Anomaly detection based on Artificial Intelligence of Things: A Systematic Literature Mapping

Trilles, Sergio; Hammad, Sahibzada Saadoon; Iskandaryan, Ditsuhi

doi:10.1016/j.iot.2024.101063

Cited by 15 publications

(2 citation statements)

References 68 publications

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“…AI algorithms can optimize encryption processes, making them more efficient and resistant to attacks. For example, AI can be used to dynamically adjust encryption keys and protocols based on the sensitivity of the data and the current threat environment, providing adaptive and context-aware data protection [57,58]. Furthermore, Explainable AI (XAI) techniques can be used to create more transparent AI security systems [59].…”

Section: Leveraging Artificial Intelligence and Technological Solutio...mentioning

confidence: 99%

Formulating Global Policies and Strategies for Combating Criminal Use and Abuse of Artificial Intelligence

Samuel-Okon,

Olateju,

Okon

et al. 2024

Arch. Curr. Res. Int.

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This study investigates the criminal use and abuse of artificial intelligence (AI), exploring the effectiveness of various mitigation strategies. It employs a mixed-methods approach, combining quantitative data from a survey of 211 experts with qualitative insights from academic, governmental, and industrial publications. The research examines four key hypotheses: the impact of public and organizational awareness, the role of advanced detection technologies, the effectiveness of ethical guidelines, and the influence of penalties and enforcement. The findings reveal that awareness, technology, ethics, and enforcement all contribute to mitigating AI misuse. The study concludes by proposing comprehensive strategies, including targeted awareness campaigns, investment in detection technologies, robust ethical guidelines, and strengthened legal frameworks, to effectively combat the criminal use of AI.

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Section: Leveraging Artificial Intelligence and Technological Solutio...mentioning

confidence: 99%

Formulating Global Policies and Strategies for Combating Criminal Use and Abuse of Artificial Intelligence

Samuel-Okon,

Olateju,

Okon

et al. 2024

Arch. Curr. Res. Int.

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“…Machine learning algorithms are increasingly used to automate anomaly detection, and make it more efficient and accurate [14]. Some of these applications including:…”

Section: Introductionmentioning

confidence: 99%

Power electronics anomaly detection and diagnosis with machine learning and deep learning methods: A survey

Hossein Rahimighazvini,

Zeyad Khashroum,

Maryam Bahrami

et al. 2024

Int. J. Sci. Res. Arch.

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Power electronics pertains to the conception, regulation, and utilization of electronic power circuits to proficiently administer and transform electrical energy. Power electronics play a crucial role in maintaining the reliability, efficiency, and security of complex production systems. Also, increasingly important in various applications such as renewable energy systems, electric vehicles, and industrial automation. However, modern power electronics systems are vulnerable to both cyber and physical anomalies due to the integration of information and communication technologies. So far, different methods have been used to detect abnormalities. This survey provides an overview of the state-of-the-art in anomaly detection in power electronics using machine learning and deep learning methods. It highlights the potential of these techniques in addressing the growing complexity and vulnerability of power electronics systems.

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Embryonic Machine-Deep Learning, Smart Healthcare and Privacy Deliberations in Hospital Industry: Lensing Confidentiality of Patient’s Information and Personal Data in Legal-Ethical Landscapes Projecting Futuristic Dimensions

Singh,

Kaunert

2024

Engineering Cyber-Physical Systems and Critical Infrastructures

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Anomaly detection based on Artificial Intelligence of Things: A Systematic Literature Mapping

Cited by 15 publications

References 68 publications

Formulating Global Policies and Strategies for Combating Criminal Use and Abuse of Artificial Intelligence

Formulating Global Policies and Strategies for Combating Criminal Use and Abuse of Artificial Intelligence

Power electronics anomaly detection and diagnosis with machine learning and deep learning methods: A survey

Embryonic Machine-Deep Learning, Smart Healthcare and Privacy Deliberations in Hospital Industry: Lensing Confidentiality of Patient’s Information and Personal Data in Legal-Ethical Landscapes Projecting Futuristic Dimensions

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