[PDF][PDF] Hybrid Cyber-Security Model for Attacks Detection Based on Deep and Machine Learning.

SM Naser, YH Ali, DAJ Obe - International Journal of Online & …, 2022 - researchgate.net
Nowadays, numerous attacks can be considered high risks in terms of the security of
Wireless Sensor Network (WSN). As a result, different applications are introduced to …

An ensemble deep learning-based cyber attack detection system using optimization strategy

V Rasikha, P Marikkannu - Knowledge-Based Systems, 2024 - Elsevier
Background of the study Cyber attack stories become a routine in which new levels of
intention are shown by the cyber attacker through sophisticated attacks on networks. The …

Deep learning model for cybersecurity attack detection in cyber-physical systems

M Abdullahi, H Alhussian, N Aziz… - 2022 6th …, 2022 - ieeexplore.ieee.org
In recent years, there has been an increasing demand for computing devices in cyber-
physical systems (CPS), which include smart manufacturing, air intelligent transportation …

Efficient Deep Learning-Based Cyber-Attack Detection for Internet of Medical Things Devices

A Judith, GJW Kathrine, S Silas - Engineering Proceedings, 2023 - mdpi.com
The usage of IoT in the medical field, often referred to as IoMT, plays a vital role in facilitating
the exchange of sensitive data among medical devices. This capability significantly …

Cyber-attack detection in cyber-physical systems using supervised machine learning

P Semwal, A Handa - Handbook of Big Data Analytics and Forensics, 2022 - Springer
Abstract Cyber-Physical Systems (CPS) are where the physical processes are controlled by
computation and other technology components. Although, the collaboration of the computer …

Deep learning model for cyber-attacks detection method in wireless sensor networks

SM Naser, YH Ali, DAJ OBE - Periodicals of Engineering and …, 2022 - pen.ius.edu.ba
Nowadays, electronic applications are being adopted instead of many traditional processes
in data and information management that use Internet technology as a transmission …

Enhanced cyber attack detection process for internet of health things (IoHT) devices using deep neural network

KP Vijayakumar, K Pradeep, A Balasundaram… - Processes, 2023 - mdpi.com
Internet of Health Things plays a vital role in day-to-day life by providing electronic
healthcare services and has the capacity to increase the quality of patient care. Internet of …

Hybrid Deep Learning Model for Cyber-Attack Detection

M Premkumar, R Lakshmi… - … and Control Systems …, 2023 - ieeexplore.ieee.org
Better detection and avoidance of intrusions solutions are in high demand because of the
worldwide upsurge in hacking on computer networks. New technologies like fog computing …

[PDF][PDF] Sensor based cyber attack detections in critical infrastructures using deep learning algorithms

M Yilmaz, FO Catak, E Gul - Computer Science, 2019 - bibliotekanauki.pl
The technology that has evolved with innovations in the digital world has also caused an
increase in many security problems. Day by day the methods and forms of the cyberattacks …

Optimized deep learning‐based intrusion detection for wireless sensor networks

G Vembu, D Ramasamy - International Journal of …, 2023 - Wiley Online Library
The technological innovations and wide use of Wireless Sensor Network (WSN) applications
need to handle diverse data. These huge data possess network security issues as intrusions …