Encrypted Traffic Analysis
Course Description
With the growing use of encrypted traffic, the traditional approach of Network Forensics should also include SSL/TLS Forensics. Therefore, Encrypted Traffic Analysis is the process of capturing information exchanged through SSL (TLS) connections and trying to visualise and extract meaningful information from it to help in forensics analysis and tracing suspicious activities over encrypted channels. Encrypted Traffic Analysis (ETA) tries to extract meaningful insights from encrypted network traffic without requiring decrypting it.
This methodology enhances visibility into encrypted traffic without introducing scalability issues, latency concerns, or privacy violations. As the prevalence of malware campaigns concealed within encrypted traffic continues to rise, the ability to detect malicious SSL traffic becomes vital in ensuring compliance and maintaining the required level of protection.
Encrypted Traffic Analysis employs various methods to analyse encrypted traffic, allowing organisations to extract valuable information while still respecting the privacy and security provided by encryption. Traditionally, network traffic analysis involved inspecting unencrypted data packets to understand network behaviour, detect anomalies, and identify potential security threats. However, the widespread use of encryption, particularly Transport Layer Security (TLS) and Secure Sockets Layer (SSL) protocols, has made it more difficult to inspect network traffic content.
Our Encrypted Traffic Analysis (ETA) course trains you to understand how to analyse encrypted network traffic to extract useful information and gain insights about communication patterns, content, or metadata, even when the data is protected by encryption. ETA techniques aim to overcome the challenges posed by the increasing prevalence of encryption in network communications.
