IoT Data Profiles: The Routines of Your Life Reveals Who You Are

Fernquist, Johan; Fängström, Torbjörn; Kaati, Lisa

doi:10.1109/eisic.2017.17

Cited by 7 publications

(5 citation statements)

References 10 publications

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“…In [1], the authors presented a study on the identification of users from the data profiles that are generated by their devices. The authors collected information about when, where, and how users use their networked devices to obtain time and event profiles.…”

Section: Related Workmentioning

confidence: 99%

“…When considering access technologies in the environment, the author of [4] introduces a dynamic process in the decision to grant access to users in the environment. The solution that is presented in [1] stands out for using communication between IoT devices to identify user profiles. In this article, we propose an approach that differs from the others by managing the privacy profile in smart environments with a system that allows for the evolution of the user profile in different scenarios.…”

Section: Related Workmentioning

confidence: 99%

“…Many contemporary activities rely on the use of smartphones and other smart mobile devices (SMDs)-e.g., tablets, smartwatches-to promote a better quality of life [1]. Besides, the technological advances enable adding more sensors to these devices and intelligence to our day-to-day environments, which became smart environments.…”

Section: Introductionmentioning

confidence: 99%

“…Several works have presented proposals for identifying users from their devices [1], creating social communities based on the user's context, profile and social networks [3], authentication of users with guaranteed privacy and access control in smart environments [4][5][6][7], and the detection of groups and activities in smart buildings [8], among others. In this context, in [9], the author presented the middleware UbiPri (Ubiquitous Privacy) for the control and management of data privacy based on a generic model.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

PRIPRO—Privacy Profiles: User Profiling Management for Smart Environments

et al. 2020

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Smart environments are pervasive computing systems that provide higher comfort levels on daily routines throughout interactions among smart sensors and embedded computers. The lack of privacy within these interactions can lead to the exposure of sensitive data. We present PRIPRO (PRIvacy PROfiles), a management tool that includes an Android application that acts on the user’s smartphone by allowing or blocking resources according to the context, in order to address this issue. Back-end web server processes and imposes a protocol according to the conditions that the user selected beforehand. The experimental results show that the proposed solution successfully communicates with the Android Device Administration framework, and the device appropriately reacts to the expected set of permissions imposed according to the user’s profile with low response time and resource usage.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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PRIPRO—Privacy Profiles: User Profiling Management for Smart Environments

et al. 2020

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“…Even in cases where consumers agree to the collection of data for a specific application, it is difficult for them to perceive the number of ways that data may be used in the future. The work of [4] investigates the possibilities to recognise a user based on when they communicate, what kind of applications they use, the type of devices they are surrounded by and their geographical location.…”

Section: Introductionmentioning

confidence: 99%

Utilizing Blockchain for IoT Privacy through Enhanced ECIES with Secure Hash Function

et al. 2022

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Blockchain technology has been widely advocated for security and privacy in IoT systems. However, a major impediment to its successful implementation is the lack of privacy protection regarding user access policy while accessing personal data in the IoT system. This work aims to preserve the privacy of user access policy by protecting the confidentiality and authenticity of the transmitted message while obtaining the necessary consents for data access. We consider a Modified Elliptic Curve Integrated Encryption Scheme (ECIES) to improve the security strength of the transmitted message. A secure hash function is used in conjunction with a key derivation function to modify the encryption procedure, which enhances the efficiency of the encryption and decryption by generating multiple secure keys through one master key. The proposed solution eliminates user-dependent variables by including transaction generation and verification in the calculation of computation time, resulting in increased system reliability. In comparison to previously established work, the security of the transmitted message is improved through a reduction of more than 12% in the correlation coefficient between the constructed request transaction and encrypted transaction, coupled with a decrease of up to 7% in computation time.

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