Enhancing Cloud Security: A Multi-Factor Authentication and Adaptive Cryptography Approach Using Machine Learning Techniques

The rapid expansion of cloud computing underscores the critical need for advanced security measures to protect sensitive data on remote servers. Authentication is crucial for safeguarding these data. Despite various proposed methods, vulnerabilities persist. This article introduces a novel multi-fac...

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Vydané v:	IEEE open journal of the Computer Society Ročník 6; s. 392 - 402
Hlavní autori:	Sasikumar, K., Nagarajan, Sivakumar
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Adaptive cryptography Algorithms attack prediction Authentication Biometrics Cloud computing cloud security Cryptography Cybersecurity dual encryption dynamic encryption algorithms Encryption Fingerprint recognition Fingerprint verification Heuristic algorithms hybrid CNN-transformer model Machine learning machine learning techniques multi-factor authentication Passwords Prediction algorithms Security Spoofing
ISSN:	2644-1268, 2644-1268
On-line prístup:	Získať plný text
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