A comprehensive survey of privacy-preserving federated learning: A taxonomy, review, and future directions

X Yin, Y Zhu, J Hu - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
The past four years have witnessed the rapid development of federated learning (FL).
However, new privacy concerns have also emerged during the aggregation of the …

Performance comparison and current challenges of using machine learning techniques in cybersecurity

K Shaukat, S Luo, V Varadharajan, IA Hameed, S Chen… - Energies, 2020 - mdpi.com
Cyberspace has become an indispensable factor for all areas of the modern world. The
world is becoming more and more dependent on the internet for everyday living. The …

From artificial intelligence to explainable artificial intelligence in industry 4.0: a survey on what, how, and where

I Ahmed, G Jeon, F Piccialli - IEEE Transactions on Industrial …, 2022 - ieeexplore.ieee.org
Nowadays, Industry 4.0 can be considered a reality, a paradigm integrating modern
technologies and innovations. Artificial intelligence (AI) can be considered the leading …

A survey on machine learning techniques for cyber security in the last decade

K Shaukat, S Luo, V Varadharajan, IA Hameed… - IEEE …, 2020 - ieeexplore.ieee.org
Pervasive growth and usage of the Internet and mobile applications have expanded
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …

Demystifying AI: What digital transformation leaders can teach you about realistic artificial intelligence

JKU Brock, F Von Wangenheim - California Management …, 2019 - journals.sagepub.com
Recent years have seen a reemergence of interest in artificial intelligence (AI) among both
managers and academics. Driven by technological advances and public interest, AI is …

Artificial intelligence, cyber-threats and Industry 4.0: Challenges and opportunities

A Bécue, I Praça, J Gama - Artificial Intelligence Review, 2021 - Springer
This survey paper discusses opportunities and threats of using artificial intelligence (AI)
technology in the manufacturing sector with consideration for offensive and defensive uses …

[图书][B] Understanding industry 4.0: AI, the internet of things, and the future of work

BS Sergi, EG Popkova, AV Bogoviz, TN Litvinova - 2019 - books.google.com
Everywhere you look, there are signs of the Fourth Industrial Revolution. R&D on leading
digital technologies is conducted around the world, exploring novel technologies aimed at …

The role of artificial intelligence and machine learning in wireless networks security: Principle, practice and challenges

M Waqas, S Tu, Z Halim, SU Rehman, G Abbas… - Artificial Intelligence …, 2022 - Springer
Security is one of the biggest challenges concerning networks and communications. The
problem becomes aggravated with the proliferation of wireless devices. Artificial Intelligence …

Machine learning and deep learning techniques for cybersecurity: a review

SA Salloum, M Alshurideh, A Elnagar… - Proceedings of the …, 2020 - Springer
In this review, significant literature surveys on machine learning (ML) and deep learning
(DL) techniques for network analysis of intrusion detection are explained. In addition, it …

Artificial intelligence in the cyber domain: Offense and defense

TC Truong, QB Diep, I Zelinka - Symmetry, 2020 - mdpi.com
Artificial intelligence techniques have grown rapidly in recent years, and their applications in
practice can be seen in many fields, ranging from facial recognition to image analysis. In the …