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Cloud Secrecy: Techniques for Improving Data Security and Protection in Cloud Capacity

  • 2026
  • OriginalPaper
  • Chapter
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Abstract

This chapter delves into the critical aspects of data security and privacy in cloud storage, highlighting the importance of encryption techniques such as identity-based encryption (IBE), attribute-based encryption (ABE), homomorphic encryption, and searchable encryption. It addresses key challenges like data integrity, data deletion, and anti-leak measures, providing innovative solutions to ensure robust protection. The text also explores current research topics, including one-to-many encryption, privacy-preserving machine learning, and post-quantum cryptography, offering insights into future directions for enhancing cloud security. Additionally, it discusses the role of cloud computing in various industries and the need for continuous innovation to address emerging threats. The conclusion emphasizes the importance of recognizing core concepts of information security and the potential for further research to mitigate risks and improve data protection in cloud environments.

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Title
Cloud Secrecy: Techniques for Improving Data Security and Protection in Cloud Capacity
Authors
T. N. Ranganadham
J. Mahendra Reddy
L. Kiran
B. ManiKanth
B. Lokeswar
R. Madhan Mohan
Copyright Year
2026
Publisher
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-95-0269-1_14
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