Robotics cyber security: Vulnerabilities, attacks, countermeasures, and recommendations

JPA Yaacoub, HN Noura, O Salman… - International Journal of …, 2022 - Springer
The recent digital revolution led robots to become integrated more than ever into different
domains such as agricultural, medical, industrial, military, police (law enforcement), and …

A systematic literature review for network intrusion detection system (IDS)

OH Abdulganiyu, T Ait Tchakoucht… - International journal of …, 2023 - Springer
With the recent increase in internet usage, the number of important, sensitive, confidential
individual and corporate data passing through internet has increasingly grown. With gaps in …

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 …

Imbalanced data classification: A KNN and generative adversarial networks-based hybrid approach for intrusion detection

H Ding, L Chen, L Dong, Z Fu, X Cui - Future Generation Computer Systems, 2022 - Elsevier
With the continuous emergence of various network attacks, it is becoming more and more
important to ensure the security of the network. Intrusion detection, as one of the important …

River water quality index prediction and uncertainty analysis: A comparative study of machine learning models

SBHS Asadollah, A Sharafati, D Motta… - Journal of environmental …, 2021 - Elsevier
Abstract The Water Quality Index (WQI) is the most common indicator to characterize surface
water quality. This study introduces a new ensemble machine learning model called Extra …

[HTML][HTML] Ensemble learning methods using the Hodrick–Prescott filter for fault forecasting in insulators of the electrical power grids

LO Seman, SF Stefenon, VC Mariani… - International Journal of …, 2023 - Elsevier
Electrical power grid insulators installed outdoors are exposed to environmental conditions,
such as the accumulation of contaminants on their surface. The contaminants increase the …

[HTML][HTML] A metaheuristic-based ensemble feature selection framework for cyber threat detection in IoT-enabled networks

AK Dey, GP Gupta, SP Sahu - Decision Analytics Journal, 2023 - Elsevier
Abstract Internet of Things (IoT) enabled networks are highly vulnerable to cyber threats due
to insecure wireless communication, resource constraint architecture, different types of IoT …

Botnet attack detection using local global best bat algorithm for industrial internet of things

A Alharbi, W Alosaimi, H Alyami, HT Rauf… - Electronics, 2021 - mdpi.com
The need for timely identification of Distributed Denial-of-Service (DDoS) attacks in the
Internet of Things (IoT) has become critical in minimizing security risks as the number of IoT …

Water quality prediction using machine learning models based on grid search method

MY Shams, AM Elshewey, ESM El-Kenawy… - Multimedia Tools and …, 2024 - Springer
Water quality is very dominant for humans, animals, plants, industries, and the environment.
In the last decades, the quality of water has been impacted by contamination and pollution …

An enhanced deep learning neural network for the detection and identification of android malware

P Musikawan, Y Kongsorot, I You… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Android-based mobile devices have attracted a large number of users because they are
easy to use and possess a wide range of capabilities. Because of its popularity, Android has …