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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-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 languageEnglish
Title of host publicationCyber Security Cryptography and Machine Learning - Second International Symposium, CSCML 2018, Proceedings
EditorsItai Dinur, Shlomi Dolev, Sachin Lodha
Place of PublicationCham
PublisherSpringer Verlag
Pages278-282
Number of pages5
ISBN (Electronic)978-3-319-94147-9
ISBN (Print)9783319941462
DOIs
StatePublished - 17 Jun 2018
Event2nd International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2018 - Beer-Sheva, Israel
Duration: 21 Jun 201822 Jun 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10879 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2018
Country/TerritoryIsrael
CityBeer-Sheva
Period21/06/1822/06/18

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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