Enhancing Industrial Wireless Communication Security Using Deep Learning Architecture-Based Channel Frequency Response

Enhancing Industrial Wireless Communication Security Using Deep Learning Architecture-Based Channel Frequency Response

Wireless communication plays a crucial role in the automation process in the industrial environment. However, the open nature of wireless communication renders industrial wireless sensor networks susceptible to malicious attacks that impersonate authorized nodes. The heterogeneity of the wireless tr...

Full description

Bibliographic Details
Main Authors:	Lamia Alhoraibi, Daniyal Alghazzawi, Reemah Alhebshi, Liqaa F. Nawaf, Fiona Carroll
Format:	Article
Language:	English
Published:	Hindawi-IET 2024-01-01
Series:	IET Signal Processing
Online Access:	http://dx.doi.org/10.1049/2024/8884688

Similar Items

Generative Adversarial Network-Based Data Augmentation for Enhancing Wireless Physical Layer Authentication
by: Lamia Alhoraibi, et al.
Published: (2024-01-01)

Detection of GPS Spoofing Attacks in UAVs Based on Adversarial Machine Learning Model
by: Lamia Alhoraibi, et al.
Published: (2024-09-01)

Physical Layer Authentication in Wireless Networks-Based Machine Learning Approaches
by: Lamia Alhoraibi, et al.
Published: (2023-02-01)

Enhancing Cyber Security Governance and Policy for SMEs in Industry 5.0: A Comparative Study between Saudi Arabia and the United Kingdom
by: Nisha Rawindaran, et al.
Published: (2023-08-01)

Deep Learning Architecture for Detecting SQL Injection Attacks Based on RNN Autoencoder Model
by: Maha Alghawazi, et al.
Published: (2023-07-01)

Integrating artificial intelligence for improved security of IoT-drones through cyber-physical attack detection
by: Abeer Hakeem, et al.
Published: (2025-02-01)

Optimization of cyber security through the implementation of AI technologies
by: Nawaf Liqaa, et al.
Published: (2025-02-01)

Secure Wireless Communications in Broadcast Channels With Confidential Messages
by: Mohammed Adil Abbas, et al.
Published: (2019-01-01)

Framework for Malware Triggering Using Steganography
by: Lamia Almehmadi, et al.
Published: (2022-08-01)

Layered space-time architectures for wireless communications in flat fading channels
by: Zhao, Lan
Published: (2008)

Deep learning channel estimation for 5G wireless communications
by: Mohammed Zouaoui M. Laidouni, et al.
Published: (2023-10-01)

CYBER SECURITY OF WIRELESS SMART SYSTEMS: CHANNELS OF INTRUSIONS AND RADIO FREQUENCY VULNERABILITIES
by: Володимир Якович Певнев, et al.
Published: (2020-11-01)

Wireless communications security /
by: Imai, Hideki, 1943-, et al.
Published: (2006)

Channel sounding for wireless communication
by: Ong, Fabian Jee Wee.
Published: (2009)

Channel equalization in wireless communication
by: Du, Fei.
Published: (2008)

Wireless internet security : architecture and protocols /
by: Kempf, James, 1952-
Published: (2008)

Security issues in wireless communications
by: Leuca, Magdalena
Published: (2005)

Efficient Detection of DDoS Attacks Using a Hybrid Deep Learning Model with Improved Feature Selection
by: Daniyal Alghazzawi, et al.
Published: (2021-12-01)

Framework for Secure Wireless Communication in Wireless Sensor Networks
by: Muhammad Usama, et al.
Published: (2013-12-01)

Concepts on Train-to-Ground Wireless Communication System for Hyperloop: Channel, Network Architecture, and Resource Management
by: Jiachi Zhang, et al.
Published: (2020-08-01)

Multicarrier communications for underwater wireless channels
by: Leong, Chen Ming.
Published: (2010)

Railway Wireless Communications Channel Characterization
by: Nerea Fernández-Berrueta, et al.
Published: (2021-12-01)

Wireless Channel Models for Maritime Communications
by: Jue Wang, et al.
Published: (2018-01-01)

Exploiting the Reciprocal Channel for Discrete Jamming to Secure Wireless Communications Against Multiple-Antenna Eavesdropper
by: Gustavo Anjos, et al.
Published: (2018-01-01)

A Poisson Process-Based Random Access Channel for 5G and Beyond Networks
by: Alaa Omran Almagrabi, et al.
Published: (2021-03-01)

Deep Reinforcement Learning for Power Controlled Channel Allocation in Wireless Avionics Intra-Communications
by: Yuanjun Zuo, et al.
Published: (2021-01-01)

Physical layer security in wireless communications /
by: Zhou, Xiangyun Sean, editor, et al.
Published: (2014)

The application of cross correlation technique for estimating impulse response and frequency response of wireless communication channel /
by: Zaiton Sharif, et al.
Published: (2007)

Secured Communication over Frequency-Selective Fading Channels: A Practical Vandermonde Precoding
by: Mari Kobayashi, et al.
Published: (2009-01-01)

Wireless Spread Spectrum Communication Channel Modelling and Simulation Technical Area: Wireless Communication
by: Khatun, Sabira, et al.
Published: (2002)

Frequency-agile antennas for wireless communications /
by: 358243 Petosa, Aldo
Published: (c201)

Comparative Analysis of Channel Models for Industrial IoT Wireless Communication
by: Wenbo Wang, et al.
Published: (2019-01-01)

Efficient key distribution for secure and energy-optimized communication in wireless sensor network using bioinspired algorithms
by: Adil O. Khadidos, et al.
Published: (2024-04-01)

Deep Learning-Assisted Channel Estimation in Frequency Selective UWA Communication Systems
by: Van Duc Nguyen, et al.
Published: (2023-01-01)

IoT based smart home automation using blockchain and deep learning models
by: Muhammad Umer, et al.
Published: (2023-05-01)

DeepDCA: Novel Network-Based Detection of IoT Attacks Using Artificial Immune System
by: Sahar Aldhaheri, et al.
Published: (2020-03-01)

Security in fixed and wireless networks : an introduction to securing data communications /
by: 249469 Schafer, Gunter, et al.
Published: (2003)

Blind channel identification approaches in wireless communications
by: Lai, Yoke Yong
Published: (2008)

Communicating over nonstationary nonflat wireless channels
by: Sigloch, K, et al.
Published: (2005)

Propagation channel models for wireless communication systems
by: Jiang, Lei
Published: (2011)