Detection of Denial-of-Service Attack Using Weight based Trust Aware Routing Approach.

Hybrid grey piprecia and grey ocra method-based dynamic multi-criteria decision-making model for mitigating non-cooperating node attacks in wsns

S Madhavi, R Praveen, N Jagadish Kumar… - Peer-to-Peer Networking …, 2023 - Springer
Cooperation among sensor nodes is always essential for achieving reliable data
dissemination in Wireless Sensor Network (WSNs). The sensor nodes can cat as a host or a …
被引用次数：13 相关文章
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Detection of Denial-of-Service Attack in Wireless Sensor Networks: A lightweight Machine Learning Approach

MA Elsadig - IEEE Access, 2023 - ieeexplore.ieee.org
The characteristics and performance of wireless sensor networks (WSNs) are the main
reasons for their rapid expansion in various fields. However, these networks are extremely …
被引用次数：7 相关文章 所有 3 个版本

The Performance Analysis of Distributed Denial of Service Attacks in Wireless Networks

T Agrawal, R Raghavendra, KR Singh… - 2023 2nd …, 2023 - ieeexplore.ieee.org
Complete studies paper that examines the outcomes that malicious 0.33-celebration actors
will have on Wi-Fi networks via dispensed denial of carrier (DDoS) attacks. This paper …
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A Novel Optimization Strategies for Detecting and Preventing Distributed Denial of Service Attacks in Wireless Networks

S Kumar, JRR Kumar, D Mondal… - … on Smart Generation …, 2023 - ieeexplore.ieee.org
allotted Denial of carrier (DDoS) assaults have end up a prime difficulty in trendy wireless
networks. these assaults aim to disrupt the regular operation of networks by means of …
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Detection of DDoS Attack using Machine Learning

SV Prathiksha - 2023 Global Conference on Information …, 2023 - ieeexplore.ieee.org
In particular, Distributed Denial of Service (DDoS) attacks have become more sophisticated
due to the internet's rapid growth. It is essential for dependable internet services to identify …
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