Artificial intelligence, cyber-threats and Industry 4.0: Challenges and opportunities
This survey paper discusses opportunities and threats of using artificial intelligence (AI)
technology in the manufacturing sector with consideration for offensive and defensive uses …
technology in the manufacturing sector with consideration for offensive and defensive uses …
Smart grid cyber-physical situational awareness of complex operational technology attacks: A review
The smart grid (SG), regarded as the complex cyber-physical ecosystem of infrastructures,
orchestrates advanced communication, computation, and control technologies to interact …
orchestrates advanced communication, computation, and control technologies to interact …
A survey on deep learning for cybersecurity: Progress, challenges, and opportunities
As the number of Internet-connected systems rises, cyber analysts find it increasingly difficult
to effectively monitor the produced volume of data, its velocity and diversity. Signature-based …
to effectively monitor the produced volume of data, its velocity and diversity. Signature-based …
Machine learning for intrusion detection in industrial control systems: Applications, challenges, and recommendations
Methods from machine learning are used in the design of secure Industrial Control Systems.
Such methods focus on two major areas: detection of intrusions at the network level using …
Such methods focus on two major areas: detection of intrusions at the network level using …
Zero-day attack detection: a systematic literature review
With the continuous increase in cyberattacks over the past few decades, the quest to
develop a comprehensive, robust, and effective intrusion detection system (IDS) in the …
develop a comprehensive, robust, and effective intrusion detection system (IDS) in the …
Artificial intelligence enabled intrusion detection systems for cognitive cyber-physical systems in industry 4.0 environment
Abstract In recent days, Cognitive Cyber-Physical System (CCPS) has gained significant
interest among interdisciplinary researchers which integrates machine learning (ML) and …
interest among interdisciplinary researchers which integrates machine learning (ML) and …
Hardware-assisted machine learning in resource-constrained IoT environments for security: review and future prospective
G Kornaros - IEEE Access, 2022 - ieeexplore.ieee.org
As the Internet of Things (IoT) technology advances, billions of multidisciplinary smart
devices act in concert, rarely requiring human intervention, posing significant challenges in …
devices act in concert, rarely requiring human intervention, posing significant challenges in …
Artificial intelligence and economic development: An evolutionary investigation and systematic review
In today's environment of the rapid rise of artificial intelligence (AI), debate continues about
whether it has beneficial effects on economic development. However, there is only a …
whether it has beneficial effects on economic development. However, there is only a …
A review of anomaly detection strategies to detect threats to cyber-physical systems
N Jeffrey, Q Tan, JR Villar - Electronics, 2023 - mdpi.com
Cyber-Physical Systems (CPS) are integrated systems that combine software and physical
components. CPS has experienced rapid growth over the past decade in fields as disparate …
components. CPS has experienced rapid growth over the past decade in fields as disparate …
Time series anomaly detection for cyber-physical systems via neural system identification and bayesian filtering
C Feng, P Tian - Proceedings of the 27th ACM SIGKDD Conference on …, 2021 - dl.acm.org
Recent advances in AIoT technologies have led to an increasing popularity of utilizing
machine learning algorithms to detect operational failures for cyber-physical systems (CPS) …
machine learning algorithms to detect operational failures for cyber-physical systems (CPS) …