An integrated web-based security framework for multi-model threat detection
Anil Kumar, Pinjari Sameer Basha, Kaku Ram, Koppala Thrishank Reddy, Ajay Thatipamula, Manchekar Sharvani · IET conference proceedings. · 2025
This paper analyzes a more sophisticated webbased platform that integrates image security analysis, email threat detection, and file encryption within a single framework. Our research suggests that this integrated approach was able to accomplish sub-second response times along with a threat detection accuracy of 95.8% from one user study containing 50 participants and over 1,000 security events. Our system’s main features are real-time email threat processing, large scale image processing, and multi-layered encryption (AES, Triple DES, and ChaCha20). Interestingly, 87% of the subjects preferred this integrated solution, which speaks to the clear benefits of these approaches over single-function security systems. Additionally, the research demonstrates that further combining these features can increase the user’s interest in the security measures as well as improve the accuracy of systems needing monitoring, such as intrusion detection systems.