Secure Persona Prediction and Data Leakage Prevention System

Author(s)	Mrs. Nanda M B, Brunda A, Tejaswini P, Rakshitha B, Aksharani M S
Country	India
Abstract	Data leakage is a growing cybersecurity challenge that can cause major financial and reputational losses. Existing solutions like CP-ABE, Minifilter-based DLP, and GNN-based SeGate models address limited security aspects but lack adaptability and real-time behavioral analysis. This work proposes a Secure Persona Prediction and Data Leakage Prevention System that combines CP-ABE, AES encryption, and machine learning–based persona prediction to detect insider and external threats proactively. The system identifies abnormal user behavior, applies dynamic encryption-based access control, and secures sessions using JWT authentication. Experimental results show improved detection accuracy, reduced false positives, and efficient encryption performance, making the framework suitable for scalable enterprise data protection.
Keywords	Data Leakage Prevention, Machine Learning, Persona Prediction, CP-ABE, AES Encryption, Python Security, Insider Threat Detection.
Field	Engineering
Published In	Volume 7, Issue 6, November-December 2025
Published On	2025-12-11
DOI	https://doi.org/10.36948/ijfmr.2025.v07i06.62682

About IJFMR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9687-828-838	editor@ijfmr.com

International Journal For Multidisciplinary Research