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http://10.1.7.192:80/jspui/handle/123456789/12486
Title: | Securing Healthcare Communication Using Onion and Garlic Routing |
Authors: | Vaghadia, Shruti |
Keywords: | Computer 2022 Project Report Project Report 2022 Computer Project Report 22MCE 22MCES 22MCES17 CE (CCS) CCS 2022 Cyber Security |
Issue Date: | 1-Jun-2024 |
Publisher: | Institute of Technology |
Series/Report no.: | 22MCES17; |
Abstract: | Internet of Medical Things (IoMT) refers to the network of medical devices and applications connected to the healthcare IT systems through the Internet. IoMT is crucial in modern healthcare, enabling remote patient monitoring, data-driven decision-making, and improved patient outcomes. Focused on enhancing the security of the IoMT, this paper explores the integration of blockchain technology and privacy-preserving techniques, specifically onion and garlic routing. The research discusses blockchain's background in healthcare and the privacy-enhancing capabilities of onion and garlic routing. Findings encompass an in-depth analysis of blockchain-based security frameworks, the role of privacy-preserving techniques in IoMT, and the synergistic integration of blockchain and onion and garlic routing techniques. Findings are supported by a case study of the investigative experiment that highlights the advantage of having a routing method framework over traditional ones. Also provided a case study, in which, the framework to develop IoT context aware security solutions for the detection of malicious traffic in the IoT use cases. The dataset that was generated by the IoT flock tool will help researchers to develop more robust security context-aware solutions specially for the IoT healthcare environment. The advantages identified include heightened data security, transparency, and tamper resistance. The paper concludes with insights into the evolving landscape of IoMT security, acknowledging the various trade-offs and suggesting future research directions. |
URI: | http://10.1.7.192:80/jspui/handle/123456789/12486 |
Appears in Collections: | Dissertation, CE (CCS) |
Files in This Item:
File | Description | Size | Format | |
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22MCES17.pdf | 22MCES17 | 964.01 kB | Adobe PDF | View/Open |
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