Brief Announcement: Adversarial Evasion of an Adaptive Version of Western Electric Rules

Oded Margalit

doi:10.1007/978-3-319-94147-9_22

Brief Announcement: Adversarial Evasion of an Adaptive Version of Western Electric Rules

Oded Margalit

Department of Computer Science

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

Abstract

Western-Electric are one of the earliest, and widely used, anomaly detection rules. In this paper we describe an adaptive scenario using these rules and show how a malicious player can optimally fabricate data to deceive the algorithm to enlarge the standard deviation of the data while avoiding being detected.

Original language	English
Title of host publication	Cyber Security Cryptography and Machine Learning - Second International Symposium, CSCML 2018, Proceedings
Editors	Itai Dinur, Shlomi Dolev, Sachin Lodha
Place of Publication	Cham
Publisher	Springer Verlag
Pages	278-282
Number of pages	5
ISBN (Print)	9783319941462
DOIs	https://doi.org/10.1007/978-3-319-94147-9_22
State	Published - 17 Jun 2018
Event	2nd International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2018 - Beer-Sheva, Israel Duration: 21 Jun 2018 → 22 Jun 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10879 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	2nd International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2018
Country/Territory	Israel
City	Beer-Sheva
Period	21/06/18 → 22/06/18

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science (all)

Access to Document

10.1007/978-3-319-94147-9_22

Cite this

Margalit, O. (2018). Brief Announcement: Adversarial Evasion of an Adaptive Version of Western Electric Rules. In I. Dinur, S. Dolev, & S. Lodha (Eds.), Cyber Security Cryptography and Machine Learning - Second International Symposium, CSCML 2018, Proceedings (pp. 278-282). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10879 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-94147-9_22

Margalit, Oded. / Brief Announcement : Adversarial Evasion of an Adaptive Version of Western Electric Rules. Cyber Security Cryptography and Machine Learning - Second International Symposium, CSCML 2018, Proceedings. editor / Itai Dinur ; Shlomi Dolev ; Sachin Lodha. Cham : Springer Verlag, 2018. pp. 278-282 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Brief Announcement: Adversarial Evasion of an Adaptive Version of Western Electric Rules",

abstract = "Western-Electric are one of the earliest, and widely used, anomaly detection rules. In this paper we describe an adaptive scenario using these rules and show how a malicious player can optimally fabricate data to deceive the algorithm to enlarge the standard deviation of the data while avoiding being detected.",

author = "Oded Margalit",

note = "Publisher Copyright: {\textcopyright} 2018, Springer International Publishing AG, part of Springer Nature.; 2nd International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2018 ; Conference date: 21-06-2018 Through 22-06-2018",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Margalit, O 2018, Brief Announcement: Adversarial Evasion of an Adaptive Version of Western Electric Rules. in I Dinur, S Dolev & S Lodha (eds), Cyber Security Cryptography and Machine Learning - Second International Symposium, CSCML 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10879 LNCS, Springer Verlag, Cham, pp. 278-282, 2nd International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2018, Beer-Sheva, Israel, 21/06/18. https://doi.org/10.1007/978-3-319-94147-9_22

Brief Announcement: Adversarial Evasion of an Adaptive Version of Western Electric Rules. / Margalit, Oded.
Cyber Security Cryptography and Machine Learning - Second International Symposium, CSCML 2018, Proceedings. ed. / Itai Dinur; Shlomi Dolev; Sachin Lodha. Cham: Springer Verlag, 2018. p. 278-282 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10879 LNCS).

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

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AB - Western-Electric are one of the earliest, and widely used, anomaly detection rules. In this paper we describe an adaptive scenario using these rules and show how a malicious player can optimally fabricate data to deceive the algorithm to enlarge the standard deviation of the data while avoiding being detected.

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Margalit O. Brief Announcement: Adversarial Evasion of an Adaptive Version of Western Electric Rules. In Dinur I, Dolev S, Lodha S, editors, Cyber Security Cryptography and Machine Learning - Second International Symposium, CSCML 2018, Proceedings. Cham: Springer Verlag. 2018. p. 278-282. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-94147-9_22

Brief Announcement: Adversarial Evasion of an Adaptive Version of Western Electric Rules

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