Performance analysis of machine learning algorithms in detecting and mitigating black and gray hole attacks

M Kurtkoti, BS Premananda… - … : Proceedings of ICIDCA …, 2022 - Springer
Black hole attacks and gray hole attacks are major denial of service (DoS) attacks in
wireless sensor networks (WSNs). Intrusion detection systems are proposed to detect such …

WSN‐DS: a dataset for intrusion detection systems in wireless sensor networks

I Almomani, B Al-Kasasbeh, M Al-Akhras - Journal of Sensors, 2016 - Wiley Online Library
Wireless Sensor Networks (WSN) have become increasingly one of the hottest research
areas in computer science due to their wide range of applications including critical military …

Detection and prevention of black-hole and wormhole attacks in wireless sensor network using optimized LSTM

MV Pawar - International Journal of Pervasive Computing and …, 2023 - emerald.com
Purpose This study aims to present a novel system for detection and prevention of black
hole and wormhole attacks in wireless sensor network (WSN) based on deep learning …

Attack Detection in Wireless Sensor Networks using Novel Artificial Intelligence Algorithm

A Aneja - 2023 7th International Conference on I-SMAC (IoT in …, 2023 - ieeexplore.ieee.org
The Wireless Sensor Network (WSN) is a concept of an Internet of Things network (IoT) with
limited energy resources. When many sensors are used despite their limitations, security …

Blackhole attack prediction in wireless sensor networks using support vector machine

N Panda, M Supriya - Advances in Signal Processing, Embedded Systems …, 2023 - Springer
One of the most pressing concerns in the Internet of Things (IoT) is security. The majority of
IoT deployments rely on the creation of a wireless sensor network (WSN), which builds Low …

Performance evaluation of machine learning techniques for DOS detection in wireless sensor network

L Alsulaiman, S Al-Ahmadi - arXiv preprint arXiv:2104.01963, 2021 - arxiv.org
The nature of Wireless Sensor Networks (WSN) and the widespread of using WSN introduce
many security threats and attacks. An effective Intrusion Detection System (IDS) should be …

A comparative study of machine learning models for cyber-attacks detection in wireless sensor networks

S Ismail, TT Khoei, R Marsh… - 2021 IEEE 12th Annual …, 2021 - ieeexplore.ieee.org
Wireless Sensor Network is a key technology for Internet of Things, but it is an example of
energy-restricted networks. In such networks with a large number of deployed sensors with …

Adaptive Taylor-Sail fish optimization based deep learning for detection of black hole and sybil attack in wireless sensor network

M Kumar, J Ali - 2023 International Conference on Sustainable …, 2023 - ieeexplore.ieee.org
Wireless Sensor Network (WSN) is the network of minimal expensive and tiny devices for
sensing, which is known as sensors. These networks are vulnerable to various types of …

An effective classification for DoS attacks in wireless sensor networks

T Park, D Cho, H Kim - 2018 Tenth international conference …, 2018 - ieeexplore.ieee.org
Intrusion Detection Systems (IDSs) have an important role in detecting and preventing
security attacks. An IDS should be in Wireless Sensor Networks (WSN) to ensure the …

A comparative analysis of machine deep learning algorithms for intrusion detection in wsn

S Deshpande, J Gujarathi, P Chandre… - Security Issues and …, 2021 - Springer
The rapid growth of the Internet and information technologies and also the diminution of the
price of hardware components like wireless sensors leads to the fast growth in Wireless …