Enhancing cyber security in WSN using optimized self-attention-based provisional variational auto-encoder generative adversarial network

B Meenakshi, D Karunkuzhali - Computer Standards & Interfaces, 2024 - Elsevier
Wireless sensor network (WSN) is a multi-hop and self-organizing wireless network consists
of fixed or moving sensors, this is one of the key components of the cyber physical system. It …

A GAN-based security strategy for WSN networks based on honeypot algorithm

W Ding - Physical Communication, 2024 - Elsevier
One of the essential elements of the cyber physical system is wireless sensor network
(WSN), which is a multi-hop, self-organizing wireless network made up of numerousfixed or …

An effective network intrusion detection and classification system for securing WSN using VGG-19 and hybrid deep neural network techniques

P Manjula, SB Priya - Journal of Intelligent & Fuzzy Systems, 2022 - content.iospress.com
In today's world, a Network Intrusion Detection System (NIDS) plays a vital role in order to
secure the Wireless Sensor Network (WSN). However, the traditional NIDS model faced …

Cloud intrusion detection framework using variational auto encoder Wasserstein generative adversarial network optimized with archerfish hunting optimization …

G Senthilkumar, K Tamilarasi, JK Periasamy - Wireless Networks, 2023 - Springer
The cloud computing environment has been severely harmed by security issues, which has
a negative impact on the healthy and sustainable development of the cloud. Intrusion …

Grey wolf based feature reduction for intrusion detection in WSN using LSTM

S Karthic, S Manoj Kumar… - International Journal of …, 2022 - Springer
In the recent days all the digital devices including devices used in Healthcare, Personal
Digital Assistance etc. are connected to the network, consequently data is exposed to …

A highly accurate deep learning based approach for developing wireless sensor network middleware

RA Alshinina, KM Elleithy - IEEE Access, 2018 - ieeexplore.ieee.org
Despite the popularity of wireless sensor networks (WSNs) in a wide range of applications,
security problems associated with them have not been completely resolved. Middleware is …

IRADA: integrated reinforcement learning and deep learning algorithm for attack detection in wireless sensor networks

V Shakya, J Choudhary, DP Singh - Multimedia Tools and Applications, 2024 - Springer
Abstract Wireless Sensor Networks (WSNs) play a vital role in various applications,
necessitating robust network security to protect sensitive data. Intrusion Detection Systems …

An authentication approach in SDN-VANET architecture with Rider-Sea Lion optimized neural network for intrusion detection

M kumar Pulligilla, C Vanmathi - Internet of Things, 2023 - Elsevier
Abstract Vehicular Ad-hoc Network (VANET) offers expedient services in intellectual
transportation models but is susceptible to several attacks. The Intrusion detection systems …

Self-Attention conditional generative adversarial network optimised with crayfish optimization algorithm for improving cyber security in cloud computing

G Sugitha, PB Chaluvaraj - Computers & Security, 2024 - Elsevier
The decentralized and distributed architecture of cloud computing promotes adoption and
growth in various societal domains, including education, government, information …

WCGAN-GP based synthetic attack data generation with GA based feature selection for IDS

A Srivastava, D Sinha, V Kumar - Computers & Security, 2023 - Elsevier
Cyber-attack is one of the alarming issues in today's era. Firewalls, Intrusion Detection
Systems (IDSs), and other techniques are popularly applied to prevent those attacks …