Publications
Process Aware Stealthy Attack Detection in Industrial Control Systems
PublishedIn: OpenAIRE (22 March 2022) View now
Authors: Rahul Raj,Etienne B. Roesch, Jaime Aria, Gabriel Ne
Summary: This is a python implementation of the original work in the paper Wissam Aoudi, Mikel Iturbe, and Magnus Almgren. 2018. Truth Will Out. Departure-Based Process-Level Detection of Stealthy Attacks on Control Systems. In 2018 ACM SIGSAC Conference on Computer and Communications Security (CCS ’18), October 15–19, 2018, Toronto, ON, Canada. ACM, New York, NY, USA, 15 pages. https://doi.org/10.1145/3243734.3243781 URL: https://zenodo.org/record/6375751#.Y2dUR2lX6Nw
Diffusion Map for Manifold Learning, Theory and Implementation
PublishedIn: KDNuggets (14 March 2020) View now
Authors: Rahul Raj
Summary: ‘Curse of dimensionality’ is a well-known problem in Data Science, which often causes poor performance, inaccurate results, and, most importantly, a similarity measure break-down. The primary cause of this is because high dimensional datasets are typically sparse, and often a lower-dimensional structure or ‘Manifold’ would embed this data. So there is a non-linear relationship among the variables (or features or dimensions), which we need to learn to compute better similarity. URL: https://www.kdnuggets.com/2020/03/diffusion-map-manifold-learning-theory-implementation.html