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Online information leaker identification scheme for secure data sharing

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Abstract

This paper proposes a novel scheme for the leaker identification that deals with the dynamic scenario by handling the requests of the users in an online custom. A distribution strategy is introduced having less risk associated with exposing the data and furthermore improves the likelihood of identifying the leaker when the information is revealed by the malicious user. The observed results signify an improvement of up to 41%, 368%, and 318% for average probability, average success rate, and detection rate respectively compared to the prior work. Also, the proposed framework significantly minimizes the possibility of data leakage up to 88% and synchronously achieves a 100% efficacy rate.

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Acknowledgements

The authors would like to thank all the anonymous reviewers for their valuable comments. This work was financially supported by the University Grants Commission (UGC), Government of India.

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  1. National Institute of Technology Kurukshetra, Kurukshetra, India

    Ashutosh Kumar Singh & Ishu Gupta

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  1. Ashutosh Kumar Singh
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  2. Ishu Gupta
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Correspondence to Ishu Gupta.

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Singh, A.K., Gupta, I. Online information leaker identification scheme for secure data sharing. Multimed Tools Appl 79, 31165–31182 (2020). https://doi.org/10.1007/s11042-020-09470-9

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  • DOI: https://doi.org/10.1007/s11042-020-09470-9

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