A3 Book section, Chapters in research books
Use of Artificial Intelligence in a Cybersecurity Environment (2023)

Vähäkainu, P., & Lehto, M. (2023). Use of Artificial Intelligence in a Cybersecurity Environment. In T. Sipola, T. Kokkonen, & M. Karjalainen (Eds.), Artificial Intelligence and Cybersecurity : Theory and Applications (pp. 3-27). Springer. https://doi.org/10.1007/978-3-031-15030-2_1

JYU authors or editors

Publication details

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

Parent publication: Artificial Intelligence and Cybersecurity : Theory and Applications

Parent publication editors: Sipola, Tuomo; Kokkonen, Tero; Karjalainen, Mika

ISBN: 978-3-031-15029-6

eISBN: 978-3-031-15030-2

Publication year: 2023

Publication date: 08/12/2022

Pages range: 3-27

Number of pages in the book: 301

Publisher: Springer

Place of Publication: Cham

Publication country: Switzerland

Publication language: English

DOI: https://doi.org/10.1007/978-3-031-15030-2_1

Publication open access: Not open

Publication channel open access:

Abstract

Artificial Intelligence (AI) is the intelligence exhibited by machines. Any system that perceives its environment and takes actions to maximize its chance of succeeding in a goal can be defined as AI. When using digital sensor data, AI-based devices can be used to develop smart advisors, teachers, or assistants. The risks associated with the use of AI technology may be related to operating systems, hardware, algorithms, or system management. Ethics, liability and privacy can also be compromised. Research in this field focuses on the threats and risks of AI and how AI can help solve cybersecurity problems. This study uses the taxonomy classification principle to classify 12 of the most crucial cybersecurity areas. The research method was to gather 10 AI solutions, which were divided into seven different categories of crucial areas of cybersecurity. These AI solutions uses artificial intelligence to detect, predict and block security threats and anomalies. The purpose of the study is to classify the collected AI-based cybersecurity solutions and provide information on what they can offer in solving cybersecurity problems.

Keywords: cyber security; artificial intelligence; machine learning

Free keywords: anomaly; artificial intelligence; cognitive abilities; cybersecurity; supervised machine learning; unsupervised machine learning

Contributing organizations

Ministry reporting: Yes

Reporting Year: 2023

Preliminary JUFO rating: 2