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Arora, Pallavi
- Home Network Security Incorporating Machine Learning Algorithms In Internet Of Medical Things
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Authors
Affiliations
1 Department of Computer Science and Engineering, I.K. Gujral Punjab Technical University, IN
2 Department of Electronics and Communication Engineering, Guru Nanak Dev Engineering College, IN
3 Department of Informatics, Federal Institute of Education, Science, and Technology of São Paulo, BR
1 Department of Computer Science and Engineering, I.K. Gujral Punjab Technical University, IN
2 Department of Electronics and Communication Engineering, Guru Nanak Dev Engineering College, IN
3 Department of Informatics, Federal Institute of Education, Science, and Technology of São Paulo, BR
Source
ICTACT Journal on Communication Technology, Vol 12, No 4 (2021), Pagination: 2562-2566Abstract
The proliferation of chronic disorders such as COVID-19 has recognized the importance of people all over the world having immediate access to healthcare. The recent pandemic has shown deficiencies in the traditional healthcare infrastructure, namely that hospitals and clinics alone are inadequate for grappling with such a disaster. One of the key technologies that favours new healthcare solutions is smart and interconnected wearables. Thanks to developments in the Internet of Things (IoT), these wearables will now collect data on an unprecedented scale. However, as a result of their extensive use, security in these critical systems has become a major concern. This paper presents an intrusion detection mechanism based on Machine Learning Algorithms for healthcare applications used in home network environments. Experiments are carried out on a home network to detect attacks against a health care application. Experiments using the proposed mechanism based on Machine Learning algorithms to detect attacks against a healthcare application are carried out on a home network, and the results show a good performance of the used algorithms.Keywords
IoMT, Security, Smart Watch, IDS
References
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- Cybersecurity In IIOT And IOMT Networks Using Machine Learning Algorithms - A Survey
Abstract Views :123 |
PDF Views:0
Authors
Affiliations
1 Department of Computer Science and Engineering, I.K. Gujral Punjab Technical University, IN
2 Department of Electronics and Communication Engineering, Guru Nanak Dev Engineering College, IN
3 Department of Informatics, Federal Institute of Education, Science, and Technology of São Paulo, BR
1 Department of Computer Science and Engineering, I.K. Gujral Punjab Technical University, IN
2 Department of Electronics and Communication Engineering, Guru Nanak Dev Engineering College, IN
3 Department of Informatics, Federal Institute of Education, Science, and Technology of São Paulo, BR
Source
ICTACT Journal on Communication Technology, Vol 12, No 4 (2021), Pagination: 2577-2581Abstract
Rapid advancements in micro-computing, mini-hardware manufacturing, and machine-to-machine (M2M) communications have allowed for innovative Internet of Things (IoT) solutions to redefine numerous networking applications. With the emergence of IoT branches such as the Internet of Medical Things (IoMT) and the Industrial Internet of Things (IIoT), healthcare and industrial systems have been changed by IoT. This paper presents an overview of the technologies that are being used to secure IoMT as well as IIoT frameworks seen within the research articles.Keywords
Machine Learning, Healthcare, Cybersecurity, Internet of Things (IoT)References
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