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Strengthening KMS Security with Advanced Cryptography, Machine Learning, Deep Learning, and IoT Technologies
Justin Onyarin Ogalaa✉, Shahnawaz Ahmadb, Iman Shakeelc, Javed Ahmadd, Shabana Mehfuzc
- aDepartment of Cyber Security, University of Delta, Agbor, Nigeria
- bDepartment of Computer Science & Engineering, Mewat Engineering College (WAQF), Mewat, Nuh, Haryana, 122107, India
- cDepartment of Electrical Engineering, Jamia Millia Islamia (A Central University), New Delhi, 110025, India
- dDepartment of Computer Science, School of Engineering Sciences & Technology (SEST) Jamia Hamdard (Deemed to be University), Hamdard Nagar, New Delhi, 110062, India
- ✉Corresponding author
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Abstract
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TL;DRThis research provides a comprehensive overview of the state-of-the-art in cloud data security, identifying key vulnerabilities in existing KMS and outlining a distinctive framework based on the combined application of advanced cryptography, machine learning, deep learning, and IoT. (Semantic Scholar)