Cybersecurity Assessment of the Polar Bluetooth Low Energy Heart-rate Sensor

• URL: http://arxiv.org/abs/2404.16117v1
• Date: Wed, 24 Apr 2024 18:18:09 GMT
• Title: Cybersecurity Assessment of the Polar Bluetooth Low Energy Heart-rate Sensor
• Authors: Smone Soderi,
• Abstract summary: Bluetooth low energy (BLE) is a low-power protocol widely used in wireless personal area networks (WPANs) This paper analyzes the security vulnerabilities of a BLE heart-rate sensor. Case-study shows that an attacker can easily intercept and manipulate the data transmitted between the mobile app and the BLE device.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: Wireless communications among wearable and implantable devices implement the information exchange around the human body. Wireless body area network (WBAN) technology enables non-invasive applications in our daily lives. Wireless connected devices improve the quality of many services, and they make procedures easier. On the other hand, they open up large attack surfaces and introduces potential security vulnerabilities. Bluetooth low energy (BLE) is a low-power protocol widely used in wireless personal area networks (WPANs). This paper analyzes the security vulnerabilities of a BLE heart-rate sensor. By observing the received signal strength indicator (RSSI) variations, it is possible to detect anomalies in the BLE connection. The case-study shows that an attacker can easily intercept and manipulate the data transmitted between the mobile app and the BLE device. With this research, the author would raise awareness about the security of the heart-rate information that we can receive from our wireless body sensors.

Related papers

• Preventing Radio Fingerprinting through Friendly Jamming [5.074726108522963]
  Radio frequency fingerprinting enables a passive receiver to recognize and authenticate a transmitter without the need for cryptographic tools. We examine the hostile usage of radio frequency fingerprinting, which facilitates the unauthorized tracking of wireless devices in the field by malicious entities. We suggest a method to sanitize the transmitted signal of its fingerprint using a jammer, deployed on purpose to improve devices' anonymity on the channel.
  arXiv  Detail & Related papers  (2024-07-11T09:01:46Z)
• Differentiated Security Architecture for Secure and Efficient Infotainment Data Communication in IoV Networks [55.340315838742015]
  Negligence on the security of infotainment data communication in IoV networks can unintentionally open an easy access point for social engineering attacks. In particular, we first classify data communication in the IoV network, examine the security focus of each data communication, and then develop a differentiated security architecture to provide security protection on a file-to-file basis.
  arXiv  Detail & Related papers  (2024-03-29T12:01:31Z)
• Securing Bluetooth Low Energy: A Literature Review [3.623991611768582]
  Bluetooth Low Energy (BLE) technology, operating within the widely used 2.4 GHz ISM band, stands as a cornerstone in modern wireless communication frameworks. This paper delves into the foundational aspects of BLE, excluding niche components, to explore its core functionalities and pivotal role in diverse connectivity needs. Its versatility finds applications across consumer electronics, industrial automation, and healthcare, ensuring reliability and efficiency in safety-critical systems.
  arXiv  Detail & Related papers  (2024-02-24T23:08:44Z)
• Physical-Layer Semantic-Aware Network for Zero-Shot Wireless Sensing [74.12670841657038]
  Device-free wireless sensing has recently attracted significant interest due to its potential to support a wide range of immersive human-machine interactive applications. Data heterogeneity in wireless signals and data privacy regulation of distributed sensing have been considered as the major challenges that hinder the wide applications of wireless sensing in large area networking systems. We propose a novel zero-shot wireless sensing solution that allows models constructed in one or a limited number of locations to be directly transferred to other locations without any labeled data.
  arXiv  Detail & Related papers  (2023-12-08T13:50:30Z)
• Federated Graph Learning for Low Probability of Detection in Wireless Ad-Hoc Networks [36.82926581689718]
  Low probability of detection (LPD) has recently emerged as a means to enhance the privacy and security of wireless networks. We study a privacy-preserving and distributed framework based on graph neural networks to minimise the detectability of a wireless ad-hoc network as a whole.
  arXiv  Detail & Related papers  (2023-06-01T20:56:02Z)
• DensePose From WiFi [86.61881052177228]
  We develop a deep neural network that maps the phase and amplitude of WiFi signals to UV coordinates within 24 human regions. Our model can estimate the dense pose of multiple subjects, with comparable performance to image-based approaches.
  arXiv  Detail & Related papers  (2022-12-31T16:48:43Z)
• Task-Oriented Communications for NextG: End-to-End Deep Learning and AI Security Aspects [78.84264189471936]
  NextG communication systems are beginning to explore shifting this design paradigm to reliably executing a given task such as in task-oriented communications. Wireless signal classification is considered as the task for the NextG Radio Access Network (RAN), where edge devices collect wireless signals for spectrum awareness and communicate with the NextG base station (gNodeB) that needs to identify the signal label. Task-oriented communications is considered by jointly training the transmitter, receiver and classifier functionalities as an encoder-decoder pair for the edge device and the gNodeB.
  arXiv  Detail & Related papers  (2022-12-19T17:54:36Z)
• SoK: Secure Human-centered Wireless Sensing [3.9044773293857964]
  Human-centered wireless sensing (HCWS) aims to understand the fine-grained environment and activities of a human using the diverse wireless signals around him/her. The literature lacks a systematic understanding of the privacy vulnerabilities of wireless sensing and the defenses against them, resulting in the privacy-compromising HCWS design. First, we propose a signal processing pipeline to identify private information leakage and further understand the benefits and tradeoffs of wireless sensing-based inference attacks and defenses.
  arXiv  Detail & Related papers  (2022-11-22T08:36:56Z)
• Hands-on Wireless Sensing with Wi-Fi: A Tutorial [7.8774878397748065]
  This tutorial takes Wi-Fi sensing as an example. It introduces both the theoretical principles and the code implementation of data collection, signal processing, features extraction, and model design.
  arXiv  Detail & Related papers  (2022-06-20T01:53:35Z)
• Vision Meets Wireless Positioning: Effective Person Re-identification with Recurrent Context Propagation [120.18969251405485]
  Existing person re-identification methods rely on the visual sensor to capture the pedestrians. Mobile phone can be sensed by WiFi and cellular networks in the form of a wireless positioning signal. We propose a novel recurrent context propagation module that enables information to propagate between visual data and wireless positioning data.
  arXiv  Detail & Related papers  (2020-08-10T14:19:15Z)
• Mind the GAP: Security & Privacy Risks of Contact Tracing Apps [75.7995398006171]
  Google and Apple have jointly provided an API for exposure notification in order to implement decentralized contract tracing apps using Bluetooth Low Energy. We demonstrate that in real-world scenarios the GAP design is vulnerable to (i) profiling and possibly de-anonymizing persons, and (ii) relay-based wormhole attacks that basically can generate fake contacts.
  arXiv  Detail & Related papers  (2020-06-10T16:05:05Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.