Virtual Private Networks (VPNs) are fundamental to secure communication over untrusted networks. Among the available VPN technologies, IPsec is widely adopted across enterprise, government, military, and cloud infrastructures because of its ability to provide confidentiality, integrity and authentication. However, the security of an IPsec deployment depends on multiple factors, including the chosen cryptographic algorithms, authentication mechanisms, key exchange protocols, and operational mode
Design and develop an AI-driven protocol analysis system that can automatically analysing IPsec VPN deployments established under different security configurations.
Virtual Private Networks (VPNs) are fundamental to secure communication over untrusted networks Among the available VPN technologies, IPsec is widely adopted across enterprise, government, military, and cloud infrastructures because of its ability to provide confidentiality, integrity and... However, the security of an IPsec deployment depends on multiple factors, including the chosen cryptographic algorithms, authentication mechanisms, key exchange protocols, and operational mode
Design and develop an AI-driven protocol analysis system that can automatically analysing IPsec VPN deployments established under different security configurations. The system should inspect captured traffic or live network streams, identify protocol characteristics, infer VPN operating modes, evaluate cryptographic configurations and generate an automated security assessment report. The expected system must assist analysts in understanding the security posture of IPsec deployments without requiring manual packet inspection. Participants are expected to develop an intelligent framework that can performing the following tasks. a) VPN Testbed Generation: Develop a laboratory environment that can establishing IPsec VPNs using multiple configurations. The framework should support variatio