Secure Smart Wearable Computing through Artificial Intelligence-Enabled Internet of Things and Cyber-Physical Systems for Health Monitoring

Ramasamy, L.K., Khan, F., Shah, M., Prasad , B.V.V.S., Iwendi, C. and Biamba, C. 2022. Secure Smart Wearable Computing through Artificial Intelligence-Enabled Internet of Things and Cyber-Physical Systems for Health Monitoring. Sensors. 22 (3) 1076. https://doi.org/10.3390/s22031076

TitleSecure Smart Wearable Computing through Artificial Intelligence-Enabled Internet of Things and Cyber-Physical Systems for Health Monitoring
TypeJournal article
AuthorsRamasamy, L.K., Khan, F., Shah, M., Prasad , B.V.V.S., Iwendi, C. and Biamba, C.
Abstract

The functionality of the Internet is continually changing from the Internet of Computers (IoC) to the “Internet of Things (IoT)”. Most connected systems, called Cyber-Physical Systems (CPS), are formed from the integration of numerous features such as humans and the physical environment, smart objects, and embedded devices and infrastructure. There are a few critical problems, such as security risks and ethical issues that could affect the IoT and CPS. When every piece of data and device is connected and obtainable on the network, hackers can obtain it and utilise it for different scams. In medical healthcare IoT-CPS, everyday medical and physical data of a patient may be gathered through wearable sensors. This paper proposes an AI-enabled IoT-CPS which doctors can utilise to discover diseases in patients based on AI. AI was created to find a few disorders such as Diabetes, Heart disease and Gait disturbances. Each disease has various symptoms among patients or elderly. Dataset is retrieved from the Kaggle repository to execute AI-enabled IoT-CPS technology. For the classification, AI-enabled IoT-CPS Algorithm is used to discover diseases. The experimental results demonstrate that compared with existing algorithms, the proposed AI-enabled IoT-CPS algorithm detects patient diseases and fall events in elderly more efficiently in terms of Accuracy, Precision, Recall and F-measure.

Article number1076
JournalSensors
Journal citation22 (3)
ISSN1424-8220
Year2022
PublisherMDPI
Publisher's version
License
CC BY 4.0
File Access Level
Open (open metadata and files)
Digital Object Identifier (DOI)https://doi.org/10.3390/s22031076
Publication dates
Published29 Jan 2022

Related outputs

Plan, Prepare and Respond: A Holistic Cyber Security Risk Management Platform
Dharani Goli, Hamad Al-Mohannadi and Mohammad Shah 2023. Plan, Prepare and Respond: A Holistic Cyber Security Risk Management Platform. 2023 10th International Conference on Future Internet of Things and Cloud (FiCloud). Marrakesh, Morocco 14 - 16 Aug 2023 IEEE . https://doi.org/10.1109/ficloud58648.2023.00060

Tourism cloud management system: the impact of smart tourism
Yin, F., Yin, X., Zhou, J., Zhang, X., Zhang, R.., Ibeke, E., Iwendi, M.G. and Shah, M. 2022. Tourism cloud management system: the impact of smart tourism. Journal of Cloud Computing: Advances, Systems and Applications. 11 (1) 37. https://doi.org/10.1186/s13677-022-00316-3

Understanding Awareness of Cyber Security Threat Among IT Employees
Al-Mohannadi, H., Awan, I., Al Hamar, J., Al Hamar, Y., Shah, M. and Musa, A. 2018. Understanding Awareness of Cyber Security Threat Among IT Employees. 2018 6th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW). Barcelona, Spain 06 - 08 Aug 2018 Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/W-FiCloud.2018.00036

Knowledge engineering techniques for automated planning
Shah, M. 2014. Knowledge engineering techniques for automated planning. PhD thesis University of Huddersfield

Towards application of automated planning in urban traffic control
Jimoh, F., Chrpa, L., McCluskey, T.L. and Shah, S. 2013. Towards application of automated planning in urban traffic control. 16th International IEEE Conference on Intelligent Transportation Systems (ITSC). Kurhaus, The Hague, The Netherlands 06 - 09 Oct 2013 IEEE . https://doi.org/10.1109/ITSC.2013.6728360

Exploring knowledge engineering strategies in designing and modelling a road traffic accident management domain
Shah, M. 2013. Exploring knowledge engineering strategies in designing and modelling a road traffic accident management domain. IJCAI '13: Twenty-Third international joint conference on Artificial Intelligence. Beijing, China 03 - 09 Aug 2013 AAAI Press. https://doi.org/10.5555/2540128.2540469

Knowledge engineering tools in planning: State-of-the-art and future challenges
Shah, M., Chrpa, L., Jimoh, F., Kitchin, D.E., McCluskey, T.L., Parkinson, S. and Vallati, M. 2013. Knowledge engineering tools in planning: State-of-the-art and future challenges. Barták, R., Fratini, S., McCluskey, L. and Vaquero, T. (ed.) 4th Workshop on Knowledge Engineering for Planning and Scheduling (KEPS). Rome, Italy 10 Jun 2013

OCL Plus: Processes and Events in Object-Centred Planning
Shah, S., Chrpa, L., Gregory, P., McCluskey, T.L. and Jimoh, F. 2012. OCL Plus: Processes and Events in Object-Centred Planning. in: STAIRS 2012: Proceedings of the Sixth Starting AI Researchers' Symposium IOS Press.

Modelling road traffic incident management problems for automated planning
Shah, M., McCluskey, T.L., Gregory, P. and Jimoh, F. 2012. Modelling road traffic incident management problems for automated planning. IFAC Proceedings Volumes. 45 (24), pp. 360-365. https://doi.org/10.3182/20120912-3-BG-2031.00075

A study of synthesizing artificial intelligence (AI) planning domain models by using object constraints
Shah, M., McCluskey, T.L. and West, M.M. 2009. A study of synthesizing artificial intelligence (AI) planning domain models by using object constraints. in: Proceedings of Computing and Engineering Annual Researchers' Conference 2009: CEARC’09 University of Huddersfield. pp. 64-69

An Investigation into Using Object Constraints to Synthesize Planning Domain Models
Shah, M. 2009. An Investigation into Using Object Constraints to Synthesize Planning Domain Models. 19th International Conference on Automated Planning and Scheduling: Doctoral Consortium. Thessaloniki, Greece 19 - 23 Sep 2009

Permalink - https://westminsterresearch.westminster.ac.uk/item/vw27y/secure-smart-wearable-computing-through-artificial-intelligence-enabled-internet-of-things-and-cyber-physical-systems-for-health-monitoring


Share this

Usage statistics

104 total views
72 total downloads
These values cover views and downloads from WestminsterResearch and are for the period from September 2nd 2018, when this repository was created.