Published on: April 2026
E-MAIL SECURITY AND AUTHENTICATION
Syeda Zeba Qureshi Taha Asjad Mir Ahmed Ali Mohammed Abdul Moeed Mohammed Islamul Haq
Adeeba Anjum
Article Status
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Abstract
At the same time, Online Social Networks (OSNs) face issues related to unwanted or inappropriate content appearing on users’ personal spaces. Current platforms offer limited control over such posts. To solve this problem, a system is introduced that enables users to manage and filter messages on their walls using customizable rules. These rules allow users to define what type of content is acceptable.
In addition, a Machine Learning-based classifier is used to automatically analyze and categorize messages, supporting intelligent filtering. This approach improves content control, user privacy, and overall experience in both e-mail communication and social networking platforms.
Keywords— E-mail Tracking ; Message Receipt System ; Online Social Networks(OSNs) ; Content Filtering ; Machine Learning Classifier.
How to Cite this Paper
Qureshi, S. Z., Asjad, T., Ali, M. A., Moeed, M. A. & Haq, M. I. (2026). E-mail Security and Authentication. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i3.285
Qureshi, Syeda, et al.. "E-mail Security and Authentication." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i3.285.
Qureshi, Syeda,Taha Asjad,Mir Ali,Mohammed Moeed, and Mohammed Haq. "E-mail Security and Authentication." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i3.285.
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- •Peer Review Type: Double-Blind Peer Review
- •Published on: Apr 02 2026
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