Detecting Anomalies in Blockchain Transactions using Machine Learning Classifiers and Explainability Analysis
Authors: Mohammad Hasan, Mohammad Shahriar Rahman, Helge Janicke, Iqbal H. Sarker | Published: 2024-01-07
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Benchmark Evaluation of Anomaly-Based Intrusion Detection Systems in the Context of Smart Grids
Authors: Ömer Sen, Simon Glomb, Martin Henze, Andreas Ulbig | Published: 2023-12-21
Integration of Digital Twin and Federated Learning for Securing Vehicular Internet of Things
Authors: Deepti Gupta, Shafika Showkat Moni, Ali Saman Tosun | Published: 2023-07-25
CyPhERS: A Cyber-Physical Event Reasoning System providing real-time situational awareness for attack and fault response
Authors: Nils Müller, Kaibin Bao, Jörg Matthes, Kai Heussen | Published: 2023-05-26
SHATTER: Control and Defense-Aware Attack Analytics for Activity-Driven Smart Home Systems
Authors: Nur Imtiazul Haque, Maurice Ngouen, Mohammad Ashiqur Rahman, Selcuk Uluagac, Laurent Njilla | Published: 2023-04-27
Blockchain Large Language Models
Authors: Yu Gai, Liyi Zhou, Kaihua Qin, Dawn Song, Arthur Gervais | Published: 2023-04-25 | Updated: 2023-04-29
Reconstruction-based LSTM-Autoencoder for Anomaly-based DDoS Attack Detection over Multivariate Time-Series Data
Authors: Yuanyuan Wei, Julian Jang-Jaccard, Fariza Sabrina, Wen Xu, Seyit Camtepe, Aeryn Dunmore | Published: 2023-04-21
Detecting Unknown Encrypted Malicious Traffic in Real Time via Flow Interaction Graph Analysis
Authors: Chuanpu Fu, Qi Li, Ke Xu | Published: 2023-01-31
A White-Box Adversarial Attack Against a Digital Twin
Authors: Wilson Patterson, Ivan Fernandez, Subash Neupane, Milan Parmar, Sudip Mittal, Shahram Rahimi | Published: 2022-10-25
GFCL: A GRU-based Federated Continual Learning Framework against Data Poisoning Attacks in IoV
Authors: Anum Talpur, Mohan Gurusamy | Published: 2022-04-23 | Updated: 2022-09-12