Skip to main content

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

  • 1024 Accesses

Part of the Lecture Notes in Computer Science book series (LNSC,volume 10879)


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.


  • Western Electric Rules
  • Adaptive Version
  • Anomaly Detection
  • Malicious Players
  • Central Limit Theory

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

This work was not supported by any organization.

This is a preview of subscription content, access via your institution.

Buying options

USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions


  1. Western Electric Company: Statistical Quality Control Handbook. Western Electric Co, Indianapolis (1956)

    Google Scholar 

  2. Nelson, L.S.: The Shewhart control chart tests for special causes. J. Qual. Technol. 16, 237–239 (1984)

    CrossRef  Google Scholar 

  3. Romano, M., Kapelan, Z., Savic, D.: Automated detection of pipe bursts and other events in water distribution systems. American Society of Civil Engineers (2012)

    Google Scholar 

  4. Lovell, D.P., Fellows, M., Marchetti, F., Christiansen, J., Elhajouji, A., Hashimoto, K., Kasamoto, S., Li, Y., Masayasu, O., Moore, M.M., Schuler, M., Smith, R., Stankowski, L.F., Tanaka, J., Tanir, J.Y., Thybaud, V., Van Goethem, F., Whitwell, J.: Analysis of negative historical control group data from the in vitro micronucleus assay using TK6 cells. Mutation Res./Genet. Toxicol. Environ. Mutagen. 825, 40–50 (2018)

    CrossRef  Google Scholar 

Download references


I’d like to thank the anonymous referees for their helpful remarks, which helped me to improve this paper.

Author information

Authors and Affiliations


Corresponding author

Correspondence to Oded Margalit .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2018 Springer International Publishing AG, part of Springer Nature

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Margalit, O. (2018). Brief Announcement: Adversarial Evasion of an Adaptive Version of Western Electric Rules. In: Dinur, I., Dolev, S., Lodha, S. (eds) Cyber Security Cryptography and Machine Learning. CSCML 2018. Lecture Notes in Computer Science(), vol 10879. Springer, Cham.

Download citation

  • DOI:

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-94146-2

  • Online ISBN: 978-3-319-94147-9

  • eBook Packages: Computer ScienceComputer Science (R0)