AI-Powered Dynamic Encryption and Decryption Defense Model

Static cryptographic systems that rely on fixed algorithms and predetermined keys have proven increasingly ineffective in addressing today’s adaptive and AI-powered cyber threats. This paper proposes an Artificial Intelligence (AI)-enabled dynamic encryption and decryption defence model designed to...

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書誌詳細

主要な著者:	Chyanne Wen Qian Lor, Ibrahim Yusof, Anang Hudaya Muhamad Amin
フォーマット:	Artigo
言語:	Inglês
出版事項:	MMU Press 2026-06-01
シリーズ:	Journal of Informatics and Web Engineering
主題:	ai-based threat classification dynamic encryption suricata aes encryption intrusion detection system forensic integrity
オンライン･アクセス:	https://journals.mmupress.com/index.php/jiwe/article/view/2180
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