Applied Layered-Security Model to IoMT

Rizk, Dominick; Rizk, Rodrigue; Hsu, Sonya

doi:10.1109/isi.2019.8823430

Cited by 20 publications

(11 citation statements)

References 3 publications

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“…However, this scheme, without fog computing system, provides privacy protection with low efficiency and long delay. Rizk et al [15] elaborated on privacy protection, but they did not propose how to retrieve data. Mishra et al [16] proposed a fog computing service scheduling algorithm and discussed how to reduce energy cost of fog computing system, but it was not combined with a retrieval scheme of the IoMT.…”

Section: Related Workmentioning

confidence: 99%

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Privacy‐Preserving Efficient Data Retrieval in IoMT Based on Low‐Cost Fog Computing

Wang

Cai

et al. 2021

Complexity

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The rapid development of Internet of Medical Things (IoMT) is remarkable. However, IoMT faces many problems including privacy disclosure, long delay of service orders, low retrieval efficiency of medical data, and high energy cost of fog computing. For these, this paper proposes a data privacy protection and efficient retrieval scheme for IoMT based on low-cost fog computing. First, a fog computing system is located between a cloud server and medical workers, for processing data retrieval requests of medical workers and orders for controlling medical devices. Simultaneously, it preprocesses physiological data of patients uploaded by IoMT, collates them into various data sets, and transmits them to medical institutions in this way. It makes the entire execution process of low latency and efficient. Second, multidimensional physiological data are of great value, and we use ciphertext retrieval to protect privacy of patient data in this paper. In addition, this paper uses range tree to build an index for storing physiological data vectors, and meanwhile a range retrieval method is also proposed to improve data search efficiency. Finally, bat algorithm (BA) is designed to allocate cost on a fog server group for significant energy cost reduction. Extensive experiments are conducted to demonstrate the efficiency of the proposed scheme.

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Section: Related Workmentioning

confidence: 99%

“…In applications of IoMT, previous studies [5,15,16,18] likely involved no ciphertext retrieval and no fog computing. In this paper, we study and propose relevant schemes to protect the privacy of patients, improve the retrieval efficiency of medical workers, and reduce the delay of data transmission.…”

Section: Related Workmentioning

confidence: 99%

Privacy‐Preserving Efficient Data Retrieval in IoMT Based on Low‐Cost Fog Computing

Wang

Cai

et al. 2021

Complexity

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“…Jan et al [31] presented the authentication of nodes for streaming of data. Similarly, there are many other frameworks intended to address the security of IoMT system are presented [32], [33] [34] [35] [36] [37] [38].…”

Section: Related Workmentioning

confidence: 99%

ISA Evaluation Framework for Security of Internet of Health Things System Using AHP-TOPSIS Methods

et al. 2020

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Security has become a vital factor for any Internet of things network but it is of paramount importance for Internet of Health Things (IoHT). IoHT also known as Internet of Medical Things (IoMT) is integration of IoT and healthcare environment, where fragile data related to the patients is transmitted from IoT devices to server. During this transmission, if, any eavesdropping or intrusion occurs then it will not only lead to the serious mutilation of entire network but this data will be handled maliciously for wrong doings as well. Therefore, a proper security is indispensable for IoHT based equipments due to exposure to different attacks. Security of IoHT has been the burning issue in last couple of years. In this regard different security models, surveys, frameworks have been presented. In this paper, a proposed Identified Security Attributes (ISA) framework is presented to evaluate the security features of IoHT based device in healthcare environment. The proposed framework uses hybrid MCDM methods such as Analytical Hierarchical Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). This framework works in two phase: in first phase the weights of attributes are derived by using AHP method and in second phase security assessment of alternatives is performed based upon security criteria by using TOPSIS method. The outcomes of proposed security assessment framework demonstrate that the reliable and secure alternative among alternatives is selected in IoMT system. This approach can be used as a guideline for future use in IoMT systems or any other IoT based domain. To the best of our knowledge, it is novel approach to address the security assessment of IoT and these MCDM methods have never been used before for assessment and decision making in IoHT system for security.

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“…PUFs have already established a foothold in various IoT applications [7], [8], as low power security has been in great demand. PUFs exploit the inherent randomness within complementary metal-oxide-semiconductor (CMOS) devices' manufacturing process to produce a unique response when offered an input challenge.…”

Section: Introductionmentioning

confidence: 99%

A Lightweight PUF-Based Authentication Protocol Using Secret Pattern Recognition for Constrained IoT Devices

Idriss

Bayoumi

2021

IEEE Access

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PUFs, or physical unclonable functions, are hardware security primitives that can offer lightweight security solutions for constrained devices through challenge-response authentication protocols. However, the lightweight PUF-based security solutions that have been presented often lack security features such as mutual authentication or message encryption, which could be vital for many applications. Other protocols suffer from vulnerabilities to denial of service attacks that make them impractical to use. This work introduces a lightweight PUF-based protocol that uses secret pattern recognition to offer mutual authentication and authenticated secret message exchange for constrained devices on the Internet of Things. The protocol utilizes several techniques to introduce nonlinearity, and it can employ any strong PUF circuit for which a soft model can be generated. The authentication process requires simple bitwise operations along with a PUF circuit and a true random number generator (TRNG). By avoiding the use of any cryptographic or hash functions, the protocol's lightweight nature is preserved. The security of the proposed protocol against modeling attacks is tested to showcase its resilience. Similar PUF-based protocols are investigated and found to lack some essential security features.

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Applied Layered-Security Model to IoMT

Cited by 20 publications

References 3 publications

Privacy‐Preserving Efficient Data Retrieval in IoMT Based on Low‐Cost Fog Computing

Privacy‐Preserving Efficient Data Retrieval in IoMT Based on Low‐Cost Fog Computing

ISA Evaluation Framework for Security of Internet of Health Things System Using AHP-TOPSIS Methods

A Lightweight PUF-Based Authentication Protocol Using Secret Pattern Recognition for Constrained IoT Devices

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