A3 Book section, Chapters in research books
Artificial Intelligence in Protecting Smart Building’s Cloud Service Infrastructure from Cyberattacks (2020)

Vähäkainu, Petri; Lehto, Martti; Kariluoto, Antti; Ojalainen, Anniina (2020). Artificial Intelligence in Protecting Smart Building’s Cloud Service Infrastructure from Cyberattacks. In Jahankhani, Hamid; Kendzierskyj, Stefan; Chelvachandran, Nishan; Ibarra, Jaime (Eds.) Cyber Defence in the Age of AI, Smart Societies and Augmented Humanity, Advanced Sciences and Technologies for Security Applications. Cham: Springer, 289-315. DOI: 10.1007/978-3-030-35746-7_14

JYU authors or editors

Publication details

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

Parent publication: Cyber Defence in the Age of AI, Smart Societies and Augmented Humanity

Parent publication editors: Jahankhani, Hamid; Kendzierskyj, Stefan; Chelvachandran, Nishan; Ibarra, Jaime

ISBN: 978-3-030-35745-0

eISBN: 978-3-030-35746-7

Journal or series: Advanced Sciences and Technologies for Security Applications

ISSN: 1613-5113

eISSN: 2363-9466

Publication year: 2020

Pages range: 289-315

Number of pages in the book: 450

Publisher: Springer

Place of Publication: Cham

Publication country: Switzerland

Publication language: English

DOI: https://doi.org/10.1007/978-3-030-35746-7_14

Open Access: Publication channel is not openly available

Abstract

Gathering and utilizing stored data is gaining popularity and has become a crucial component of smart building infrastructure. The data collected can be stored, for example, into private, public, or hybrid cloud service infrastructure or distributed service by utilizing data platforms. The stored data can be used when implementing services, such as building automation (BAS). Cloud services, IoT sensors, and data platforms can face several kinds of cybersecurity attack vectors such as adversarial, AI-based, DoS/DDoS, insider attacks. If a perpetrator can penetrate the defenses of a data platform, she can cause significant harm to the system. For example, the perpetrator can disrupt a building’s automatic heating system or break the heating equipment by using a suitable attack vector for a data platform. This chapter focuses on examining possibilities to protect cloud storage or data platforms from incoming cyberattacks by using, for instance, artificial-intelligence-based tools or trained neural networks that can detect and prevent typical attack vectors.

Keywords: intelligent systems; smart houses; cloud services; data security; cyber security; cyber attacks; artificial intelligence

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

Contributing organizations

Ministry reporting: Yes

Reporting Year: 2020

Preliminary JUFO rating: 2