Safety, security and privacy in machine learning based internet of things

G Abbas, A Mehmood, M Carsten… - Journal of Sensor and …, 2022 - mdpi.com
Recent developments in communication and information technologies, especially in the
internet of things (IoT), have greatly changed and improved the human lifestyle. Due to the …

Supervised machine learning classification algorithmic approach for finding anomaly type of intrusion detection in wireless sensor network

AB Abhale, SS Manivannan - Optical Memory and Neural Networks, 2020 - Springer
From the last decade, the use of internet and its growth is continuously increasing. Similarly,
numbers of services are coming out along with the internet and it is being used for providing …

A lightweight intelligent intrusion detection model for wireless sensor networks

JS Pan, F Fan, SC Chu, HQ Zhao… - Security and …, 2021 - Wiley Online Library
The wide application of wireless sensor networks (WSN) brings challenges to the
maintenance of their security, integrity, and confidentiality. As an important active defense …

UIDS: a unified intrusion detection system for IoT environment

V Kumar, AK Das, D Sinha - Evolutionary intelligence, 2021 - Springer
Intrusion detection system (IDS) using machine learning approach is getting popularity as it
has an advantage of getting updated by itself to defend against any new type of attack …

Network intrusion detection based on PSO-XGBoost model

H Jiang, Z He, G Ye, H Zhang - IEEE Access, 2020 - ieeexplore.ieee.org
Network intrusion detection system (NIDS) is a commonly used tool to detect attacks and
protect networks, while one of its general limitations is the false positive issue. On the basis …

Protocol-specific and sensor network-inherited attack detection in IoT using machine learning

F Zahra, NZ Jhanjhi, NA Khan, SN Brohi, M Masud… - Applied Sciences, 2022 - mdpi.com
For networks with limited resources, such as IoT-enabled smart homes, smart industrial
equipment, and urban infrastructures, the Routing Protocol for Low-power and Lossy …

An efficient XGBoost–DNN-based classification model for network intrusion detection system

P Devan, N Khare - Neural Computing and Applications, 2020 - Springer
There is a steep rise in the trend of the utility of Internet technology day by day. This
tremendous increase ushers in a massive amount of data generated and handled. For …

Performance evaluation of deep learning techniques for DoS attacks detection in wireless sensor network

S Salmi, L Oughdir - Journal of Big Data, 2023 - Springer
Wireless sensor networks (WSNs) are increasingly being used for data monitoring and
collection purposes. Typically, they consist of a large number of sensor nodes that are used …

Network Intrusion Detection System Based on the Combination of Multiobjective Particle Swarm Algorithm‐Based Feature Selection and Fast‐Learning Network

S Einy, C Oz, YD Navaei - Wireless Communications and …, 2021 - Wiley Online Library
Given the growth of wireless networks and the increase of the advantages and applications
of communication networks, especially mobile ad hoc networks (MANETs), this type of …

[PDF][PDF] Enhanced intrusion detection system using feature selection method and ensemble learning algorithms

M Abdullah, A Alshannaq, A Balamash… - International Journal of …, 2018 - academia.edu
The main goal of Intrusion Detection Systems (IDSs) is to detect intrusions. This kind of
detection system represents a significant tool in traditional computer based systems for …