Ddos attack detection in wsn using modified bgru with mfo model

S Venkatasubramanian… - Advanced Applications of …, 2024 - igi-global.com
Significant challenges in the areas of energy and security persist for wireless sensor
networks (WSNs). Avoiding denial-of-service assaults is a priority for safeguarding WSN …

[HTML][HTML] Maximizing energy efficiency in wireless sensor networks for data transmission: A Deep Learning-Based Grouping Model approach

I Surenther, KP Sridhar, MK Roberts - Alexandria Engineering Journal, 2023 - Elsevier
Abstract Wireless Sensor Networks (WSNs) are widely studied for their data collection and
monitoring capabilities across diverse applications. However, the limited energy resources …

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 …

FishRNFuseNET: development of heuristic-derived recurrent neural network with feature fusion strategy for fish species classification

M Bhanumathi, B Arthi - Knowledge and Information Systems, 2024 - Springer
The classification of fish species has become an essential task for marine ecologists and
biologists for the estimation of large quantities of fish variants in their own environment and …

[HTML][HTML] Hybrid stacked autoencoder with dwarf mongoose optimization for Phishing attack detection in internet of things environment

J Aljabri, N Alzaben, N NEMRI, S Alahmari… - Alexandria Engineering …, 2024 - Elsevier
With the fast development of the Internet of Things (IoTs), phishing attacks are transferring to
this domain because of the number of IoT devices and private data they can handle. IoT …

Optimized graph transformer with molecule attention network based multi class attack detection framework for enhancing privacy and security in WSN

M Anoop, LW Mary, AJ Wilson, WS Kiran - Multimedia Tools and …, 2024 - Springer
In today's rapidly evolving network landscape, cybersecurity has become increasingly
crucial. However, wireless sensor networks face unique challenges due to their limited …

NHAPMAD: Novel hybrid approaches for privacy‐preserved multiple attacks detection

AD Seth, S Sharma, A Ratmele - … and Computation: Practice …, 2024 - Wiley Online Library
Detecting anomalies is crucial for maintaining security in Wireless Sensor Networks (WSNs),
as they are susceptible to various attacks that compromise nodes and yield inaccurate …

Original Research Article Mitigation of network security attacks in wireless multimedia sensors networks using intrusion detection system

MA Matheen, S Sundar - Journal of Autonomous Intelligence, 2024 - jai.front-sci.com
In this work, research propose a deep transfer learning-based Lecun network P-Lenet
technique to move the knowledge contained in source domain data to the target domain and …

Detecting selective forwarding attacks in WSN based on deep belief network

S Zhang, H Wang, X Zhang… - … Conference on Cloud …, 2023 - spiedigitallibrary.org
Wireless Sensor Networks (WSNs) communicate by broadcasting, and are usually deployed
in unattended locations, making them vulnerable to attacks. Selective Forwarding (SF) attack …

[PDF][PDF] HYBRID OPTIMIZATION INTEGRATED INTRUSION DETECTION SYSTEM IN WSN USING ELMAN NETWORK

BM Kumar, J Ragaventhiran, V Neela - academia.edu
Wireless Sensor Networks (WSNs) increases the usage of integrated systems and areas
which attracts the attention of attackers. However, WSNs are vulnerable to different kinds of …