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HDLNIDS: Hybrid Deep-Learning-Based Network Intrusion Detection System
Applied Sciences, 2023 Attacks on networks are currently the most pressing issue confronting modern society. Network risks affect all networks, from small to large. An intrusion detection system must be present for detecting and mitigating hostile attacks inside networks ...
Emad Ul Haq Qazi +2 more
doaj +2 more sources
Intelligent multi-agent system for intrusion detection and countermeasures [PDF]
, 2000 Intelligent mobile agent systems offer a new approach to implementing intrusion detection systems (IDS). The prototype intrusion detection system, MAIDS, demonstrates the benefits of an agent-based IDS, including distributing the computational effort ...
Helmer, Guy Gary
core +4 more sources
Enhanced Network Intrusion Detection System [PDF]
Sensors, 2021 A reasonably good network intrusion detection system generally requires a high detection rate and a low false alarm rate in order to predict anomalies more accurately.
Ketan Kotecha +8 more
doaj +2 more sources
A hybrid intrusion detection system [PDF]
, 2004 Anomaly intrusion detection normally has high false alarm rates, and a high volume of false alarms will prevent system administrators identifying the real attacks.
Wang, Yanxin
core +4 more sources
Tree-based Intelligent Intrusion Detection System in Internet of Vehicles [PDF]
Global Communications Conference, 2019 The use of autonomous vehicles (AVs) is a promising technology in Intelligent Transportation Systems (ITSs) to improve safety and driving efficiency. Vehicle-to-everything (V2X) technology enables communication among vehicles and other infrastructures ...
Hamieh, Ismail +3 more
core +2 more sources
E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for IoT [PDF]
IEEE/IFIP Network Operations and Management Symposium, 2021 This paper presents a new Network Intrusion Detection System (NIDS) based on Graph Neural Networks (GNNs). GNNs are a relatively new sub-field of deep neural networks, which can leverage the inherent structure of graph-based data. Training and evaluation
Wai Weng Lo +4 more
semanticscholar +1 more source
MTH-IDS: A Multitiered Hybrid Intrusion Detection System for Internet of Vehicles [PDF]
IEEE Internet of Things Journal, 2021 Modern vehicles, including connected vehicles and autonomous vehicles, nowadays involve many electronic control units connected through intravehicle networks (IVNs) to implement various functionalities and perform actions.
Li Yang, Abdallah Moubayed, A. Shami
semanticscholar +1 more source
A Novel Deep Learning-Based Intrusion Detection System for IoT Networks
De Computis, 2023 The impressive growth rate of the Internet of Things (IoT) has drawn the attention of cybercriminals more than ever. The growing number of cyber-attacks on IoT devices and intermediate communication media backs the claim.
A. Awajan
semanticscholar +1 more source
CNN-LSTM: Hybrid Deep Neural Network for Network Intrusion Detection System
IEEE Access, 2022 Network security becomes indispensable to our daily interactions and networks. As attackers continue to develop new types of attacks and the size of networks continues to grow, the need for an effective intrusion detection system has become critical ...
A. Halbouni +5 more
semanticscholar +1 more source
RTIDS: A Robust Transformer-Based Approach for Intrusion Detection System
IEEE Access, 2022 Due to the rapid growth in network traffic and increasing security threats, Intrusion Detection Systems (IDS) have become increasingly critical in the field of cyber security for providing secure communications against cyber adversaries.
Zihan Wu +3 more
semanticscholar +1 more source