Intrusion Detection Systems for IoT: opportunities and challenges offered by Edge Computing and Machine Learning
Authors: Pietro Spadaccino, Francesca Cuomo | Published: 2020-12-02 | Updated: 2022-04-14
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Machine Learning-Based Early Detection of IoT Botnets Using Network-Edge Traffic
Authors: Ayush Kumar, Mrinalini Shridhar, Sahithya Swaminathan, Teng Joon Lim | Published: 2020-10-22
DNS Covert Channel Detection via Behavioral Analysis: a Machine Learning Approach
Authors: Salvatore Saeli, Federica Bisio, Pierangelo Lombardo, Danilo Massa | Published: 2020-10-04
Real-Time Anomaly Detection in Edge Streams
Authors: Siddharth Bhatia, Rui Liu, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos | Published: 2020-09-17 | Updated: 2022-04-25
PicoDomain: A Compact High-Fidelity Cybersecurity Dataset
Authors: Craig Laprade, Benjamin Bowman, H. Howie Huang | Published: 2020-08-20
Detecting Abnormal Traffic in Large-Scale Networks
Authors: Mahmoud Said Elsayed, Nhien-An Le-Khac, Soumyabrata Dev, Anca Delia Jurcut | Published: 2020-08-13
Bayesian Optimization with Machine Learning Algorithms Towards Anomaly Detection
Authors: MohammadNoor Injadat, Fadi Salo, Ali Bou Nassif, Aleksander Essex, Abdallah Shami | Published: 2020-08-05
Feature Selection and Intrusion Detection in Cloud Environment based on Machine Learning Algorithms
Authors: Amir Javadpour, Sanaz Kazemi Abharian, Guojun Wang | Published: 2020-04-15
Free-riders in Federated Learning: Attacks and Defenses
Authors: Jierui Lin, Min Du, Jian Liu | Published: 2019-11-28
Abnormal Client Behavior Detection in Federated Learning
Authors: Suyi Li, Yong Cheng, Yang Liu, Wei Wang, Tianjian Chen | Published: 2019-10-22 | Updated: 2019-12-06