An intrusion detection model using improved convolutional deep belief networks for wireless sensor networks

W Wen, C Shang, Z Dong, HC Keh… - International Journal of …, 2021 - inderscienceonline.com
Intrusion detection is a critical issue in the wireless sensor networks (WSNs), specifically for
security applications. In literature, many classification algorithms have been applied to …

A secure barrier coverage scheduling framework for WSN-based IoT applications

D Thomas, R Shankaran - Proceedings of the 23rd International ACM …, 2020 - dl.acm.org
Wireless sensor networks (WSNs) are network enabling technology for a variety of mission-
critical IoT applications. The essential Quality of Service (QoS) requirements of these …

SDNIPS: Enabling software-defined networking based intrusion prevention system in clouds

T Xing, Z Xiong, D Huang… - … international conference on …, 2014 - ieeexplore.ieee.org
Security has been considered as one of the top concerns in clouds. Intrusion Detection and
Prevention Systems (IDPS) have been widely deployed to enhance the cloud security. Using …

A novel clustering approach and adaptive SVM classifier for intrusion detection in WSN: A data mining concept

GM Borkar, LH Patil, D Dalgade, A Hutke - … Computing: Informatics and …, 2019 - Elsevier
Abstract Nowadays Wireless Sensor Network (WSN) mainly faces security issue during
packet transmission between different sensor nodes in network combined with data mining …

Gd3n: Adaptive clustering-based detection of selective forwarding attacks in wsns under variable harsh environments

H Wang, X Huang, Y Wu - Information Sciences, 2024 - Elsevier
Wireless sensor networks (WSNs) are susceptible to numerous security threats due to their
reliance on open environments and broadcast communication methods. Among these, the …

Vulnerability management in IIoT-based systems: What, why and how

G Yadav, K Paul, P Gauravaram - Secure and Trusted Cyber Physical …, 2022 - Springer
Abstract Industrial Control Systems (ICS) are characterized by large numbers of tightly
integrated, interdependent, and heterogeneous components in a network. They act as a …

Improved binary gray wolf optimizer and SVM for intrusion detection system in wireless sensor networks

M Safaldin, M Otair, L Abualigah - Journal of ambient intelligence and …, 2021 - Springer
Intrusion in wireless sensor networks (WSNs) aims to degrade or even eliminating the
capability of these networks to provide its functions. In this paper, an enhanced intrusion …

[HTML][HTML] Artificial intelligence-driven intrusion detection in software-defined wireless sensor networks: Towards secure IoT-enabled healthcare systems

S Masengo Wa Umba, AM Abu-Mahfouz… - International Journal of …, 2022 - mdpi.com
Wireless Sensor Networks (WSNs) are increasingly deployed in Internet of Things (IoT)
systems for applications such as smart transportation, telemedicine, smart health monitoring …

An overview of intrusion detection and prevention systems

K Coulibaly - arXiv preprint arXiv:2004.08967, 2020 - arxiv.org
Cyber threats are increasing not only in their volume but also in their sophistication and
difficulty to detect. Attacks have become a national/global threat as they have targeted …

Emerging network communication for malicious node detection in wireless multimedia sensor networks

SA Jayadhas, SE Roslin, W Florin - Optical and Quantum Electronics, 2024 - Springer
Wireless sensor networks (WMSNs) are becoming increasingly popular in many fields, from
academia to transportation, environmental monitoring, wildlife preservation, and military …