Secure and Efficient Data Communication Protocol for Wireless Body Area Networks

Hu, Chunqiang; Li, Hongjuan; Huo, Yan; Xiang, Tao; Liao, Xiaofeng

doi:10.1109/tmscs.2016.2525997

Cited by 117 publications

(91 citation statements)

References 38 publications

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“…KP ABE was adopted by [33] to broadcast a single encrypted message to a specific group of users. Reference [13] utilizes the Linear Secret Sharing to construct the access policy [22,34] and then enforce access control. However, most of the works done before have no implementation and real life performance analysis.…”

Section: Related Workmentioning

confidence: 99%

A Secure and Scalable Data Communication Scheme in Smart Grids

Liu

et al. 2018

Wireless Communications and Mobile Computing

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The concept of smart grid gained tremendous attention among researchers and utility providers in recent years. How to establish a secure communication among smart meters, utility companies, and the service providers is a challenging issue. In this paper, we present a communication architecture for smart grids and propose a scheme to guarantee the security and privacy of data communications among smart meters, utility companies, and data repositories by employing decentralized attribute based encryption. The architecture is highly scalable, which employs an access control Linear Secret Sharing Scheme (LSSS) matrix to achieve a role-based access control. The security analysis demonstrated that the scheme ensures security and privacy. The performance analysis shows that the scheme is efficient in terms of computational cost.

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Section: Related Workmentioning

confidence: 99%

A Secure and Scalable Data Communication Scheme in Smart Grids

Liu

et al. 2018

Wireless Communications and Mobile Computing

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“…The first one is the weakness or none of user anonymity [3,[5][6][7][8][9][10][11][12][13][14], which would cause being tracked easily. The second one is information leakage of the lost smart card [3,[6][7][8][9][10][11][12][13][14], which causes the attacker can do guesswork in a smaller space after extracting the information in the smart card. The third one is security recovery when system secret information is revealed [3, 5 -12], in which case, the system cannot update secret information conveniently because all users must register again.…”

Section: Advances In Computer Science Research Volume 44mentioning

confidence: 99%

“…From the top, the HWSN is divided into three layers, the gateway, the cluster head and the sensor nodes. Some protocols have been suggested on the security of HWSN [3,[5][6][7][8][9][10][11][12][13][14], in which several problems exist in the user authentication. After investigating the main technology of authentication, an enhanced secure anonymity user authentication protocol will be proposed by combing three factors of smart card, user password, and user biometrics in this paper.…”

Section: Introductionmentioning

confidence: 99%

An Enhanced Secure Anonymity User Authentication Protocol for Hierarchical Wireless Sensor Networks

Pan¹,

Chen²

2017

Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)

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Abstract-The security of hierarchical wireless sensor network (HWSN) attracts more attentions with the rapid deployment of HWSN recently. In this paper, the user authentication technology of HWSN is investigated and a more efficient and more secure user authentication protocol is proposed. Overcoming the main faults of the previous protocols, this enhanced protocol makes the improvements in achieving the strong anonymity, preventing the attackers of guessing the password of the lost smart card, and updating the secret information independently and quickly. The security of the protocol is verified by using the Rubin Logic method. The computation load is evaluated and is acceptable for the real systems.

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“…For example, more than 400, 000 electronic eyes in Beijing may lead to privacy leakage (e.g., vehicle location information) by data sharing in vehicular ad hoc networks (VANETs) [6][7][8]. Similarly, we can also gain illegal access to personal health datasets gathered from various sensors of physical sign in body sensor networks (BSNs) and publish these private data without permission [9][10][11]. As a result, how to protect user privacy is one of the important research issues in fog computing.…”

Section: Introductionmentioning

confidence: 99%

Re-ADP: Real-Time Data Aggregation with Adaptive ω-Event Differential Privacy for Fog Computing

Huo

Yong

2018

Wireless Communications and Mobile Computing

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In the Internet of Things (IoT), aggregation and release of real-time data can often be used for mining more useful information so as to make humans lives more convenient and efficient. However, privacy disclosure is one of the most concerning issues because sensitive information usually comes with users in aggregated data. Thus, various data encryption technologies have emerged to achieve privacy preserving. These technologies may not only introduce complicated computing and high communication overhead but also do not work on the protection of endless data streams. Considering these challenges, we propose a real-time stream data aggregation framework with adaptive -event differential privacy (Re-ADP). Based on adaptive -event differential privacy, the framework can protect any data collected by sensors over any dynamic time stamp successively over infinite stream. It is designed for the fog computing architecture that dramatically extends the cloud computing to the edge of networks. In our proposed framework, fog servers will only send aggregated secure data to cloud servers, which can relieve the computing overhead of cloud servers, improve communication efficiency, and protect data privacy. Finally, experimental results demonstrate that our framework outperforms the existing methods and improves data availability with stronger privacy preserving.

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Secure and Efficient Data Communication Protocol for Wireless Body Area Networks

Cited by 117 publications

References 38 publications

A Secure and Scalable Data Communication Scheme in Smart Grids

A Secure and Scalable Data Communication Scheme in Smart Grids

An Enhanced Secure Anonymity User Authentication Protocol for Hierarchical Wireless Sensor Networks

Re-ADP: Real-Time Data Aggregation with Adaptive ω-Event Differential Privacy for Fog Computing

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