Artificial Intelligence-Based Cyber Security in the Context of Industry 4.0—A Survey

Abstract

The increase in cyber-attacks impacts the performance of organizations in the industrial sector, exploiting the vulnerabilities of networked machines. The increasing digitization and technologies present in the context of Industry 4.0 have led to a rise in investments in innovation and automation. However, there are risks associated with this digital transformation, particularly regarding cyber security. Targeted cyber-attacks are constantly changing and improving their attack strategies, with a focus on applying artificial intelligence in the execution process. Artificial Intelligence-based cyber-attacks can be used in conjunction with conventional technologies, generating exponential damage in organizations in Industry 4.0. The increasing reliance on networked information technology has increased the cyber-attack surface. In this sense, studies aiming at understanding the actions of cyber criminals, to develop knowledge for cyber security measures, are essential. This paper presents a systematic literature research to identify publications of artificial intelligence-based cyber-attacks and to analyze them for deriving cyber security measures. The goal of this study is to make use of literature analysis to explore the impact of this new threat, aiming to provide the research community with insights to develop defenses against potential future threats. The results can be used to guide the analysis of cyber-attacks supported by artificial intelligence.

Exploring the Impact of Artificial Intelligence Integration on Cybersecurity: A Comprehensive Analysis

“…• Adaptability to emerging threats: While the research may focus on current cyber threats, there is a need to assess the adaptability of AI-driven CS solutions to emerging and future threats [8,9]. Research should explore the robustness and agility of AI algorithms in detecting and mitigating novel attack vectors, zero-day exploits, and advanced persistent threats (APTs).…”

“…• Human-AI collaboration: The research may overlook the human factors involved in the interaction between humans and AI systems in CS operations [9,10]. Further exploration is needed to understand the dynamics of human-AI collaboration, including human-machine interaction, decision-making processes, and trust dynamics, to optimize the effectiveness and usability of AI-driven CS solutions.…”

“…• Evaluation metrics and benchmarks: It is crucial to establish standardized evaluation metrics, benchmarks, and performance criteria for assessing the effectiveness and efficiency of AI-driven CS solutions [8,9]. Research should focus on developing comprehensive evaluation frameworks to compare, validate, and benchmark different AI algorithms, models, and implementations across diverse use cases and environments.…”

“…The evolution of cyber threats represents a dynamic and constantly shifting landscape, driven by technological advancements and the increasingly interconnected nature of the digital world [3,5,9]. Cybercriminals, ranging from individual hackers to sophisticated cybercrime syndicates and nation-state actors, continuously innovate and adapt their tactics to exploit vulnerabilities and achieve their malicious objectives.…”

Exploring the Risks, Benefits, Advances, and Challenges in Internet Integration in Medicine With the Advent of 5G Technology: A Comprehensive Review

“…Malicious actors may target 5G-enabled healthcare technology to compromise the availability and integrity of critical medical services. Cyberattacks can result in system downtime, data breaches, and the manipulation of medical information, potentially endangering patient safety and privacy [35].…”