Deep Transfer Learning: A Novel Collaborative Learning Model for Cyberattack Detection Systems in IoT NetworksIEEE Internet of Things Journal - Tập 10 Số 10 - Trang 8578-8589 - 2023
Tran Viet Khoa, Dinh Thai Hoang, Nguyen Linh Trung, Cong T. Nguyen, Tran Thi Thuy Quynh, Diep N. Nguyen, Nguyen Viet Ha, Eryk Dutkiewicz
Federated learning (FL) has recently become an effective approach for
cyberattack detection systems, especially in Internet of Things (IoT) networks.
By distributing the learning process across IoT gateways, FL can improve
learning efficiency, reduce communication overheads, and enhance privacy for
cyberattack detection systems. However, one of the biggest challenges for
deploying FL in IoT networ... hiện toàn bộ
#Cyberattack detection #cybersecurity #deep learning (DL) #federated learning (FL) #Internet of Things (IoT) #transfer learning (TL)
Cybersecurity Analysis of Data-Driven Power System Stability AssessmentIEEE Internet of Things Journal - Tập 10 Số 17 - Trang 15723-15735 - 2023
Zhenyong Zhang, Ke Zuo, Ruilong Deng, Fei Teng, Mingyang Sun
Machine learning-based intelligent systems enhanced with Internet of Things
(IoT) technologies have been widely developed and exploited to enable the
real-time stability assessment of a large-scale electricity grid. However, it
has been extensively recognized that the IoT-enabled communication network of
power systems is vulnerable to cyberattacks. In particular, system operating
states, critical ... hiện toàn bộ
#Adversarial examples #cyber security #decision trees (DTs) #physics-constrained machine learning (ML) #transient stability assessment (TSA)
6G Internet of Things: A Comprehensive SurveyIEEE Internet of Things Journal - Tập 9 Số 1 - Trang 359-383 - 2022
Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, Dusit Niyato, Octavia A. Dobre, H. Vincent Poor