Data Leakage and Detection

Authors

  • Prathik B K School of Computer Science and Engineering, REVA University, Bengaluru, India
  • Manovikyath L School of Computer Science and Engineering, REVA University, Bengaluru, India
  • Sandeep Y School of Computer Science and Engineering, REVA University, Bengaluru, India
  • Aryaman School of Computer Science and Engineering REVA University, Bengaluru, India
  • Abhiram P School of Computer Science and Engineering REVA University, Bengaluru, India

DOI:

https://doi.org/10.5281/zenodo.11065679

Keywords:

Campus Network, Cisco Packet Tracer, Network Design, Quality of Service, Wireless Integration, Management and Monitoring

Abstract

 

We study the following problem: A data distributor has given sensitive data to a set of supposedly trusted agents (third parties). Some of the data are leaked and found in an unauthorized place (e.g., on the web or somebody's laptop). The distributor must assess the likelihood that the leaked data came from one or more agents, as opposed to having been independently gathered by other means. We propose data allocation strategies (across the agents) that improve the probability of identifying leakages. These methods do not rely on alterations of the released data (e.g., watermarks). In some cases, we can also inject “realistic but fake” data records to further improve our chances of detecting leakage and identifying the guilty party “realistic but fake” data records to further improve our chances of detecting leakage and identifying the guilty party.

References

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Published

2024-05-13

How to Cite

Prathik B K, Manovikyath L, Sandeep Y, Aryaman, & Abhiram P. (2024). Data Leakage and Detection. International Journal of Computational Learning & Intelligence, 3(2), 318–322. https://doi.org/10.5281/zenodo.11065679

Issue

Vol. 3 No. 2 (2024): April

Section

RESEARCH ARTICLES

License

Copyright (c) 2024 Prathik B K, Manovikyath L, Sandeep Y, Aryaman, Abhiram P

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

CC Attribution-NonCommercial-NoDerivatives 4.0