Enabling Bluetooth Low Energy auditing through synchronized tracking of multiple connections

Arroyo, Jose R. Gutierrez del; Bindewald, Jason M.; Graham, Steve; Rice, Mason

doi:10.1016/j.ijcip.2017.03.006

Cited by 8 publications

(3 citation statements)

References 3 publications

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“…First, most of these sniffers can only monitor one connection at a time. Del Arroyo et al [18] proposed an opportunistic algorithm based on a scheduler in the Ubertooth One to monitor multiple connections simultaneously, but the underlying outdated hardware limits this work and may miss some packets depending on the environment. Second, most existing implementations are unstable, partially because of the use of various heuristics unsuitable for some devices (e.g., frequent channel map updates).…”

Section: Related Work 81 State Of the Artmentioning

confidence: 99%

OASIS: An Intrusion Detection System Embedded in Bluetooth Low Energy Controllers

Cayre,

Nicomette,

Auriol

et al. 2024

Proceedings of the 19th ACM Asia Conference on Computer and Communications Security

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Section: Related Work 81 State Of the Artmentioning

confidence: 99%

OASIS: An Intrusion Detection System Embedded in Bluetooth Low Energy Controllers

Cayre,

Nicomette,

Auriol

et al. 2024

Proceedings of the 19th ACM Asia Conference on Computer and Communications Security

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“…As above, many IoT applications require broadcasting for short messages, which can be ful lled by broadcasting as per the Eddystone-UID frame by BLE Beacon. The Eddystone-UID is a good protocol design in all senses except security, the de ned standard does not have any provision for con dentiality and data integrity, and anyone can get the broadcasted messages [25]. To overcome the security-related issues here we have proposed an extension to the Eddystone-UID frame to be used at the application layer of the communications stack.…”

Section: Protocol Designmentioning

confidence: 99%

Eddystone-UID Frame with Data Confidentiality and Integrity for Secured Data Broadcasting by BLE Beacons

Gulhane

Padiya

2022

Preprint

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Beacons are small-sized embedded devices that periodically broadcasts radio frequency (RF) signals without establishing a connection so that any other Bluetooth-equipped device/s in the range can receive the broadcasted data, but some applications desired that data should be observed only by an authenticated receiver. The beacon specification does not have any authentication mechanism, anyone can observe broadcasted information. Beacon has very limited security provisions, as any observer can receive the signal and also easily get the message. This research defined an extension of Google Eddystone-UID for secured data broadcasting without affecting regular operations. The proposed “Extended Eddystone-UID Frame” assures secured broadcasting by performing the data cryptography and data integrity. The experiment concluded that the proposed frame does not add any extra bytes, therefore, it does not require any more time and energy, and it is capable to broadcast data securely at the same time and energy as standard protocol required.

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“…The distributed positioning method does needn't a powerful server for calculation and communication. A mobile platform with weak computing ability can satisfy the requirements of multi-users and real-time indoor positioning [11].…”

Section: Introductionmentioning

confidence: 99%

A fast distributed indoor positioning based on received signal strength index

Liang¹,

Liu²,

Cai³

et al. 2023

International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022)

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The ubiquitous WiFi makes it a location service infrastructure and attracts more attention now. We use the cubic spline interpolation method to interpolate the attenuation factor n, and a wide range of indoor corridor environments test results show that the cubic spline interpolation method is more conducive to achieving the precise distance. We also improved the classical trilateration positioning algorithm with a priori knowledge of the specific positioning environment. The improved positioning algorithm significantly reduces positioning errors and improves positioning accuracy. The positioning method is transferred to the embedded positioning node to make distributed positioning with lower calculation cost.

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Enabling Bluetooth Low Energy auditing through synchronized tracking of multiple connections

Cited by 8 publications

References 3 publications

OASIS: An Intrusion Detection System Embedded in Bluetooth Low Energy Controllers

OASIS: An Intrusion Detection System Embedded in Bluetooth Low Energy Controllers

Eddystone-UID Frame with Data Confidentiality and Integrity for Secured Data Broadcasting by BLE Beacons

A fast distributed indoor positioning based on received signal strength index

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