Study and Design of the Safe HIS on the Internet of Things

Bai, Xin; Yan, Hongyan; Zhang, Xiaojuan

doi:10.1109/iscid.2011.52

Cited by 4 publications

(3 citation statements)

References 3 publications

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“…Xin Bai, et al, analyzed the public security techniques of the Internet of Things, including IOT-MW (Internet of Things-Middleware), encryption, decryption, secret key management, privacy homomorphism, and access control etc. especially the cryptograph query [8]. Biplob R. Ray, et al, analyzed scalable RFID security framework and protocol for supporting Internet of Things.…”

Section: Related Workmentioning

confidence: 99%

Privacy and Security Issues for Healthcare System with Embedded RFID System on Internet of Things

Kim

2014

Advanced Science and Technology Letters

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Abstract. Today, RFID technologies are being applied in ubiquitous sensor network system to improve the quality of healthcare system. In this paper, we have investigated and surveyed on security and privacy issues in RFID systems and their applications related with IoT (Internet on Things). Wireless sensor networks can be applied for ubiquitous health monitoring, improving users' well-being, making the healthcare system more efficient, and helping to quickly react on emergency situations. To meet the strict security needs of ubiquitous medical applications is a big challenge. We surveyed a deployment model for pervasive healthcare regarding to patient area and medical sensor networks.

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Section: Related Workmentioning

confidence: 99%

Privacy and Security Issues for Healthcare System with Embedded RFID System on Internet of Things

Kim

2014

Advanced Science and Technology Letters

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“…Xin Bai and Hongyan Yan analyzed design of the safe HIS (Hospital Information System) on the Internet of Things. They also studied the public security technologies of the Internet of Things, including IoT-MW (Internet of Things-Middleware), encryption, decryption, secret key management, privacy homomorphism, access control and cryptograph query [14]. Figure 2 depicts a concept of the network topology for the u-health system.…”

Section: Figue 1 Architecture Of Iot Based On Security Mechanismmentioning

confidence: 99%

Analysis of RFID Application for U-healthcare System in Internet of Things

Kim¹

2014

IJSH

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In the past years, Internet of Things (IoT) has been focused and fused with wireless sensor node such as RFID, NFC tag and small sensor nodes, especially for hospital environment with mobile device. Due to the weakness characteristics of wireless signals, unauthorized person can access easier to hospital networks in wireless part than wired network systems. This may induced in several security problems. Therefore, a lot of threats, attacks and vulnerability are occurred in wireless surroundings because of their limited resources such as small memory and low computation capability in wireless sensor network. RFID is often utilized as a prerequisite for the IoT in healthcare system. We surveyed and analyzed the technologies and characteristics of RFID and its application based on IoT.

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“…Gluhak and van Kranenburg (2012) discussed how the pervasively deployed IOT can be integrated with new signal processing technologies to implement the decentralized governance. Bai and Yan (2011) adopted the IoT in their hospital information system with the capability of emergency response. Researchers argued that the function of IoT can even be expanded from post-disaster relief gradually mainly to early-warning.…”

Section: Iots For Data Acquisition In Erssmentioning

confidence: 99%

A new methodology to support group decision-making for IoT-based emergency response systems

Sun

et al. 2013

Inf Syst Front

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An emergency response system (ERS) can assist a municipality or government in improving its capabilities to respond urgent and severe events. The responsiveness and effectiveness of an ERS relies greatly on its data acquisition and processing system, which has been evolved with information technology (IT). With the rapid development of sensor networks and cloud computing, the emerging Internet of things (IoT) tends to play an increasing role in ERSs; the networks of sensors, public services, and experts are able to interact with each other and make scientific decisions to the emergencies based on real-time data. When group decision making is required in an ERS, one critical challenge is to obtain the good understanding of massive and diversified data and make consensus group decisions under a high-level stress and strict time constraint. Due to the nature of unorganized data and system complexity, an ERS depends on the perceptions and judgments of experts from different domains; it is challenging to assess the consensus of understanding on the collected data and response plans before appropriate decisions can be reached for emergencies. In this paper, the group decision-making to emergency situations is formulated as a multiple attribute group decision making (MAGDM) problem, the consensus among experts is modeled, and a new methodology is proposed to reach the understanding of emergency response plans with the maximized consensus in course of decision-making. In the implementation, the proposed methodology in integrated with computer programs and encapsulated as a service on the server. The objectives of the new methodology are (i) to enhance the comprehensive group cognizance on emergent scenarios and response plans and (ii) to accelerate the consensus for decision making with an intelligent clustering algorithm, (iii) to adjust the experts' opinions without affecting the reliability of the decision when the consensus cannot be reached from the preliminary decision-making steps. Partitioning Around Medoids (PAM) has been applied as the clustering algorithm, Particle Swarm Optimization (PSO) is deployed to adjust evaluation values automatically. The methodology is applied in a case study to illustrate its effectiveness in converging group opinions and promoting the consensus of understanding on emergencies.

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Study and Design of the Safe HIS on the Internet of Things

Cited by 4 publications

References 3 publications

Privacy and Security Issues for Healthcare System with Embedded RFID System on Internet of Things

Privacy and Security Issues for Healthcare System with Embedded RFID System on Internet of Things

Analysis of RFID Application for U-healthcare System in Internet of Things

A new methodology to support group decision-making for IoT-based emergency response systems

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