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Weighted Multiclass Intrusion Detection System [PDF]
ITM Web of Conferences, 2023 Attackers are continuously coming up with new attack strategies since cyber security is a field that is continually changing. As a result, it’s important to update and enhance the system frequently to ensure its efficiency against fresh threats ...
Dange Varsha +5 more
doaj +1 more source
Transactions on Emerging Telecommunications Technologies, 2020 The rapid advances in the internet and communication fields have resulted in a huge increase in the network size and the corresponding data. As a result, many novel attacks are being generated and have posed challenges for network security to accurately ...
Zeeshan Ahmad +4 more
semanticscholar +1 more source
Explainable Artificial Intelligence for Intrusion Detection System
Electronics, 2022 Intrusion detection systems are widely utilized in the cyber security field, to prevent and mitigate threats. Intrusion detection systems (IDS) help to keep threats and vulnerabilities out of computer networks.
S. Patil +8 more
semanticscholar +1 more source
Optimized Machine Learning-Based Intrusion Detection System for Fog and Edge Computing Environment
Electronics, 2022 As a new paradigm, fog computing (FC) has several characteristics that set it apart from the cloud computing (CC) environment. Fog nodes and edge computing (EC) hosts have limited resources, exposing them to cyberattacks while processing large streams ...
Omar A. Alzubi +5 more
semanticscholar +1 more source
Application of data mining technology in detecting network intrusion and security maintenance
Journal of Intelligent Systems, 2021 In order to correct the deficiencies of intrusion detection technology, the entire computer and network security system are needed to be more perfect.
Zhu Yongkuan +4 more
doaj +1 more source
Electronics, 2022 The growing number of security threats has prompted the use of a variety of security techniques. The most common security tools for identifying and tracking intruders across diverse network domains are intrusion detection systems.
Mohammed Amin Almaiah +9 more
semanticscholar +1 more source
A new intrusion detection and alarm correlation technology based on neural network
EURASIP Journal on Wireless Communications and Networking, 2019 With the continuous development of computer networks, the security of the network has become increasingly prominent. A major threat to network security is the intrusion of information systems through the network.
Yansong Liu, Li Zhu
doaj +1 more source
Deep Learning Approach for Intelligent Intrusion Detection System
IEEE Access, 2019 Machine learning techniques are being widely used to develop an intrusion detection system (IDS) for detecting and classifying cyberattacks at the network-level and the host-level in a timely and automatic manner.
R. Vinayakumar +5 more
semanticscholar +1 more source
Intrusion Detection System on IoT with 5G Network Using Deep Learning
Wireless Communications and Mobile Computing, 2022 The Internet of Things (IoT) cyberattacks of fully integrated servers, applications, and communications networks are increasing at exponential speed.
N. Yadav +3 more
semanticscholar +1 more source
Intrusion Detection System for Industrial Internet of Things Based on Deep Reinforcement Learning
Wireless Communications and Mobile Computing, 2022 The Industrial Internet of Things has grown significantly in recent years. While implementing industrial digitalization, automation, and intelligence introduced a slew of cyber risks, the complex and varied industrial Internet of Things environment ...
Sumegh Tharewal +5 more
semanticscholar +1 more source