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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-tekijät tai -toimittajat
Julkaisun tiedot
Julkaisun kaikki tekijät tai toimittajat: Vähäkainu, Petri; Lehto, Martti
Emojulkaisu: Artificial Intelligence and Cybersecurity : Theory and Applications
Emojulkaisun toimittajat: Sipola, Tuomo; Kokkonen, Tero; Karjalainen, Mika
ISBN: 978-3-031-15029-6
eISBN: 978-3-031-15030-2
Julkaisuvuosi: 2023
Ilmestymispäivä: 08.12.2022
Artikkelin sivunumerot: 3-27
Kirjan kokonaissivumäärä: 301
Kustantaja: Springer
Kustannuspaikka: Cham
Julkaisumaa: Sveitsi
Julkaisun kieli: englanti
DOI: https://doi.org/10.1007/978-3-031-15030-2_1
Julkaisun avoin saatavuus: Ei avoin
Julkaisukanavan avoin saatavuus:
Tiivistelmä
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.
YSO-asiasanat: kyberturvallisuus; tekoäly; koneoppiminen
Vapaat asiasanat: anomaly; artificial intelligence; cognitive abilities; cybersecurity; supervised machine learning; unsupervised machine learning
Liittyvät organisaatiot
OKM-raportointi: Kyllä
Raportointivuosi: 2023
JUFO-taso: 2
