Proximity as a service

Namiot, Dmitry; Sneps-Sneppe, Manfred

doi:10.1109/bcfic.2012.6217947

Cited by 26 publications

(15 citation statements)

References 8 publications

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“…Although the use Wi-Fi as a proximity base was already researched [17], transmitting OTPs as a part of Wi-Fi SSID seems to be a new idea; we were not able to identify any related or similar work in this area.…”

Section: Related Workmentioning

confidence: 76%

Beacon authpath: Augmented human path authentication

Huseynov

Seigneur

2016

2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)

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Abstract-BLE (Bluetooth Low Energy) beacons are being deployed in smart cities, especially to augment the shopping experience of customers in real outlets. Thus, humans as they walk in cities pass by different beacons and the sequence of beacons form a path. In this paper, we present how those augmented paths can authenticate a user in a secure way whereby the users can prove they have passed by a path, even with current unsecure beacons. We have built a prototype to validate this new authentication scheme with unsecure Estimote beacons. In addition, as an alternative to BLE, a similar system utilizing Wi-Fi to detect user proximity is reviewed as well.

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Section: Related Workmentioning

confidence: 76%

Beacon authpath: Augmented human path authentication

Huseynov

Seigneur

2016

2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)

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“…We may collect information about access points directly on the phone. It leads to some services like SpotEx [16]. Alternatively, we can use the information from mobile devices (from the same wireless module) -so called Wi-Fi probe request right on the server for server side processing.…”

Section: Fig 2 Sensorml Environment [12]mentioning

confidence: 98%

On Open Source Mobile Sensing

Namiot

Sneps-Sneppe²

2014

Lecture Notes in Computer Science

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Abstract. The paper discusses phone as a sensor model. For many applied tasks smart phones are an ideal platform for collecting and processing context-related data. The most popular example is, probably, computational social science. Phones can collect data for conducting various social researches about people's social behavior. This paper presents an attempt to describe and categorize existing open source libraries for mobile sensing, describe architecture and design patterns as well as discover directions for the future development.

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“…A system based on WIFI SSID is proposed by Namiot [5], [6] where SSID is used as a context-aware application concept. This paper describes using the information exchanged between access points and client devices to determine proximity data and using this proximity data to send promotional information, similar to Apple's iBeacon technology but based on Wi-Fi rather than BLE (Bluetooth Low Energy).…”

Section: Context-aware Application and Wi-fi Proximitymentioning

confidence: 99%