Security and privacy framework for ubiquitous healthcare IoT devices

Alkeem, Ebrahim Al; Yeun, Chan Yeob; Zemerly, Mohamed Jamal

doi:10.1109/icitst.2015.7412059

Cited by 25 publications

(14 citation statements)

References 12 publications

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“…During a systematic literature review, it is observed that security and privacy are still a big challenge for the Internet of medical things. Several studies were already conducted in the near past to deal with the Internet of medical things security challenges [23][24][25][26] and as well as to deal with security challenges of cloud computing [27][28][29][30][31][32]. e IoT is the complex network developed through smart devices that are connected in different ways, producing data and information for communication and exchanging information within the network.…”

Section: Mobile Information Systemsmentioning

confidence: 99%

“…Equation 25is related to calculating fuzzy positive ideal solution (FPIS), and equation (26) is associated with fuzzy negative ideal solution (FNIS).…”

Section: Phase Iv: Fuzzy Topsismentioning

confidence: 99%

“…Step 18. Use equation (25) to compute (V + i ) and equation (26) for (V − i ); the results are shown in Table 12. 14.0 S1 S2 S3 S4 S5 S6 S7 S8 S9 S10 S11 S12 S13 S14 S15 S16 S17 S18 S19 S20…”

Section: Mobile Information Systemsmentioning

confidence: 99%

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Evaluation of the Challenges in the Internet of Medical Things with Multicriteria Decision Making (AHP and TOPSIS) to Overcome Its Obstruction under Fuzzy Environment

Tariq

Mian

Sohail

et al. 2020

Mobile Information Systems

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The exponential speed of advancement of innovation has expanded the needs of all users to avail all their information on the Internet 24/7. The Internet of things (IoT) enables smart objects to develop a significant building block in the development of the pervasive framework. The messaging between objects with one another means the least work and least expense for the enterprise. The industry that intends to implement the Internet of medical things (IoMT) in its organizations is still facing difficulties. Recognition and solving of these challenges are a time-consuming task and also need significant expenses if not adequately evaluated and prioritized. The application of the Internet of things is covered in almost every area, including medical/healthcare. In this research, the authors investigated the factors dealing with the Internet of medical things. The outcome of this study is to prioritize the level of significance of the elements causing these challenges, evaluated through fuzzy logic and multicriteria decision-making (MCDM) techniques like Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Analytic Hierarchy Process (AHP). It would be beneficial for enterprises to save time and revenue. The main criteria, as well as subcriteria, were determined after due consultation with the Internet of medical things experts. In this study, our goals are to figure out which criteria/factors create hurdles in the adoption of the Internet of medical things. Through the investigation, we figured out 20 criteria ought to be given more importance/preference by the industry that is in the transition phase of the Internet of medical things adoption. The enterprise, with the help of this study, will be enabled to accelerate that adoption by limiting time and fiscal misfortune.

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Section: Mobile Information Systemsmentioning

confidence: 99%

“…Equation 25is related to calculating fuzzy positive ideal solution (FPIS), and equation (26) is associated with fuzzy negative ideal solution (FNIS).…”

Section: Phase Iv: Fuzzy Topsismentioning

confidence: 99%

See 1 more Smart Citation

Evaluation of the Challenges in the Internet of Medical Things with Multicriteria Decision Making (AHP and TOPSIS) to Overcome Its Obstruction under Fuzzy Environment

Tariq

Mian

Sohail

et al. 2020

Mobile Information Systems

View full text Add to dashboard Cite

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“…The attacker can eavesdrop and manipulate the message in real-time without the sender or receiver noticing [6]. Referenced in: [32], [13], [16], [19], [21], [46], [26].…”

Section: Denial Of Service (Dos) (26)mentioning

confidence: 99%

“…With full access to the application, the attacker can modify or delete PHR data from the medical database [34]. Referenced in : [3], [27], [32], [21], [43], [45].…”

Section: Denial Of Service (Dos) (26)mentioning

confidence: 99%

Analysis of Attacks and Security Requirements for Wireless Body Area Networks - A Systematic Literature Review

Paul

Loane

Regan

et al. 2019

Communications in Computer and Information Science

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Wireless Body Area Networks are gaining popularity in healthcare applications due to recent advances in sensor technology, integrated circuits, and wireless communication. These systems need to ensure that data is protected during collection, transmission, processing and storage. Currently, no complete solution exists for ensuring data is protected while also meeting regulatory security requirements for wireless body area network applications. To develop effective solutions, it is necessary to explore the attacks and security requirements of wireless body area network applications. There is no comprehensive list of attacks and security requirements. This paper will present a systematic literature review of potential attacks and security requirements for ensuring data security in wireless body area networks.

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