Electronic mail remains one of the most critical communication services for governments, enterprises, financial institutions, and academic organizations. Despite the widespread adoption of Transport Layer Security (TLS), many SMTP, IMAP, and POP3 deployments continue to suffer from cryptographic misconfigurations such as obsolete TLS versions, weak cipher suites, insecure STARTTLS implementations, expired or improperly configured certificates, and non-compliance with modern security standards. T
Design and develop an AI-assisted passive network forensic framework that can analyzing captured network traffic (PCAP files) containing SMTP, IMAP, and POP3 communications to automatically assess the cryptographic...
Electronic mail remains one of the most critical communication services for governments, enterprises, financial institutions, and academic organizations Despite the widespread adoption of Transport Layer Security (TLS), many SMTP, IMAP, and POP3 deployments continue to suffer from cryptographic misconfigurations such as obsolete TLS versions, weak...
Design and develop an AI-assisted passive network forensic framework that can analyzing captured network traffic (PCAP files) containing SMTP, IMAP, and POP3 communications to automatically assess the cryptographic security posture of enterprise email infrastructures. The proposed solution shall reconstruct complete email communication sessions, identify encryption transitions, analyze TLS negotiations, validate digital certificates, detect cryptographic weaknesses, and leverage Artificial Intelligence/Machine Learning techniques to classify security risks, detect anomalous TLS behavior, and generate actionable security recommendations. The framework should assist Security Operations Centers (SOC), Digital Forensics teams, Incident Response teams, and enterprise administrators in rapidly