Results 61 to 70 of about 13,838 (217)
The Business Impact of IIoT Vulnerabilities.
Part of ISBN 9781733632577QC ...
Ebbers, Frank +2 more
openaire +2 more sources
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
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]
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
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
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
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
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
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
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

