Secure and Privacy-Preserving Data Communication in Internet of Things

2017 ◽  
Author(s):  
Liehuang Zhu ◽  
Zijian Zhang ◽  
Chang Xu
Keyword(s):  
Internet Of Things ◽  
Data Communication ◽  
Privacy Preserving

Synthesising Privacy by Design Knowledge Toward Explainable Internet of Things Application Designing in Healthcare

2021 ◽  
Vol 17 (2s) ◽  
pp. 1-29
Author(s):  
Lamya Alkhariji ◽  
Nada Alhirabi ◽  
Mansour Naser Alraja ◽  
Mahmoud Barhamgi ◽  
Omer Rana ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Conceptual Understanding ◽  
Knowledge Engineering ◽  
Privacy Preserving ◽  
Design Knowledge ◽  
Privacy By Design ◽  
Healthcare Applications ◽  
Software Developers ◽  
Healthcare Application ◽  
Application Design

Privacy by Design (PbD) is the most common approach followed by software developers who aim to reduce risks within their application designs, yet it remains commonplace for developers to retain little conceptual understanding of what is meant by privacy. A vision is to develop an intelligent privacy assistant to whom developers can easily ask questions to learn how to incorporate different privacy-preserving ideas into their IoT application designs. This article lays the foundations toward developing such a privacy assistant by synthesising existing PbD knowledge to elicit requirements. It is believed that such a privacy assistant should not just prescribe a list of privacy-preserving ideas that developers should incorporate into their design. Instead, it should explain how each prescribed idea helps to protect privacy in a given application design context—this approach is defined as “Explainable Privacy.” A total of 74 privacy patterns were analysed and reviewed using ten different PbD schemes to understand how each privacy pattern is built and how each helps to ensure privacy. Due to page limitations, we have presented a detailed analysis in Reference [3]. In addition, different real-world Internet of Things (IoT) use-cases, including a healthcare application, were used to demonstrate how each privacy pattern could be applied to a given application design. By doing so, several knowledge engineering requirements were identified that need to be considered when developing a privacy assistant. It was also found that, when compared to other IoT application domains, privacy patterns can significantly benefit healthcare applications. In conclusion, this article identifies the research challenges that must be addressed if one wishes to construct an intelligent privacy assistant that can truly augment software developers’ capabilities at the design phase.

Privacy-Preserving Blockchain-Based Federated Learning for Marine Internet of Things

2021 ◽  
pp. 1-15
Author(s):  
Zhenquan Qin ◽  
Jin Ye ◽  
Jie Meng ◽  
Bingxian Lu ◽  
Lei Wang
Keyword(s):  
Internet Of Things ◽  
Privacy Preserving

scholarly journals A Privacy-Preserving Message Forwarding Framework with key caching for low latency

2019 ◽  
Vol 8 (12) ◽  
pp. 886-895
Keyword(s):  
Internet Of Things ◽  
Privacy Preserving ◽  
Low Latency ◽  
Assessment Procedure ◽  
Communication Effectiveness ◽  
Extrapolation Procedure ◽  
Transmission Process ◽  
Cloud Server ◽  
Conventional Methods

For exchanging messages over opportunistic exchanges in cloud calculating-empowered Internet of Things (IoT), opportunistic Cloud of Things (CoT) is encouraging for customers by means of an emergent conveying policy. In recent times, for predicting upcoming interactions by the determination of enlightening message promoting effectiveness as well as system quantity, several informally-awake structures have been placed onward, influencing consumers’ communal features as well as interaction account. Nevertheless, in the extrapolation procedure as well as communication phase of unprincipled CoT distinct secrecy remains commonly ignored. Towards assuring distinct secrecy as well as improving communication effectiveness, in this broadsheet, we develop a secrecy preservative communication promoting context aimed at unprincipled CoT. For improving transmission effectiveness of incurable customers, we mainly assemble twofold-level design of a cloud server. The proposed method can efficiently safeguard distinct secrecy through incorporating a safety-centered flexibility extrapolation procedure using an overpowering assessment procedure. This paper also introduces data key caching to reduce the latency during the transmission process. The proposed method outperforms the conventional methods.

scholarly journals Efficient and Privacy-Preserving Medical Data Sharing in Internet of Things With Limited Computing Power

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 28019-28027 ◽  
Author(s):  
Dong Zheng ◽  
Axin Wu ◽  
Yinghui Zhang ◽  
Qinglan Zhao
Keyword(s):  
Internet Of Things ◽  
Data Sharing ◽  
Privacy Preserving ◽  
Medical Data ◽  
Computing Power
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