15 citations · 17 across the 5 of their papers we have counts for
6 papers
Precise Feature Selection and Case Study of Intrusion Detection in an Industrial Control System (ICS) Environment
Terry Guo, Animesh Dahal, Ambareen Siraj
This paper presents analytical techniques to improve redundancy and relevance assessment for precise selection of features in practical multi-class raw datasets. We propose a matri…
Privacy Protection of Grid Users Data with Blockchain and Adversarial Machine Learning
Ibrahim Yilmaz, Kavish Kapoor, Ambareen Siraj +1
Utilities around the world are reported to invest a total of around 30 billion over the next few years for installation of more than 300 million smart meters, replacing traditional…
Improving DGA-Based Malicious Domain Classifiers for Malware Defense with Adversarial Machine Learning
Ibrahim Yilmaz, Ambareen Siraj, Denis Ulybyshev
Domain Generation Algorithms (DGAs) are used by adversaries to establish Command and Control (C\&C) server communications during cyber attacks. Blacklists of known/identified C\&C…
Avoiding Occupancy Detection from Smart Meter using Adversarial Machine Learning
ibrahim Yilmaz, Ambareen Siraj
More and more conventional electromechanical meters are being replaced with smart meters because of their substantial benefits such as providing faster bi-directional communication…
Investigating bankruptcy prediction models in the presence of extreme class imbalance and multiple stages of economy
Sheikh Rabiul Islam, William Eberle, Sheikh K. Ghafoor +3
In the area of credit risk analytics, current Bankruptcy Prediction Models (BPMs) struggle with (a) the availability of comprehensive and real-world data sets and (b) the presence…
Domain Knowledge Aided Explainable Artificial Intelligence for Intrusion Detection and Response
Sheikh Rabiul Islam, William Eberle, Sheikh K. Ghafoor +2
Artificial Intelligence (AI) has become an integral part of modern-day security solutions for its ability to learn very complex functions and handling "Big Data". However, the lack…