AI-enabled IoT penetration testing: state-of-the-art and research challenges

Greco, Claudia; Fortino, Giancarlo; Crispo, Bruno; Choo, Kim‐Kwang Raymond

doi:10.1080/17517575.2022.2130014

Cited by 10 publications

(3 citation statements)

References 96 publications

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“…The Internet of things (IoT) and artificial intelligence (AI) are two game-changing technologies that are rapidly merging to build more intelligent and interconnected systems [16][17][18]. The development and comprehension of intelligent systems are supported by a broad range of ideas [19], methods, and principles that constitute the theoretical framework of artificial intelligence (AI).…”

Section: Sustainability and Ipementioning

confidence: 99%

Validation of Instruments for the Improvement of Interprofessional Education through Educational Management: An Internet of Things (IoT)-Based Machine Learning Approach

Mohamed,

Altinay,

Altinay

et al. 2023

Sustainability

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Educational management is the combination of human and material resources that supervises, plans, and responsibly executes an educational system with outcomes and consequences. However, when seeking improvements in interprofessional education and collaborative practice through the management of health professions, educational modules face significant obstacles and challenges. The primary goal of this study was to analyse data collected from discussion sessions and feedback from respondents concerning interprofessional education (IPE) management modules. Thus, this study used an explanatory and descriptive design to obtain responses from the selected group via a self-administered questionnaire and semi-structured interviews, and the results were limited to averages, i.e., frequency distributions and summary statistics. The results of this study reflect the positive responses from both subgroups and strongly support the further implementation of IPE in various aspects and continuing to improve and develop it. Four different artificial intelligence (AI) techniques were used to model interprofessional education improvement through educational management, using 20 questions from the questionnaire as the variables (19 input variables and 1 output variable). The modelling performance of the nonlinear and linear models could reliably predict the output in both the calibration and validation phases when considering the four performance metrics. These models were shown to be reliable tools for evaluating and modelling interprofessional education through educational management. Gaussian process regression (GPR) outperformed all the models in both the training and validation stages.

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Section: Sustainability and Ipementioning

confidence: 99%

Validation of Instruments for the Improvement of Interprofessional Education through Educational Management: An Internet of Things (IoT)-Based Machine Learning Approach

Mohamed,

Altinay,

Altinay

et al. 2023

Sustainability

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“…7) Testing and Certification: Regulators may mandate that IoT devices go through testing and certification to make sure they adhere to strict security and technical requirements [154]. This contributes to federated IoT systems' device dependability and safety.…”

Section: Policy and Regulatory Landscape For Federated Iot Systemsmentioning

confidence: 99%

Quantum-Empowered Federated Learning and 6G Wireless Networks for IoT Security: Concept, Challenges and Future Directions

Javeed,

Saeed,

Ahmad

et al. 2023

Preprint

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“…In this light, our research delves into the vulnerabilities of IIoT systems, especially those interfaced with Supervisory Control and Data Acquisition (SCADA) systems [1] . SCADA systems, the bedrock of many critical infrastructures, are particularly at risk, where a ransomware infiltration can lead to financial and societal upheaval.…”

Section: Introductionmentioning

confidence: 99%

Combatting ransomware in ZephyrOS-activated industrial IoT environments

Tariq

2024

Heliyon

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AI-enabled IoT penetration testing: state-of-the-art and research challenges

Cited by 10 publications

References 96 publications

Validation of Instruments for the Improvement of Interprofessional Education through Educational Management: An Internet of Things (IoT)-Based Machine Learning Approach

Validation of Instruments for the Improvement of Interprofessional Education through Educational Management: An Internet of Things (IoT)-Based Machine Learning Approach

Quantum-Empowered Federated Learning and 6G Wireless Networks for IoT Security: Concept, Challenges and Future Directions

Combatting ransomware in ZephyrOS-activated industrial IoT environments

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