Published Paper Details:

The continued build-out of online infrastructure and digital services has greatly increased the threat of both passive and aggressive cyber attacks and thus threatens the accessibility, privacy and integrity of Sensitive data. A hybrid encryption and analysis based security framework to mitigate both passive and active attacks The system combines RSA and AES cryptographic algorithms for providing strong data security during transmission. A genetic algorithm based optimization technique is used to improve the detection of suspicious patterns in web usage. In addition, the model gives importance to early threat detection and prevention through web usage mining and access log analysis. The approach supports secure data flow, user behavior profiling, and real-time response to unauthorized activities with results to demonstrate improved accuracy, encryption strength.It contributes to more resilient, privacy-aware digital communication environments in dynamic threat landscapes.