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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
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 +4 more sources
Intrusion detection system episteme
Open Computer Science, 2012 Abstract In our paper we investigate the possibilities of modal logics in coalgebras of program systems. We deal with a simplified model of an intrusion detection system. We model an intrusion detection system as a coalgebra and construct its Kripke model of coalgebraic modal linear logic using powerset endofunctor.
Mihályi Daniel +2 more
doaj +3 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
Intrusion Detection System [PDF]
International Journal of Scientific Research in Science, Engineering and Technology, 2020 Intrusion Detection System (IDS) is well-defined as a Device or software application which monitors the system activities and finds if there is any malevolent activity that has occured. Unresolved growth and traditional use of internet raises anxieties about how to connect and protect the digital information securely.
Sangram Nevse +4 more
openaire +2 more sources
Towards a Standard Feature Set for Network Intrusion Detection System Datasets [PDF]
Journal on spesial topics in mobile networks and applications, 2021 Network Intrusion Detection Systems (NIDSs) are important tools for the protection of computer networks against increasingly frequent and sophisticated cyber attacks.
Mohanad Sarhan +2 more
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
Deep Learning Approach for SDN-Enabled Intrusion Detection System in IoT Networks
Inf., 2023 Owing to the prevalence of the Internet of things (IoT) devices connected to the Internet, the number of IoT-based attacks has been growing yearly. The existing solutions may not effectively mitigate IoT attacks. In particular, the advanced network-based
Rajasekhar Chaganti +3 more
semanticscholar +1 more source
Towards an effective deep learning-based intrusion detection system in the internet of things
Telematics and Informatics Reports, 2022 Distributed Sensor Networks play a vital role in the day-to-day world of computing applications, from the cloud to the Internet of Things (IoT). These computing applications devices are normally attached with the microcontrollers like Sensors, actuators,
Pampapathi B M +2 more
doaj +1 more source