A4 Article in conference proceedings
Influence of attack vectors on generic artificial intelligence : Assisted smart building feedback loop system (2020)


Vähäkainu, P., Lehto, M., & Kariluoto, A. (2020). Influence of attack vectors on generic artificial intelligence : Assisted smart building feedback loop system. In T. Eze, L. Speakman, & C. Onwubiko (Eds.), ECCWS 2020 : Proceedings of the 19th European Conference on Cyber Warfare and Security (pp. 371-379). Academic Conferences International. Proceedings of the European conference on information warfare and security. https://doi.org/10.34190/EWS.20.046


JYU authors or editors


Publication details

All authors or editors: Vähäkainu, Petri; Lehto, Martti; Kariluoto, Antti

Parent publication: ECCWS 2020 : Proceedings of the 19th European Conference on Cyber Warfare and Security

Parent publication editors: Eze, Thaddeus; Speakman, Lee; Onwubiko, Cyril

Conference:

  • European Conference on Cyber Warfare and Security

Place and date of conference: University of Chester, UK (virtual conference), 25-26.6.2020

ISBN: 978-1-912764-61-7

eISBN: 978-1-912764-62-4

Journal or series: Proceedings of the European conference on information warfare and security

ISSN: 2048-8602

eISSN: 2048-8610

Publication year: 2020

Pages range: 371-379

Publisher: Academic Conferences International

Publication country: United Kingdom

Publication language: English

DOI: https://doi.org/10.34190/EWS.20.046

Publication open access: Not open

Publication channel open access:


Abstract

A Cyber-Physical system utilizes real-world measurements collected via IoT sensors. Using data on measurements and outside weather, it is possible to train a machine-learning model that can automatically adjust HVAC and other heating devices of smart buildings. With traditional systems, it is not possible to attain the required energy efficiency values. Instead, artificial intelligence could minimize these values. However, in case the perpetrator can influence the AI governing the feedback system, the cost may increase significantly. For example, the cost of power spikes has a long payback, which can be multiple years. In this article, we define the concepts of cybersecurity and machine learning, do a literary review on machine learning models, recognition of the relevant attack vectors to a feedback system of a smart building and countering of those attacks, and discuss the generic feedback system implementation.


Keywords: intelligent systems; smart houses; cyber security; cyber attacks; artificial intelligence; machine learning

Free keywords: adversarial attacks; artificial intelligence; artificial intelligence-based applications; attack vectors; cloud service; data platform


Contributing organizations


Ministry reporting: Yes

Reporting Year: 2020

JUFO rating: 1


Last updated on 2021-07-07 at 21:33