Attribute-Based Encryption for Preserving Smart Home Data Privacy

Chowdhury, Rasel; Ould-Slimane, Hakima; Talhi, Chamseddine; Cheriet, Mohamed

doi:10.1007/978-3-319-66188-9_16

Cited by 15 publications

(7 citation statements)

References 13 publications

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“…Studies explored, for example, importance of a safe usage of personal health data from the users [16]. From a more technical perspective, other researchers propose web services in order to raise SH user's privacy [17], encryption methods for preserving SH data privacy [18] or gateway architectures enhance users` privacy [19]. Other studies explored privacy hazards directly connected to the usage of an IoT based SH because of the networks between mobile devices of the users and SH infrastructure, like doors or windows (e.g., [2]).…”

Section: Sh and Related Literaturementioning

confidence: 99%

Privacy concerns in the smart home context

et al. 2020

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With the rapid development of the Internet of Things, intelligent systems are increasingly finding their way into everyday life and into people's homes. With the spread of these technologies, there is a growing concern about what sensitive data is collected and what it is used for. Unfortunately, the role of privacy has remained largely unexplored in the smart home (SH) usage context. This study addresses this gap in literature: to what extend users' concerns for information privacy influence the intended SH usage. This study takes an interactional psychology perspective and links the dimensions of the privacy concerns to the intention to use SH devices. Therefore, a multi-theoretical model using Smart PLS 3.2.8 was tested. This study contributes to the literature on privacy, and SH usage by exploring how and why privacy concerns influence participants' intended SH usage. The findings, derived from the empirical study emphasize the importance of addressing privacy concerns because they are capable of directly and indirectly influencing the intended SH usage. Finally, the results which indicate new directions for privacy and SH research are discussed and implications for research and practice are given.

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Section: Sh and Related Literaturementioning

confidence: 99%

Privacy concerns in the smart home context

et al. 2020

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“…Step 2: (7) and sends it to A . V then stores all of the data in the shared private blockchain, as shown in Fig.…”

Section: Signmentioning

confidence: 99%

“…Among the data generated by smart home systems, some information (such as meter data, which can be used to determine whether anyone is at home) is very personal and sensitive and must be protected to prevent the occurrence of abuses, such as illegal access and modification. However, recent reports have shown that existing smart devices do not sufficiently ensure data security or privacy [7,8,9], and critical security and privacy concerns related to data access issues have been raised [10,11,12,13]. This issue is further exacerbated by smart devices always being resource-limited.…”

Section: Introductionmentioning

confidence: 99%

Private Blockchain-Based Secure Access Control for Smart Home Systems

2018

KSII TIIS

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Smart home systems provide a safe, comfortable, and convenient living environment for users, whereby users enjoy featured home services supported by the data collected and generated by smart devices in smart home systems. However, existing smart devices lack sufficient protection in terms of data security and privacy, and challenging security and privacy issues inevitably emerge when using these data. This article aims to address these challenging issues by proposing a private blockchain-based access control (PBAC) scheme. PBAC involves employing a private blockchain to provide an unforgeable and auditable foundation for smart home systems, that can thwart illegal data access, and ensure the accuracy, integrity, and timeliness of access records. A detailed security analysis shows that PBAC could preserve data security against various attacks. In addition, we conduct a comprehensive performance evaluation to demonstrate that PBAC is feasible and efficient.

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“…For these reasons, in the last few years, a data-owner centric model has emerged in the literature for personal-data protection. According to the existing literature, the attributebased encryption (ABE) scheme Sahai & Waters (2005) is a viable way to enhance privacy in many domains like e-Health applications Kocabas et al (2016), Pussewalage & Oleshchuk (2016), Ould-Yahia et al (2018), smart home data privacy Chowdhury et al (2017) and data security in Cloud computing Namasudra (2017). In addition, to securing data transmission and storage, ABE provides a fine-grained access control and a flexible data distribution Li et al (2010), Hemalatha & Manickachezian (2014).…”

Section: Introductionmentioning

confidence: 99%

A data-owner centric privacy model with blockchain and adapted attribute-based encryption for internet-of-things and cloud environment

Boucheneb¹,

Banerjee²,

Yahia³

et al. 2022

IJICS

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Advances in Internet of Things (IoT) and cloud computing technologies have led to the emergence of new applications such as in e-Health domain bringing convenience for both physicians and patients. However, the development of these new technologies makes users' privacy vulnerable. The threats on private data may arise from service providers themselves voluntarily or by inadvertence. As a result, the data owner would like to ensure that the collected data are securely stored and accessed only by authorized users. In this paper, we propose a novel data-owner centric privacy model in IoT/cloud environment. Our model combines two promising paradigms for data privacy, which are Attribute-Based Encryption (ABE) and blockchain, to strengthen the data-owner privacy protection. We propose a new scheme of ABE that is, in one hand, suitable to resource-constrained devices by externalizing the computing capabilities, thanks to Fog computing paradigm and, in the other hand, combined with a blockchain-based protocol to overcome a single point of trust and to enhance data-owner access control.

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Attribute-Based Encryption for Preserving Smart Home Data Privacy

Cited by 15 publications

References 13 publications

Privacy concerns in the smart home context

Privacy concerns in the smart home context

Private Blockchain-Based Secure Access Control for Smart Home Systems

A data-owner centric privacy model with blockchain and adapted attribute-based encryption for internet-of-things and cloud environment

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