A proposal to improve the authentication process in m-health environments

Guillén‐Gámez, Francisco D.; García‐Magariño, Iván; Bravo‐Agapito, Javier; Lacuesta, Raquel; Lloret, Jaime

doi:10.1109/access.2017.2752176

Cited by 14 publications

(9 citation statements)

References 47 publications

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“…For this reason, any company or medical institution that uses wearable devices to monitor and save medical parameters of its patients should seek solutions, together with their creators, in order not to lose information and confidentiality of use [37][38][39]. Different investigations have analysed users' perception about the possible loss of privacy of their medical data when using wearable devices.…”

Section: Development Of Instruments To Measure the Acceptance Ofmentioning

confidence: 99%

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Empirical Study Based on the Perceptions of Patients and Relatives about the Acceptance of Wearable Devices to Improve Their Health and Prevent Possible Diseases

Guillén‐Gámez

Mayorga-Fernández

2019

Mobile Information Systems

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In recent years, there has been a technological revolution affecting all areas of life, including health. Following this trend, a series of electronic devices called wearable technology have emerged with the aim of improving the quality of people’s life. These devices are made up of tools that help to prevent the development of chronic diseases and fight against the aging of society by monitoring the vital signs of users. Despite the advantages of using these devices from medical and health points of view, it is necessary to know the opinion of users regarding their use. For this reason, this study has been proposed. The purpose of this study is to analyse the perceptions of the subjects involved in the research regarding the acceptance of wearable devices, taking into account variables, such as age and gender. To this end, a nonexperimental, ex post facto design has been composed that combines descriptive and inferential techniques, with a sample of 606 patients and relatives belonging to a public health centre in the community of Madrid.

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Section: Development Of Instruments To Measure the Acceptance Ofmentioning

confidence: 99%

“…erefore, according to different authors, it is necessary to focus on increasing confidentiality and the avoidance of possible hacks to lose information [37]. One of the possible solutions to introduce this identification and authentication could be biometric science, specifically facial authentication [61].…”

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confidence: 99%

Empirical Study Based on the Perceptions of Patients and Relatives about the Acceptance of Wearable Devices to Improve Their Health and Prevent Possible Diseases

Guillén‐Gámez

Mayorga-Fernández

2019

Mobile Information Systems

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“…This unknown classification also referred as 'impossible to classify' output by other authors is quite common in classification and authentication literature. For example, frequently facial-authentication applications neither can verify or reject a person identity if they are not able to properly detect the faces [24]. In our experimental results, we observed that all the normal usages were classified either as normal usages (96.5% of the cases) or as unknown (i.e.…”

Section: Discussionmentioning

confidence: 70%

Defenses Against Perception-Layer Attacks on IoT Smart Furniture for Impaired People

2020

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Internet of Things (IoT) is becoming highly supportive in innovative technological solutions for assisting impaired people. Some of these IoT solutions are still in a prototyping phase ignoring possible attacks and the corresponding security defenses. This article proposes a learning-based approach for defending against perception-layer attacks performed on specific sensor types in smart furniture for impaired people. This approach is based on the analysis of time series by means of dynamic time warping algorithm for calculating similarity and a novel detector for identifying anomalies. This approach has been illustrated by defending against simulated perception-layer magnetic attacks on a smart cupboard with door magnetic sensors. The results show the performance of the proposed approach for properly identifying these attacks. In particular, these results advocate an accuracy about 95.5% per day.

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“…One limitation of the current version of the SC is that it is based on the assumption that there is only one person using the SC to reliably measure their memory. We plan to overcome this limitation by including an identification mechanism, which could either be (1) facial identification with a low-cost camera following our previous work in facial authentication [26] or (2) radio-frequency identification, which would require the user to carry a card for the identification. We will select one of these options considering economic aspects, technological reliability, and user experience.…”

Section: Discussionmentioning

confidence: 99%

Smart Cupboard for Assessing Memory in Home Environment

González-Landero¹,

García‐Magariño

Amariglio

et al. 2019

Sensors

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Sensor systems for the Internet of Things (IoT) make it possible to continuously monitor people, gathering information without any extra effort from them. Thus, the IoT can be very helpful in the context of early disease detection, which can improve peoples’ quality of life by applying the right treatment and measures at an early stage. This paper presents a new use of IoT sensor systems—we present a novel three-door smart cupboard that can measure the memory of a user, aiming at detecting potential memory losses. The smart cupboard has three sensors connected to a Raspberry Pi, whose aim is to detect which doors are opened. Inside of the Raspberry Pi, a Python script detects the openings of the doors, and classifies the events between attempts of finding something without success and the events of actually finding it, in order to measure the user’s memory concerning the objects’ locations (among the three compartments of the smart cupboard). The smart cupboard was assessed with 23 different users in a controlled environment. This smart cupboard was powered by an external battery. The memory assessments of the smart cupboard were compared with a validated test of memory assessment about face–name associations and a self-reported test about self-perceived memory. We found a significant correlation between the smart cupboard results and both memory measurement methods. Thus, we conclude that the proposed novel smart cupboard successfully measured memory.

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A proposal to improve the authentication process in m-health environments

Cited by 14 publications

References 47 publications

Empirical Study Based on the Perceptions of Patients and Relatives about the Acceptance of Wearable Devices to Improve Their Health and Prevent Possible Diseases

Empirical Study Based on the Perceptions of Patients and Relatives about the Acceptance of Wearable Devices to Improve Their Health and Prevent Possible Diseases

Defenses Against Perception-Layer Attacks on IoT Smart Furniture for Impaired People

Smart Cupboard for Assessing Memory in Home Environment

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