Machine learning for wireless sensor networks security: An overview of challenges and issues

R Ahmad, R Wazirali, T Abu-Ain - Sensors, 2022 - mdpi.com
Energy and security are major challenges in a wireless sensor network, and they work
oppositely. As security complexity increases, battery drain will increase. Due to the limited …

Internet of things (IoT) security dataset evolution: Challenges and future directions

B Kaur, S Dadkhah, F Shoeleh, ECP Neto, P Xiong… - Internet of Things, 2023 - Elsevier
The evolution of mobile technologies has introduced smarter and more connected objects
into our day-to-day lives. This trend, known as the Internet of Things (IoT), has applications …

Intrusion detection system using machine learning for vehicular ad hoc networks based on ToN-IoT dataset

AR Gad, AA Nashat, TM Barkat - IEEE Access, 2021 - ieeexplore.ieee.org
Vehicular ad hoc networks (VANETs) are a subsystem of the proposed intelligent
transportation system (ITS) that enables vehicles to communicate over the wireless …

A survey on mobility in wireless sensor networks

N Temene, C Sergiou, C Georgiou, V Vassiliou - Ad Hoc Networks, 2022 - Elsevier
Abstract As Wireless Sensor Networks (WSNs) and Internet of Things (IoTs) applications
evolve, the need for robust protocols, capable to guarantee extended lifetime and high …

A review of logistics internet-of-things: Current trends and scope for future research

H Golpîra, SAR Khan, S Safaeipour - Journal of Industrial Information …, 2021 - Elsevier
The emerging context of Logistics Internet-of-Things (L-IoT) has attracted tremendous
attention from practitioners and academics during the past decade. Evidence of this growing …

Network intrusion detection model based on CNN and GRU

B Cao, C Li, Y Song, Y Qin, C Chen - Applied Sciences, 2022 - mdpi.com
A network intrusion detection model that fuses a convolutional neural network and a gated
recurrent unit is proposed to address the problems associated with the low accuracy of …

FSCB-IDS: Feature selection and minority class balancing for attacks detection in VANETS

S Amaouche, A Guezzaz, S Benkirane, M Azrour… - Applied sciences, 2023 - mdpi.com
Vehicular ad hoc networks (VANETs) are used for vehicle to vehicle (V2V) and vehicle to
infrastructure (V2I) communications. They are a special type of mobile ad hoc networks …

[PDF][PDF] 网络入侵检测技术综述

蹇诗婕, 卢志刚, 杜丹, 姜波, 刘宝旭 - 信息安全学报, 2020 - jcs.iie.ac.cn
摘要随着互联网时代的发展, 内部威胁, 零日漏洞和DoS 攻击等攻击行为日益增加,
网络安全变得越来越重要, 入侵检测已成为网络攻击检测的一种重要手段. 随着机器学习算法的 …

Feature-selection and mutual-clustering approaches to improve DoS detection and maintain WSNs' lifetime

R Ahmad, R Wazirali, Q Bsoul, T Abu-Ain, W Abu-Ain - Sensors, 2021 - mdpi.com
Wireless Sensor Networks (WSNs) continue to face two major challenges: energy and
security. As a consequence, one of the WSN-related security tasks is to protect them from …

Machine learning benchmarking for secured iot smart systems

MS Abdalzaher, MM Salim, HA Elsayed… - … on Internet of Things …, 2022 - ieeexplore.ieee.org
Smartness and IoT along with machine learning (ML) lead the research directions
nowadays. Smart city, smart campus, smart home, smart vehicle, etc; or if we call it “Smart x” …