Countermeasures

Haataja, Keijo; Hyppönen, Konstantin; Pasanen, Sanna; Toivanen, Pekka

doi:10.1007/978-3-642-40646-1_6

Cited by 3 publications

(3 citation statements)

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“…To the best of our knowledge, this is still the case in 2020. Haataja [3] presented a good overview of Bluetooth threats and possible countermeasures. In 2014, Huang et al proposed BlueID [5] that can recognize Bluetooth masters based on the skew of their hopping clock.…”

Section: Bluetooth Monitoringmentioning

confidence: 99%

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Bluetooth devices fingerprinting using low cost SDR

Helluy-Lafont

Boé

Grimaud

et al. 2020

2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC)

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Physical fingerprinting is a trending domain in wireless security. Those methods aim at identifying transmitters based on the subtle variations existing in their handling of a communication protocol. They can provide an additional authentication layer, hard to emulate, to improve the security of systems. Software Defined Radios (SDR) are a tool of choice for the fingerprinting, as they virtually enable the analysis of any wireless communication scheme. However, they require expensive computations, and are still complex to handle by newcomers. In this paper, we use low cost SDR to propose a physical-layer fingerprinting approach, that allows recognition of the model of a device performing a Bluetooth scan, with more than 99.8% accuracy in a set of ten devices.

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Section: Bluetooth Monitoringmentioning

confidence: 99%

“…However, we observe that the exact number of bits transmitted varies across different devices manufacturers. A small delay exists between the start of transmission, denoted by the amplitude rising, and the actual sending of the modulated data 3 .…”

Section: B Features Description 1) Preamble Durationmentioning

confidence: 99%

Bluetooth devices fingerprinting using low cost SDR

Helluy-Lafont

Boé

Grimaud

et al. 2020

2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC)

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“…The security provisions of the Bluetooth protocol specification and Bluetooth based communication system implementations have been studied extensively [9]. There are also several examples of novel attacks [10] and applications of known ones, such as man-in-the-middle [11] proposed for its different versions, each with varying degree of practicality and effectiveness. In particular for BLE, the focus of most security research is on the development of authentication or message authorisation mechanisms, e.g.…”

Section: Introductionmentioning

confidence: 99%

Evaluating the impact of malicious spoofing attacks on Bluetooth low energy based occupancy detection systems

Oliff

Filippoupolitis

Loukas

2017

2017 IEEE 15th International Conference on Software Engineering Research, Management and Applications (SERA)

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Abstract-Occupancy detection of a building has a wide range of applications. Areas such as emergency management, home automation and building energy management can benefit from the knowledge of occupants' locations to provide better results and improve their efficiency. Bluetooth Low Energy (BLE) beacons installed inside a building are able to provide information on an occupant's location. Since, however, their operation is based on broadcasting advertisements, they are vulnerable to network security breaches. In this work, we evaluate the effect of two types of spoofing attacks on a BLE based occupancy detection system. The system is composed of BLE beacons installed inside the building, a mobile application installed on occupants mobile phones and a remote control server. Occupancy detection is performed by a classifier installed on the remote server. We use our real-world experimental results to evaluate the impact of these attacks on the system's operation, particularly in terms of the accuracy with which it can provide location information.

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