A4 Artikkeli konferenssijulkaisussa
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-tekijät tai -toimittajat
Julkaisun tiedot
Julkaisun kaikki tekijät tai toimittajat: Vähäkainu, Petri; Lehto, Martti; Kariluoto, Antti
Emojulkaisu: ECCWS 2020 : Proceedings of the 19th European Conference on Cyber Warfare and Security
Emojulkaisun toimittajat: Eze, Thaddeus; Speakman, Lee; Onwubiko, Cyril
Konferenssi:
- European Conference on Cyber Warfare and Security
Konferenssin paikka ja aika: University of Chester, UK (virtual conference), 25-26.6.2020
ISBN: 978-1-912764-61-7
eISBN: 978-1-912764-62-4
Lehti tai sarja: Proceedings of the European conference on information warfare and security
ISSN: 2048-8602
eISSN: 2048-8610
Julkaisuvuosi: 2020
Artikkelin sivunumerot: 371-379
Kustantaja: Academic Conferences International
Julkaisumaa: Britannia
Julkaisun kieli: englanti
DOI: https://doi.org/10.34190/EWS.20.046
Julkaisun avoin saatavuus: Ei avoin
Julkaisukanavan avoin saatavuus:
Tiivistelmä
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.
YSO-asiasanat: älytekniikka; älytalot; kyberturvallisuus; verkkohyökkäykset; tekoäly; koneoppiminen
Vapaat asiasanat: adversarial attacks; artificial intelligence; artificial intelligence-based applications; attack vectors; cloud service; data platform
Liittyvät organisaatiot
OKM-raportointi: Kyllä
Raportointivuosi: 2020
JUFO-taso: 1
