Privacy-Preserving Techniques in Big Data Analytics: A Cybersecurity Assessment-Reference-Cited by-同舟云学术

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Privacy-Preserving Techniques in Big Data Analytics: A Cybersecurity Assessment

Published:2023-11-14 Issue: Volume:55 Page:282-286
ISSN:
Container-title:2023 International Conference for Technological Engineering and its Applications in Sustainable Development (ICTEASD)
language:
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Author:

Chandrakala P.¹,Balmiki Vinod²,Upadhyay Deepti³,Al-Attabi Kassem⁴,Sadim Mohd.⁵,Esanmurodova N.⁶,SrihithaGunapriya Nimmala⁷

Affiliation:

1. Prince Shri Venkateshwara Padmavathy Engineering College,Electrical and Electronics Engineering,Chennai,Tamil Nadu,India,127

2. Uttaranchal University,Civil Engineering Uttaranchal Institute of Technology,Dehradun,Uttarakhand,India,248007

3. IES College Of Technology,Computer Science & Engineering,Bhopal,Madhya Pradesh,India,462044

4. The Islamic University,Najaf,Iraq

5. IES University,Computer Science & Engineering IES Institute of Technology and Management,Bhopal,Madhya Pradesh,India,462044

6. Tashkent Institute of Irrigation and Agricultural Mechanization Engineers Ational Research University,Tashkent,Uzbekistan

7. GRIET,Hyderabad,Telangana,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10584830/10584588/10584957.pdf?arnumber=10584957

Reference15 articles.

1. Advances and Open Problems in Federated Learning

2. Hybrid Model for Privacy Preserving Federated Learning in IoT;Bhowmick;Sustainable Cities and Society,2020

3. On the Limits of Privacy in Differentially Private Data Release;Naveed

4. Constrained Pseudorandom Functions and Their Applications

5. Practical techniques for searches on encrypted data

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