A Comprehensive Survey on Machine Learning‐Based Intrusion Detection Systems for Secure Communication in Internet of Things
SVN Santhosh Kumar, M Selvi… - Computational …, 2023 - Wiley Online Library
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 Critical Review of Artificial Intelligence Based Approaches in Intrusion Detection: A Comprehensive Analysis
Intrusion detection (ID) is critical in securing computer networks against various malicious
attacks. Recent advancements in machine learning (ML), deep learning (DL), federated …
attacks. Recent advancements in machine learning (ML), deep learning (DL), federated …
[HTML][HTML] Natural-anthropogenic environment interactively causes the surface urban heat island intensity variations in global climate zones
The inconstant climate change and rapid urbanization substantially disturb the global
thermal balance and induce severe urban heat island (UHI) effect, adversely impacting …
thermal balance and induce severe urban heat island (UHI) effect, adversely impacting …
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 …
[HTML][HTML] Malicious traffic detection in multi-environment networks using novel S-DATE and PSO-D-SEM approaches
The rapid advancement of network architectures, protocols, and tools poses significant
challenges to network security, especially due to the use of AI-based tools by cybercriminals …
challenges to network security, especially due to the use of AI-based tools by cybercriminals …
Survey on Unified Threat Management (UTM) Systems for Home Networks
Home networks increasingly support important networked applications with limited
professional network administration support, while sophisticated attacks pose enormous …
professional network administration support, while sophisticated attacks pose enormous …
A Survey of Deep Learning Technologies for Intrusion Detection in Internet of Things
The Internet of Things (IoT) is transforming how we live and work, and its applications are
widespread, spanning smart homes, industrial monitoring, smart cities, healthcare …
widespread, spanning smart homes, industrial monitoring, smart cities, healthcare …
Network intrusion detection and mitigation in SDN using deep learning models
M Maddu, YN Rao - International Journal of Information Security, 2024 - Springer
Abstract Software-Defined Networking (SDN) is a contemporary network strategy utilized
instead of a traditional network structure. It provides significantly more administrative …
instead of a traditional network structure. It provides significantly more administrative …
A critical review on intrusion detection systems in IoT based on ML approach: A Survey
Internet of Things (IoT) is extensively applied in a number of domains such as environmental
monitoring, industrial processes, home automation, healthcare etc. due to numerous …
monitoring, industrial processes, home automation, healthcare etc. due to numerous …
Securing multi-environment networks using versatile synthetic data augmentation technique and machine learning algorithms
The emergence of new network architectures, protocols, and tools has made it easier for
cybercriminals to launch attacks using AI-based tools, presenting challenges in network …
cybercriminals to launch attacks using AI-based tools, presenting challenges in network …