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OPTIMIZATION OF RISK ASSESSMENT TO SUPPORT DECISION MAKING USING AN INTELLIGENT MODEL BASED ON FUZZY LOGICAL INFERENCE OF RENEWABLE RULES

Suzdalsky Dmitry Andreevich  (graduate student, Department of Applied Informatics and Information Security, Russian Economic University. G.V. Plekhanov )

The unreliability of wired communications and the risks of controlling the data transfer process, as well as the complexity affecting data protection and the high costs of system infrastructure, have led to the use of wireless communications. However, these networks are vulnerable to cyber-attacks. The side effects of these attacks are changing data or penetrating the security system and exposing its weaknesses, which leads to large losses. These risks and complexities have led to the move away from wired communications and towards the adoption of smart techniques and strong encryption algorithms to protect against cyber-attacks. The article presents a scenario for intelligent technology to improve the reliability of data transmission and proposes a new way to increase the level of protection, as well as reduce infrastructure costs.

Keywords:encryption key, encryption, fuzzy, risk assessment, WLAN.

 

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Citation link:
Suzdalsky D. A. OPTIMIZATION OF RISK ASSESSMENT TO SUPPORT DECISION MAKING USING AN INTELLIGENT MODEL BASED ON FUZZY LOGICAL INFERENCE OF RENEWABLE RULES // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2024. -№06. -С. 121-127 DOI 10.37882/2223-2966.2024.06.36
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