A comprehensive review of cyber-attacks and defense mechanisms for improving security in smart grid energy systems: Past, present and future

M Ghiasi, T Niknam, Z Wang, M Mehrandezh… - Electric Power Systems …, 2023 - Elsevier
Due to the advancement in communication networks, metering and smart control systems,
as well as the prevalent use of Internet-based structures, new forms of power systems have …

Unleashing the power of edge-cloud generative ai in mobile networks: A survey of aigc services

M Xu, H Du, D Niyato, J Kang, Z Xiong… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Artificial Intelligence-Generated Content (AIGC) is an automated method for generating,
manipulating, and modifying valuable and diverse data using AI algorithms creatively. This …

Digital twin: A comprehensive survey of security threats

C Alcaraz, J Lopez - IEEE Communications Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Industry 4.0 is having an increasingly positive impact on the value chain by modernizing and
optimizing the production and distribution processes. In this streamline, the digital twin (DT) …

When machine learning meets privacy: A survey and outlook

B Liu, M Ding, S Shaham, W Rahayu… - ACM Computing …, 2021 - dl.acm.org
The newly emerged machine learning (eg, deep learning) methods have become a strong
driving force to revolutionize a wide range of industries, such as smart healthcare, financial …

Lira: Learnable, imperceptible and robust backdoor attacks

K Doan, Y Lao, W Zhao, P Li - Proceedings of the IEEE/CVF …, 2021 - openaccess.thecvf.com
Recently, machine learning models have demonstrated to be vulnerable to backdoor
attacks, primarily due to the lack of transparency in black-box models such as deep neural …

Machine learning in IoT security: Current solutions and future challenges

F Hussain, R Hussain, SA Hassan… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
The future Internet of Things (IoT) will have a deep economical, commercial and social
impact on our lives. The participating nodes in IoT networks are usually resource …

Machine learning for 5G/B5G mobile and wireless communications: Potential, limitations, and future directions

ME Morocho-Cayamcela, H Lee, W Lim - IEEE access, 2019 - ieeexplore.ieee.org
Driven by the demand to accommodate today's growing mobile traffic, 5G is designed to be
a key enabler and a leading infrastructure provider in the information and communication …

Privacy and security issues in deep learning: A survey

X Liu, L Xie, Y Wang, J Zou, J Xiong, Z Ying… - IEEE …, 2020 - ieeexplore.ieee.org
Deep Learning (DL) algorithms based on artificial neural networks have achieved
remarkable success and are being extensively applied in a variety of application domains …

A survey of machine and deep learning methods for internet of things (IoT) security

MA Al-Garadi, A Mohamed, AK Al-Ali… - … surveys & tutorials, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) integrates billions of smart devices that can communicate with
one another with minimal human intervention. IoT is one of the fastest developing fields in …

Adversarial attacks on deep-learning models in natural language processing: A survey

WE Zhang, QZ Sheng, A Alhazmi, C Li - ACM Transactions on Intelligent …, 2020 - dl.acm.org
With the development of high computational devices, deep neural networks (DNNs), in
recent years, have gained significant popularity in many Artificial Intelligence (AI) …