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A comprehensive survey on machine learning‐based intrusion detection systems for secure communication in internet of things
The Internet of Things (IoT) is a distributed system which is made up of the connections of
smart objects (things) that can continuously sense the events in their sensing domain and …
smart objects (things) that can continuously sense the events in their sensing domain and …
A comprehensive survey and taxonomy of the SVM-based intrusion detection systems
The increasing number of security attacks have inspired researchers to employ various
classifiers, such as support vector machines (SVMs), to deal with them in Intrusion detection …
classifiers, such as support vector machines (SVMs), to deal with them in Intrusion detection …
A deep learning approach for effective intrusion detection in wireless networks using CNN
Security is playing a major role in this Internet world due to the rapid growth of Internet users.
The various intrusion detection systems were developed by many researchers in the past to …
The various intrusion detection systems were developed by many researchers in the past to …
Multi-objective PSO based feature selection for intrusion detection in IoT based wireless sensor networks
S Subramani, M Selvi - Optik, 2023 - Elsevier
Abstract Internet of Things (IoT) utilization is increasing every day in both industry and other
applications recently. However, the IoT communication is under security threats from …
applications recently. However, the IoT communication is under security threats from …
Review on anomaly based network intrusion detection system
In computer system and network, Intrusion detection is an important research area. A lot of
mechanisms are available for detect the network intrusion, but that is not able to identify the …
mechanisms are available for detect the network intrusion, but that is not able to identify the …
Improving security using SVM-based anomaly detection: issues and challenges
Security is one of the main requirements of the current computer systems, and recently it
gains much importance as the number and severity of malicious attacks increase …
gains much importance as the number and severity of malicious attacks increase …
Intelligent feature selection and classification techniques for intrusion detection in networks: a survey
Rapid growth in the Internet usage and diverse military applications have led researchers to
think of intelligent systems that can assist the users and applications in getting the services …
think of intelligent systems that can assist the users and applications in getting the services …
Representation learning-based network intrusion detection system by capturing explicit and implicit feature interactions
Network intrusion detection system is an important cyber defence tool to protect a system
from illegal attacks. Building an effective network intrusion detection system that makes good …
from illegal attacks. Building an effective network intrusion detection system that makes good …
Unknown attack detection based on zero-shot learning
Z Zhang, Q Liu, S Qiu, S Zhou, C Zhang - IEEE Access, 2020 - ieeexplore.ieee.org
In recent years, due to the frequent occurrence of network intrusions, more and more
researchers have begun to focus on network intrusion detection. However, it is still a …
researchers have begun to focus on network intrusion detection. However, it is still a …
Fuzzy based intrusion detection systems in MANET
Mobile adhoc network (MANET) is an infrastructure less wireless network and self-
organized. During communication mobile adhoc network do not use any proper …
organized. During communication mobile adhoc network do not use any proper …