[HTML][HTML] A tutorial on data mining for Bayesian networks, with a specific focus on IoT for agriculture

PJ Krause, V Bokinala - Internet of Things, 2023 - Elsevier
We are seeing a steady build up in momentum of two trends that will lead to a significant,
and necessary, transformation of agriculture in the 21st Century. Firstly, the move to digital …

Reliable Integration of Neural Network and Internet of Things for Forecasting, Controlling, and Monitoring of Experimental Building Management System

MESM Essa, AM El-shafeey, AH Omar, AE Fathi… - Sustainability, 2023 - mdpi.com
In this paper, Internet of Things (IoT) and artificial intelligence (AI) are employed to solve the
issue of energy consumption in a case study of an education laboratory. IoT enables …

Evaluating holistic privacy risk posed by smart home ecosystem: A capability-oriented model accommodating epistemic uncertainty and wisdom of crowds

JP Chang, HL Zheng, A Mardani… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Evaluating the holistic privacy risk (HPR) presented by a smart home ecosystem (SHE),
encompassing both internal and external entities that may be targeted by different …

[HTML][HTML] The variables with the greatest influence on ATM safety barriers

RDA Jurado, VFG Comendador, MZ Suárez… - Safety science, 2023 - Elsevier
Due to the high level of safety achieved in ATM, relatively little data is available on negative
safety outcomes. For this reason, the current knowledge of the determinants of the …

Navigating IoT Security Assessment: Current Methods, Challenges and Future Directions

A Abdulhamid, S Kabir, I Ghafir… - 2024 14th International …, 2024 - ieeexplore.ieee.org
Rapid growth of Internet of Things (IoT) applications h as significantly transformed h uman
interaction with technology, providing unprecedented convenience and connectivity in our …

Most influential factors in the detection of potential conflicts between en-route aircraft by ATCO

RDA Jurado, VFG Comendador… - Journal of Physics …, 2023 - iopscience.iop.org
The objective of this methodology is to create a model capable of analysing and predicting
the identification of potential conflicts between aircraft during en-route flights by air traffic …

Preventing and Detecting Malware in Smart Environments. The Smart Home Case

S Kulkarni, A Mylonas, S Vidalis - Malware: Handbook of Prevention and …, 2024 - Springer
Abstract Latest research from Strategy Analytics suggests that smart home devices will soar
to 17 billion by 2030. However, as these devices become more popular increases, they …

Network Security Risk Evaluation and Inducement Analysis Based on Bayesian Method

Z Bu, S Ye - 2024 5th Information Communication …, 2024 - ieeexplore.ieee.org
With the extension of the cyberspace, network safety issue emerges gradually, especially in
scientific and industrial fields. To evaluate the network security status rapidly and precisely …

Preventing and Detecting Malware in

S Kulkarni, A Mylonas, S Vidalis - Malware: Handbook of Prevention and … - books.google.com
Abstract Latest research from Strategy Analytics suggests that smart home devices will soar
to 17 billion by 2030. However, as these devices become more popular increases, they …

Vulnerability Risk and Stochastic Game based Security Situation Awareness for Electric Internet of Things

P Wu, H Sun, L Zhou, Y Shang, L Cheng… - Proceedings of the 2024 …, 2024 - dl.acm.org
Electric Internet of Things (EIoT) faces a large scale of attacking for massive terminal access,
and there exists a certain challenge to make modeling security situation for EIoT. A network …