Remote Data Integrity Checking and Sharing in Cloud-Based Health Internet of Things

Wang, Huaqun; Li, Keqiu; Ota, Kaoru; Shen, Jian

doi:10.1587/transinf.2015ini0001

Cited by 22 publications

(4 citation statements)

References 23 publications

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“…He et al constructed the PDP mechanism using RSA-signed homomorphic properties, but this mechanism requires that the entire file is represented by a large number, which results in high computational costs. Wang et al proposed a probabilistic strategy to complete the integrity verification, using the homomorphic properties of the RSA signature mechanism to aggregate the evidence into a small value, greatly reducing the communication overhead of the protocol [35][36][37][38]. Wang et al realized another mechanism that supports full dynamic operation of the PDP mechanism.…”

Section: Pdp Mechanism Provable Data Possession (Pdp)mentioning

confidence: 99%

Incentive Mechanism of Data Storage Based on Blockchain for Wireless Sensor Networks

Ren

Liu

et al. 2018

Mobile Information Systems

120

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In this paper, the blockchain technology is utilized to build the first incentive mechanism of nodes as per data storage for wireless sensor networks (WSNs). In our system, the nodes storing the data are rewarded with digital money. The more the data stored by the node, the more the reward it achieves. Moreover, two blockchains are constructed. One is utilized to store data of each node and another is to control the access of data. In addition, our proposal adopts the provable data possession to replace the proof of work (PoW) in original bitcoins to carry out the mining and storage of new data blocks, which greatly reduces the computing power comparing to the PoW mechanism. Furthermore, the preserving hash functions are used to compare the stored data and the new data block. The new data can be stored in the node which is closest to the existing data, and only the different subblocks are stored. Thus, it can greatly save the storage space of network nodes.

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Section: Pdp Mechanism Provable Data Possession (Pdp)mentioning

confidence: 99%

Incentive Mechanism of Data Storage Based on Blockchain for Wireless Sensor Networks

Ren

Liu

et al. 2018

Mobile Information Systems

120

View full text Add to dashboard Cite

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“…It opens up a new opportunity to connect people to sensor devices distributed around them. With the development of the sensor technologies, a lot of IoT applications have been designed, such as healthcare services, smart grid devices [2]- [4], smart transport systems [5], [6] and smart city etc., which enhance the living conditions greatly. In the context of IoT application domains, there exist two types of networks, i.e., distributed and centralized networks [7].…”

Section: Introductionmentioning

confidence: 99%

An Unlinkable Authentication Scheme for Distributed IoT Application

et al. 2019

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The Internet of Things (IoT) is an enormous ubiquitous-network, which connects the objects through various sensors. The IoT technology promotes the interconnection and fusion between the physical world and information space, and it facilitates the day-to-day life of people. However, since a lot of equipped sensors are unattended and open, the IoT must face and overcome the main problems of security and privacy. Authentication is one of the paramount security concerns in the IoT environment, in which a user could directly access data from the sensors. Therefore, we propose an authentication and key agreement scheme providing unlinkability for the IoT environment based on bilinear pairings. The formal security proof demonstrates that the proposed protocol is unforgeable under the adaptively chosen message attack, and the session key exchange is semantic secure under the eCK model. In addition, the computation and communication costs of the proposed scheme are evaluated and compared with some existing similar schemes, which exhibits that it pleasantly addresses the needs of the IoT as far as security properties and computation expenses.INDEX TERMS Authentication, IoT, privacy-preserving, security.

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“…Though the cloud based storage for medical data is convenient, the accessing of data from the cloud has security issues and the data must be accessed securely [13]. The IoT security can be accomplish in many ways including having the HW and biometrics defense [14].…”

Section: Introductionmentioning

confidence: 99%

Security Framework for Managing Data Security within Point of Care Tests

Tulasidas¹,

Mackay²,

Hudson³

et al. 2017

JSEA

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Point of Care (PoC) devices and systems can be categorized into three broad classes (CAT 1, CAT 2, and CAT 3) based on the context of operation and usage. In this paper, the categories are defined to address certain usage models of the PoC device. PoC devices that are used for PoC testing and diagnostic applications are defined CAT 1 devices; PoC devices that are used for patient monitoring are defined as CAT 2 devices (PoCM); PoC devices that are used for as interfacing with other devices are defined as CAT 3 devices (PoCI). The PoCI devices provide an interface gateway for collecting and aggregating data from other medical devices. In all categories, data security is an important aspect. This paper presents a security framework concept, which is applicable for all of the classes of PoC operation. It outlines the concepts and security framework for preventing security challenges in unauthorized access to data, unintended data flow, and data tampering during communication between system entities, the user, and the PoC system. The security framework includes secure layering of basic PoC system architecture, protection of PoC devices in the context of application and network. Developing the security framework is taken into account of a thread model of the PoC system. A proposal for a low-level protocol is discussed. This protocol is independent of communications technologies, and it is elaborated in relation to providing security. An algorithm that can be used to overcome the threat challenges has been shown using the elements in the protocol. The paper further discusses the vulnerability scanning process for the PoC system interconnected network. The paper also presents a four-step process of authentication and authorization framework for providing the security for the PoC system. Finally, the paper concludes with the machine to machine (M2M) security viewpoint and discusses the key stakeholders within an actual deployment of the PoC system and its security challenges.

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Remote Data Integrity Checking and Sharing in Cloud-Based Health Internet of Things

Cited by 22 publications

References 23 publications

Incentive Mechanism of Data Storage Based on Blockchain for Wireless Sensor Networks

Incentive Mechanism of Data Storage Based on Blockchain for Wireless Sensor Networks

An Unlinkable Authentication Scheme for Distributed IoT Application

Security Framework for Managing Data Security within Point of Care Tests

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