Artificial Information Security System Generation to Prevent Security Risks
Zoya Hubenova, Filip Iliev, Antonio Andonov
Journal of Information Security Research, Vol. 14, No. 2, 2023.
DOI: https://doi.org/10.6025/jisr/2023/14/2/29-33
Link: https://www.dline.info/jisr/fulltext/v14n2/jisrv14n2_1.pdf
Abstract:
Information systems are frequently at risk and vulnerable to numerous attacks; hence, the functioning and effectiveness of the information systems need to be assessed. Artificial and intelligent information systems are susceptible; hence, the process of controlling responsible critical issues can be addressed by creating modelling and predicting future work. When this control system is designed, the information, organization and functioning can be well addressed. Using functional homeostasis, an erratic strategic system is designed in this work.