ISSN No:2250-3676 ----- Crossref DOI Prefix: 10.64771
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Scholarly Peer Reviewed and Fully Referred Open Access Multidisciplinary Monthly Research Journal


    EMAIL NAVIGATION ANALYSIS FOR DETECTING AND TRACING CRIMINAL ACTIVITIES

    NELLI RAVALIKA,ANUGU PAVANI

    Author

    ID: 1573

    DOI:

    Abstract :

    Email Is An Important Tool For Modern Communication, But It May Also Be Used Unlawfully For Extortion, Fraud, And Cyberstalking. We Use Semantic Content, Network Design, Frequency, And Metadata To Investigate Strategies For Detecting And Tracking Unlawful Actions In Email Navigation Analysis. To Simplify And Analyze Complicated Data, The Ideal System Should Employ Machine Learning, Natural Language Processing (NLP), And Graph-based Visualization. Email Will Continue To Be An Effective Communication Tool Because It Assists Law Enforcement In Detecting Suspicious Behavior, Developing Contacts With Potential Suspects, And Improving Security. Keywords: Email Forensics, Cybercrime Detection, Natural Language Processing (NLP) And Criminal Network Analysis

    Published:

    25-8-2025

    Issue:

    Vol. 25 No. 8 (2025)


    Page Nos:

    364-369


    Section:

    Articles

    License:

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

    How to Cite

    NELLI RAVALIKA,ANUGU PAVANI, EMAIL NAVIGATION ANALYSIS FOR DETECTING AND TRACING CRIMINAL ACTIVITIES , 2025, International Journal of Engineering Sciences and Advanced Technology, 25(8), Page 364-369, ISSN No: 2250-3676.

    DOI: