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 …

[HTML][HTML] Secure and privacy-preserving intrusion detection in wireless sensor networks: Federated learning with SCNN-Bi-LSTM for enhanced reliability

SMS Bukhari, MH Zafar, M Abou Houran, SKR Moosavi… - Ad Hoc Networks, 2024 - Elsevier
As the digital landscape expands rapidly due to technological advancements, cybersecurity
concerns have become more prevalent. Intrusion Detection Systems (IDSs), which are …

Securing wireless sensor networks using machine learning and blockchain: A review

S Ismail, DW Dawoud, H Reza - Future Internet, 2023 - mdpi.com
As an Internet of Things (IoT) technological key enabler, Wireless Sensor Networks (WSNs)
are prone to different kinds of cyberattacks. WSNs have unique characteristics, and have …

Sagacious intrusion detection strategy in sensor network

S Ashraf, T Ahmed - 2020 International Conference on UK …, 2020 - ieeexplore.ieee.org
Almost all smart appliances are operated through wireless sensor networks. With the
passage of time, due to various applications, the WSN becomes prone to various external …

[PDF][PDF] Cnn-lstm based approach for dos attacks detection in wireless sensor networks

S Salmi, L Oughdir - … Journal of Advanced Computer Science and …, 2022 - researchgate.net
A denial-of-service (DoS) attack is a coordinated attack by many endpoints, such as
computers or networks. These attacks are often performed by a botnet, a network of …

An intrusion detection system for wireless sensor networks using deep neural network

V Gowdhaman, R Dhanapal - Soft Computing, 2022 - Springer
Wireless sensor network comprises of a large number of sensor nodes to acquire and
transmit data to the central location. However, due to resource constrained nodes …

Hybrid neural network framework for detection of cyber attacks at smart infrastructures

V Krundyshev, M Kalinin - … of the 12th International Conference on …, 2019 - dl.acm.org
Last decade, the speed of wireless data transmission has increased dozens of times, while
in the near future a widespread introduction of 5G/5G+ technology is expected which will …

Bipolar fully recurrent deep structured neural learning based attack detection for securing industrial sensor networks

JA Alzubi - Transactions on Emerging Telecommunications …, 2021 - Wiley Online Library
Attack detection is a significant problem to be resolved to attain security in industrial sensor
network. Few research works have been designed for performing attack discovery process …

Cybersecurity deep: approaches, attacks dataset, and comparative study

K Barik, S Misra, K Konar… - Applied Artificial …, 2022 - Taylor & Francis
Cyber attacks are increasing rapidly due to advanced digital technologies used by hackers.
In addition, cybercriminals are conducting cyber attacks, making cyber security a rapidly …

[HTML][HTML] DoS attack detection using online learning techniques in wireless sensor networks

TT Lai, TP Tran, J Cho, M Yoo - Alexandria Engineering Journal, 2023 - Elsevier
Wireless sensor network (WSN) models pose substantial security vulnerabilities since most
WSNs are deployed in unattended hostile environments. This research focuses on denial-of …