An Explanatory Strategy for Reducing the Risk of Privacy Leaks

Liu, Mingting; Liu, Xiaozhang; Yan, Anli; Li, Xiulai; Xie, Gengquan; Tang, Xiaohu

doi:10.32604/jihpp.2021.027385

Cited by 1 publication

(2 citation statements)

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“…However, the streaming era brings new issues, the most basic of which is the acquisition of sensitive personal data and its “processing” via automated means. Personal data are information about a living person who can be identified (e.g., name, home address, e-mail address, location data, and usage data) [ 3 ]. If put together, different information can identify a particular person as personal data.…”

Section: Introductionmentioning

confidence: 99%

“…So, it is essential to have an intelligent mechanism that can manage the consent granted to have a case for creating a profile, which can regulate the use, and therefore, there is a case of data leakage. Based on the adoption of the Markov chain methodology [ 9 ], it is proposed to implement an intelligent consent management system in Music Streaming Services, which considers the current state of consent for the future development and forecast possible leaks of sensitive personal data [ 3 , 10 ].…”

Section: Introductionmentioning

confidence: 99%

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Privacy Leaks Protection in Music Streaming Services Using an Intelligent Permissions Management System

Wang

2022

Computational Intelligence and Neuroscience

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A security violation is referred to as a personal data breach when it leads to unintentional and unlawful destruction, loss, alteration, unauthorized disclosure, or access to personal data that has been communicated, stored, or otherwise processed in some other manner. Based on the principles of information security, we can define a breach of confidentiality as the unauthorized or accidental disclosure or access to personal data, a breach of integrity as the unauthorized or accidental alteration of personal data, and a breach of availability as the unauthorized or accidental loss of access to or destruction of personal data. This paper suggests designing an intelligent consensus policy management system based on the Markov chain approach. It is a novel system that would analyze the present status of the consensus elements for future development and anticipates the possibility of possible breaches of sensitive personal data. The evaluation of the proposed strategy is based on a policy scenario that involves a hypothetical consensus and a data breach of sensitive information to music streaming services.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%