Results 111 to 120 of about 230,799 (122)

An Intrusion-Detection Model

IEEE Symposium on Security and Privacy, 1986
A model of a real-time intrusion-detection expert system capable of detecting break-ins, penetrations, and other forms of computer abuse is described. The model is based on the hypothesis that security violations can be detected by monitoring a system's ...
D. Denning
semanticscholar   +1 more source

DeepFed: Federated Deep Learning for Intrusion Detection in Industrial Cyber–Physical Systems

IEEE Transactions on Industrial Informatics, 2020
The rapid convergence of legacy industrial infrastructures with intelligent networking and computing technologies (e.g., 5G, software-defined networking, and artificial intelligence), have dramatically increased the attack surface of industrial cyber ...
Beibei Li, Yuhao Wu, Jiarui Song, Rongxing Lu, Tao Li, Liang Zhao   +5 more
semanticscholar   +1 more source

ToN_IoT: The Role of Heterogeneity and the Need for Standardization of Features and Attack Types in IoT Network Intrusion Data Sets

IEEE Internet of Things Journal, 2021
The Internet of Things (IoT) is reshaping our connected world as the number of lightweight devices connected to the Internet is rapidly growing. Therefore, high-quality research on intrusion detection in the IoT domain is essential.
Tim M. Booij, I. Chiscop, Erik Meeuwissen, Nour Moustafa, F. D. Hartog   +4 more
semanticscholar   +1 more source

CANintelliIDS: Detecting In-Vehicle Intrusion Attacks on a Controller Area Network Using CNN and Attention-Based GRU

IEEE Transactions on Network Science and Engineering, 2021
Controller area network (CAN) is a communication protocol that provides reliable and productive transmission between in-vehicle nodes continuously.
Aziz Ur Rehman, S. Rehman, M. Khan, M. Alazab, G. ThippaReddy   +4 more
semanticscholar   +1 more source

Blockchain and Federated Learning for Collaborative Intrusion Detection in Vehicular Edge Computing

IEEE Transactions on Vehicular Technology, 2021
The vehicular networks constructed by interconnected vehicles and transportation infrastructure are vulnerable to cyber-intrusions due to the expanded use of software and the introduction of wireless interfaces.
Hong Liu, Shuaipeng Zhang, Pengfei Zhang, Xinqiang Zhou, Xuebin Shao, G. Pu, Yan Zhang   +6 more
semanticscholar   +1 more source

Network Intrusion Detection for IoT Security Based on Learning Techniques

IEEE Communications Surveys and Tutorials, 2019
Pervasive growth of Internet of Things (IoT) is visible across the globe. The 2016 Dyn cyberattack exposed the critical fault-lines among smart networks. Security of IoT has become a critical concern.
Nadia Chaabouni, M. Mosbah, A. Zemmari, Cyrille Sauvignac, Parvez Faruki   +4 more
semanticscholar   +1 more source

Cyber Security Intrusion Detection for Agriculture 4.0: Machine Learning-Based Solutions, Datasets, and Future Directions

IEEE/CAA Journal of Automatica Sinica, 2022
In this paper, we review and analyze intrusion detection systems for Agriculture 4.0 cyber security. Specifically, we present cyber security threats and evaluation metrics used in the performance evaluation of an intrusion detection system for ...
M. Ferrag, L. Shu, Othmane Friha, Xing Yang   +3 more
semanticscholar   +1 more source

A Detailed Investigation and Analysis of Using Machine Learning Techniques for Intrusion Detection

IEEE Communications Surveys and Tutorials, 2019
Intrusion detection is one of the important security problems in todays cyber world. A significant number of techniques have been developed which are based on machine learning approaches.
Preeti Mishra, V. Varadharajan, U. Tupakula, Emmanuel S. PIlli   +3 more
semanticscholar   +1 more source

A Two-Layer Dimension Reduction and Two-Tier Classification Model for Anomaly-Based Intrusion Detection in IoT Backbone Networks

IEEE Transactions on Emerging Topics in Computing, 2019
With increasing reliance on Internet of Things (IoT) devices and services, the capability to detect intrusions and malicious activities within IoT networks is critical for resilience of the network infrastructure.
Hamed Haddad Pajouh, R. Javidan, R. Khayami, A. Dehghantanha, Kim-Kwang Raymond Choo   +4 more
semanticscholar   +1 more source

A Survey of Intrusion Detection for In-Vehicle Networks

IEEE transactions on intelligent transportation systems (Print), 2020
The development of the complexity and connectivity of modern automobiles has caused a massive rise in the security risks of in-vehicle networks (IVNs).
Wufei Wu, Renfa Li, Guoqi Xie, Ji-yao An, Yang Bai, Jia Zhou, Keqin Li   +6 more
semanticscholar   +1 more source