Leveraging Deep Autoencoders for Security in Big Data Framework: An Unsupervised Cloud Computing Approach-Reference-Cited by-同舟云学术

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Leveraging Deep Autoencoders for Security in Big Data Framework: An Unsupervised Cloud Computing Approach

Published:2024-03-15 Issue: Volume:195 Page:1-5
ISSN:
Container-title:2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT)
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Author:

Roy Sourav¹,G S Nijaguna²,Shankar Smitha Sharath³,Adnan Myasar Mundher⁴,Umaeswari P⁵

Affiliation:

1. CHRIST (Deemed to be University),Department of Electronics and Communication engineering,Bangalore,India

2. S.E.A. College of Engineering and Technology,Department of Information Science and Engineering,Bangalore,India

3. Nitte Meenakshi Institute of Technology,Dept of ECE,Bengaluru,India

4. The Islamic university,Najaf,Iraq

5. R.M.K. Engineering College,Department of Computer Science and Business Systems,Kavaraipettai,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10515307/10515308/10515899.pdf?arnumber=10515899

Reference11 articles.

1. An Efficient and Secure Big Data Storage in Cloud Environment by Using Triple Data Encryption Standard

2. Blockchain-based delegated Quantum Cloud architecture for medical big data security

3. Application of cloud computing in banking and e-commerce and related security threats

4. An Optimized IoT-Enabled Big Data Analytics Architecture for Edge–Cloud Computing

5. A Novel Effective Lightweight Homomorphic Cryptographic Algorithm for data security in cloud computing

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