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Research Paper | Computer Science | Volume 15 Issue 5, May 2026 | Pages: 438 - 441 | India
Multimodal Secure Communication and Filtering Engine
Abstract: "Multimodal Secure Communication and Filtering Engine" is designed to deliver a robust and user-friendly communication platform by integrating multiple advanced technologies. The system employs hybrid cryptography to provide strong end-to-end encryption, ensuring that all messages remain confidential and tamper-proof. To enhance user safety, the platform incorporates intelligent content monitoring. Malicious URL detection powered by a Random Forest classifier and hate speech detection using NLP and BiLSTM models work together to identify and block harmful content in real time. This proactive filtering protects users from threats such as phishing, cyber attacks, and abusive language. Security is further reinforced through multi-factor authentication (MFA) options. Users can choose between Basic, Two-Factor, or Three-Factor authentication based on their security needs. The addition of face recognition provides a strong biometric layer, preventing unauthorized access and strengthening overall account protection. By combining encryption, intelligent content filtering, and flexible authentication methods, the system ensures a safer and more reliable online experience for all users.
Keywords: BiLSTM, NLP, CNN, Random Forest
How to Cite?: Sreeja KS, Jishnu S, Dr. Smita C Thomas, "Multimodal Secure Communication and Filtering Engine", Volume 15 Issue 5, May 2026, International Journal of Science and Research (IJSR), Pages: 438-441, https://www.ijsr.net/getabstract.php?paperid=MR26507224451, DOI: https://dx.dx.doi.org/10.21275/MR26507224451