Incremental Machine Learning by Example: Detecting Suspicious Activity with Zeek Data Streams, River, and JA3 Hashes

tl:dr Incremental Learning is an extremely useful machine learning paradigm for deriving insight into cyber security datasets. This post provides a simple example involving JA3 hashes showing how some of the foundational algorithms that enable incremental learning techniques can be applied to novelty detection (the first time something has happened) and outlier detection (rare events) … Continue reading Incremental Machine Learning by Example: Detecting Suspicious Activity with Zeek Data Streams, River, and JA3 Hashes →

Research Paper – Machine Learning for Static Malware Analysis, with University College London

For the past few years, NCC Group has been an industry partner to the Centre for Doctoral Training in Data Intensive Science (CDT in DIS) at University College London (UCL). CDT is composed of a group of over 80 academics from across UCL in areas such as High Energy Physics, Astrophysics, Atomic and Molecular Physics, … Continue reading Research Paper – Machine Learning for Static Malware Analysis, with University College London →