Security and Privacy for Future Healthcare IoT

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ID: 313264
2022
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Abstract
Computer networks are widely used in today's society, and we utilize the Internet to connect to our home networks. IoT networks are a brand-new category of these networks where we attempt to connect various household equipment and attempt to issue orders from a distance. Hash code or message authentication code (MAC) is used for authentication, and several encryptions and decryption techniques guarantee secrecy. The cost of using traditional cryptographic security techniques in terms of computing resources like memory, processor power, and power consumption is high. There is no proper model/ framework available to address the major security issues of IoT devices. The literature address that still several gaps exist regarding security issues. To secure and protect future healthcare IoT systems, this research will provide a model that combines shallow learning with deep learning.
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imported_1777060124_69ebc91c192ee Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Shahid Farid
Journal Journal of Computing & Biomedical Informatics
Year 2022
DOI
10.56979/401/2022/88
URL
https://jcbi.org/index.php/Main/article/view/88
Keywords Keywords not found

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