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Learn about an innovative framework for automated malware detection and campaign tracking in this 43-minute conference talk from Security BSides London. Discover how big data analytics and machine learning clustering techniques are leveraged to identify, process, and track web-delivered malware samples in near real-time. Explore the implementation of heuristic analysis for autonomous threat detection, reducing manual intervention while improving accuracy across large datasets. Examine how clustering methodologies reveal patterns in malware behavior and network activity, providing crucial insights into threat actors' tactics, techniques, and procedures (TTPs). Study real-world malware campaign case studies that demonstrate the framework's effectiveness in enhancing cybersecurity defenses and understanding attacker strategies.
