Internet of things: Privacy issues revisited

Weber, Rolf H.

doi:10.1016/j.clsr.2015.07.002

Cited by 158 publications

(78 citation statements)

References 2 publications

(2 reference statements)

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“…Data privacy is always a concern when applications deal with sensitive data. Weber [16] and Perera et al [17] present concerns related to data privacy in IoT, with main challenges and some efforts performed by EU as an attempt to regulate privacy and data protection. For Weber, the main concern is the management of great quantity of generated data in order to secure storage and communication.…”

Section: Related Workmentioning

confidence: 99%

Achieving Data Dissemination with Security using FIWARE and Intel Software Guard Extensions (SGX)

Valadares

Silva

Brito

et al. 2018

2018 IEEE Symposium on Computers and Communications (ISCC)

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The Internet of Things (IoT) field has gained much attention from industry and academia, being the main subject for numerous research and development projects. Frequently, the dense amount of generated data from IoT applications is sent to a cloud service, that is responsible for processing and storage. Many of these applications demand security and privacy for their data because of their sensitive nature. This is specially true when such data must be processed in entities hosted in public clouds, where the environment in which applications run may not be trusted. Some concerns are then raised since it is not trivial to provide the needed protection for these sensitive data. We present a solution that considers the security components of FIWARE and the Intel SGX capabilities. FIWARE is a platform created to support the development of Smart Applications, including IoT systems, and SGX is the Intel solution for Trusted Execution Environment (TEE). We propose a new component for key management that, together with other FIWARE components, can be used to provide privacy, confidentiality, and integrity guarantees for IoT data. A case study illustrates how this proposed solution can be employed in a realistic scenario, which allows the dissemination of sensitive data through public clouds without risking privacy issues. The results of the experiments provide evidence that our approach does not harm scalability or availability of the system. In addition, it presents acceptable memory costs when considering the benefit of the privacy guarantees achieved.

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Section: Related Workmentioning

confidence: 99%

Achieving Data Dissemination with Security using FIWARE and Intel Software Guard Extensions (SGX)

Valadares

Silva

Brito

et al. 2018

2018 IEEE Symposium on Computers and Communications (ISCC)

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“…Weber stated that an international regulation would be necessary due to the global nature of the IoT. However, in his later paper [41] Weber says, that an international regulatory framework is still missing. Suo et al [36] also note the need for security law and regulations to note the IoT, stating that the IoT is related to national security, business secrets and personal privacy and thus needs the legislative point of view to promote its development.…”

Section: Legislative Issuesmentioning

confidence: 99%

Security In The Internet Of Things - A Systematic Mapping Study

Porras¹,

Pänkäläinen²,

Knutas³

et al. 2018

Proceedings of the 51st Hawaii International Conference on System Sciences

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The Internet of Things (IoT) concept is emerging and evolving rapidly. Various technical solutions for multiple purposes have been proposed for its implementation. The rapid evolution and utilization of IoT technologies has raised security concerns and created a feeling of uncertainty among IoT adopters. The purpose of this paper is to examine the current research trends related to security concerns of the IoT concept and provide a detailed understanding of the topic. We thus applied systematic mapping study as the methodological approach. Based on the chosen search strategy, 38 articles (of close to 3500 articles in the field) were selected for a closer examination. Out of these articles, the concerns, solutions and research gaps for the security in the IoT concept were extracted. The mapping study identifies nine main concerns and 11 solutions. However, the findings also reveal challenges, such as secure privacy management and cloud integration that still require efficient solutions.

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“…Standardization: In order to avoid the wrong usage of critical information [4], the requirement is on the protection of sensible data and the use of it without authorization [45,46] have block the manipulation of existent IoT's platforms. Privacy: People does not feel entrusted with the idea of sharing personal data with the world, they believe in technology but not in its managers [3,47].…”

Section: Information Transmission In Big Datamentioning

confidence: 99%