Results 61 to 70 of about 13,838 (217)

The Business Impact of IIoT Vulnerabilities.

open access: yes, 2021
Part of ISBN 9781733632577QC ...
Ebbers, Frank   +2 more
openaire   +2 more sources

A Comprehensive Systematic Review of Cyber‐Physical Systems Security: Threats, Challenges, and Defense in ICS/OT Environments

open access: yesEngineering Reports, Volume 8, Issue 7, July 2026.
Overview of the paper organization, illustrating the hierarchical structure of cybersecurity domains in ICS and CPS, including attack analysis, security approaches, offensive tactics, career guidance, and concluding discussions. ABSTRACT The convergence of operational technology (OT) with IP‐based information systems has exposed industrial control ...
M. A. Khalifa   +2 more
wiley   +1 more source

Graph–Time IoT IDS: Requirement‐Aligned Impact Evaluation

open access: yesEngineering Reports, Volume 8, Issue 7, July 2026.
A multi‐view intrusion detection framework (IMPACT‐MVG) combines temporal behavior modeling and graph‐based interaction analysis to detect IoT network attacks. Impact‐centric evaluation using the ICSec score shows that the approach reduces operational damage from intrusions while maintaining efficient, explainable, and privacy‐aware security monitoring.
Kumkum Dubey   +7 more
wiley   +1 more source

Industrial Internet of Things (IIoT) Business Model Classification [PDF]

open access: yes, 2019
Currently, there is a mismatch between the potential and the reality of capturing value from the Industrial Internet of Things (IIoT). Furthermore, the lack of empirical guidance on appropriate IIoT business models isn’t helping to address this mismatch.
Baiyere, Abayomi   +4 more
core  

QoS-Aware IIoT Microservices Architecture

open access: yes, 2018
Data has become a strategic driver for the success of existing IIoT applications particularly in uncovering valuable insights and enabling smarter, faster decision making.
Al-Masri, E., Eyhab Al-Masri
core   +1 more source

A Concept for a Self-Sufficient Off-Grid and Backup Solutions for Power Supply and Grid Stabilization in Rural Areas with Wind-Solar-Hydropower for Central Asia

open access: yesProceedings of the International Conference on Applied Innovations in IT, 2019
The purpose of this work is to present a concept how to realize a decentral energy-efficient and selfsufficient energy supply system, consisting of a wind-photovoltaic (PV) or PV- micro-hydro power plants for a stable local energy supply.
Eduard Siemens   +4 more
doaj   +1 more source

A Survey for Deep Reinforcement Learning Based Network Intrusion Detection

open access: yesApplied AI Letters, Volume 7, Issue 2, June 2026.
This paper surveys deep reinforcement learning (DRL) for network intrusion detection, evaluating model efficiency, minority attack detection, and dataset imbalance. Findings show DRL achieves state‐of‐the‐art results on public datasets, sometimes surpassing traditional deep learning.
Wanrong Yang   +3 more
wiley   +1 more source

Indoor Localization of Industrial IoT Devices and Applications Based on Recurrent Neural Networks

open access: yesJournal of Communications Software and Systems
Industrial Internet of Things (IIoT) has become an indispensable element of smart industrial facilities, predicted to continue to grow at a rapid rate. Wireless technologies have become a standard part of today’s industrial facilities with applications ...
Ivan Marasović   +3 more
doaj   +1 more source

Geological and geotechnical challenges on the Great Dyke of Zimbabwe and their impact on hardrock pillar design

open access: yesDeep Underground Science and Engineering, Volume 5, Issue 2, Page 506-538, June 2026.
The Great Dyke of Zimbabwe is notable for its rich platinum group metal deposits but poses significant geological and geotechnical challenges due to its complex rock types and structural features. Traditional pillar design methods are insufficient for addressing these complexities; the study suggests incorporating advanced techniques such as machine ...
Tawanda Zvarivadza   +3 more
wiley   +1 more source

Artificial Intelligence in the Food Industry: Transforming Safety, Efficiency, and Sustainability From Farm to Fork

open access: yeseFood, Volume 7, Issue 3, June 2026.
This review synthesizes AI advancements in food systems, leveraging machine learning, computer vision, robotics, and IoT for 96%–100% accurate quality inspection, 30% reduced downtime, and enhanced traceability from farm to fork. It highlights transformative potential in sustainability and SDGs while addressing data, ethical, and scalability challenges
Muhammad Waqar   +9 more
wiley   +1 more source

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