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  Published Paper Details:

  Paper Title

Data Leakage Detection And Prevention Using Cloud Computing

  Authors

  Aarti Dengale,  Nagsen Bansod

  Keywords

Data Leakage Detection

  Abstract


In today's digital era, cloud computing is widely adopted for storing and managing data. However, it brings serious challenges related to data leakage, unauthorized access, and security breaches. This research presents a comprehensive system for detecting and preventing data leakage in cloud environments. The proposed approach integrates Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC), digital watermarking, and anomaly detection techniques such as Isolation Forest. It also incorporates Zero Trust principles and secure logging mechanisms to ensure end-to-end protection. The experimental results show that the system effectively identifies suspicious behavior and prevents unauthorized data access with minimal overhead. This work contributes to building a secure and reliable cloud infrastructure for sensitive data storage and transmission.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2507178

  Paper ID - 289847

  Page Number(s) - b589-b591

  Pubished in - Volume 13 | Issue 7 | July 2025

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Aarti Dengale,  Nagsen Bansod,   "Data Leakage Detection And Prevention Using Cloud Computing", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 7, pp.b589-b591, July 2025, Available at :http://www.ijcrt.org/papers/IJCRT2507178.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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