On Specification-based Cyber-Attack Detection in Smart Grids
Authors: Ömer Sen Dennis van der Velde, Maik Lühman, Florian Sprünken, Immanuel Hacker, Andreas Ulbig, Michael Andres, Martin Henze | Published: 2022-09-09
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RX-ADS: Interpretable Anomaly Detection using Adversarial ML for Electric Vehicle CAN data
Authors: Chathurika S. Wickramasinghe, Daniel L. Marino, Harindra S. Mavikumbure, Victor Cobilean, Timothy D. Pennington, Benny J. Varghese, Craig Rieger, Milos Manic | Published: 2022-09-05
Explainable Intrusion Detection Systems (X-IDS): A Survey of Current Methods, Challenges, and Opportunities
Authors: Subash Neupane, Jesse Ables, William Anderson, Sudip Mittal, Shahram Rahimi, Ioana Banicescu, Maria Seale | Published: 2022-07-13
LBDMIDS: LSTM Based Deep Learning Model for Intrusion Detection Systems for IoT Networks
Authors: Kumar Saurabh, Saksham Sood, P. Aditya Kumar, Uphar Singh, Ranjana Vyas, O. P. Vyas, Rahamatullah Khondoker | Published: 2022-06-23
On Generalisability of Machine Learning-based Network Intrusion Detection Systems
Authors: Siamak Layeghy, Marius Portmann | Published: 2022-05-09
Ensemble Classifier Design Tuned to Dataset Characteristics for Network Intrusion Detection
Authors: Zeinab Zoghi, Gursel Serpen | Published: 2022-05-08
An Online Ensemble Learning Model for Detecting Attacks in Wireless Sensor Networks
Authors: Hiba Tabbaa, Samir Ifzarne, Imad Hafidi | Published: 2022-04-28
ARLIF-IDS — Attention augmented Real-Time Isolation Forest Intrusion Detection System
Authors: Aman Priyanshu, Sarthak Shastri, Sai Sravan Medicherla | Published: 2022-04-20
FGAN: Federated Generative Adversarial Networks for Anomaly Detection in Network Traffic
Authors: Sankha Das | Published: 2022-03-21
AdIoTack: Quantifying and Refining Resilience of Decision Tree Ensemble Inference Models against Adversarial Volumetric Attacks on IoT Networks
Authors: Arman Pashamokhtari, Gustavo Batista, Hassan Habibi Gharakheili | Published: 2022-03-18