Shlomo, Robert Moskovich

Ben-Gurion University of the Negev

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Supervisory Control and Data Acquisition (SCADA) is a system which is used to monitor and control various industrial and infrastructure systems, such as power plants, water disposal and distribution, and other systems which are crucial for our modern way of life.

Original language	English
Title of host publication	Cyber Security Cryptography and Machine Learning - 3rd International Symposium, CSCML 2019, Proceedings
Editors	Shlomi Dolev, Danny Hendler, Sachin Lodha, Moti Yung
Publisher	Springer Verlag
Pages	316-319
Number of pages	4
ISBN (Print)	9783030209506
DOIs	https://doi.org/10.1007/978-3-030-20951-3_26
State	Published - 2019
Externally published	Yes
Event	3rd International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2019 - Beer Sheva, Israel Duration: 27 Jun 2019 → 28 Jun 2019

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11527 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	3rd International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2019
Country/Territory	Israel
City	Beer Sheva
Period	27/06/19 → 28/06/19

Bibliographical note

Publisher Copyright:
© Springer Nature Switzerland AG 2019.

Keywords

Cyber-security
SCADA
Temporal pattern recognition

Access to Document

10.1007/978-3-030-20951-3_26

Cite this

Kalech, M., Shlomo, A., & Moskovich, R. (2019). Temporal pattern-based malicious activity detection in SCADA systems. In S. Dolev, D. Hendler, S. Lodha, & M. Yung (Eds.), Cyber Security Cryptography and Machine Learning - 3rd International Symposium, CSCML 2019, Proceedings (pp. 316-319). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11527 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-20951-3_26

Kalech, Meir ; Shlomo, Amit ; Moskovich, Robert. / Temporal pattern-based malicious activity detection in SCADA systems. Cyber Security Cryptography and Machine Learning - 3rd International Symposium, CSCML 2019, Proceedings. editor / Shlomi Dolev ; Danny Hendler ; Sachin Lodha ; Moti Yung. Springer Verlag, 2019. pp. 316-319 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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keywords = "Cyber-security, SCADA, Temporal pattern recognition",

author = "Meir Kalech and Amit Shlomo and Robert Moskovich",

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Kalech, M, Shlomo, A & Moskovich, R 2019, Temporal pattern-based malicious activity detection in SCADA systems. in S Dolev, D Hendler, S Lodha & M Yung (eds), Cyber Security Cryptography and Machine Learning - 3rd International Symposium, CSCML 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11527 LNCS, Springer Verlag, pp. 316-319, 3rd International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2019, Beer Sheva, Israel, 27/06/19. https://doi.org/10.1007/978-3-030-20951-3_26

Temporal pattern-based malicious activity detection in SCADA systems. / Kalech, Meir; Shlomo, Amit; Moskovich, Robert.
Cyber Security Cryptography and Machine Learning - 3rd International Symposium, CSCML 2019, Proceedings. ed. / Shlomi Dolev; Danny Hendler; Sachin Lodha; Moti Yung. Springer Verlag, 2019. p. 316-319 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11527 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Kalech M, Shlomo A, Moskovich R. Temporal pattern-based malicious activity detection in SCADA systems. In Dolev S, Hendler D, Lodha S, Yung M, editors, Cyber Security Cryptography and Machine Learning - 3rd International Symposium, CSCML 2019, Proceedings. Springer Verlag. 2019. p. 316-319. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-20951-3_26

Temporal pattern-based malicious activity detection in SCADA systems

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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