@inproceedings{d62609c9ea9b471fbb8171fe6866d606,
title = "Security Perspectives in Integrity Verification for Shared Data in Cloud—A Survey",
abstract = "As businesses move their data and services to cloud computing environments, it is crucial to ensure the security and integrity of that shared data. In order to study the new security perspectives in the context of integrity verification for shared data in the cloud, this research article conducts an extensive examination of the existing solutions. A key component of cloud security, data integrity, is thoroughly examined with an emphasis on the difficulties it faces and the consequences it may have in cloud-based scenarios. Analyzing the distinctive qualities of shared data in the cloud reveals the complications that develop when organizations access and work together on data inside a shared ecosystem. This article addresses research gaps and limitations within the existing solutions by critically examining prior studies. It emphasizes the requirement for novel strategies and answers to deal with the complex data integrity problems of shared data in cloud.",
keywords = "Cloud computing, Cloud security, Data integrity, Data security, Shared data",
author = "Harsh Pailkar and Thangavel Murugan",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.; 9th International Conference on Cyber Security, Privacy in Communication Networks, ICCS 2023 ; Conference date: 09-12-2023 Through 10-12-2023",
year = "2024",
doi = "10.1007/978-981-97-3973-8\_8",
language = "English",
isbn = "9789819739721",
series = "Lecture Notes in Networks and Systems",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "115--125",
editor = "Chaminda Hewage and Liqaa Nawaf and Nishtha Kesswani",
booktitle = "AI Applications in Cyber Security and Communication Networks - Proceedings of 9th International Conference on Cyber Security, Privacy in Communication Networks ICCS 2023",
address = "Germany",
}