Bernhards Blumbergs, Ēriks Dobelis, Pēteris Paikens, Krišjānis Nesenbergs, Kirils Solovjovs and Artis Rušiņš . WearSec: Towards Automated Security Evaluation of Wireless Wearable Devices. Lecture Notes in Computer Science, 13700(), Springer Nature, 2022.
Bibtex citation:
Bibtex citation:
@inproceedings{13775_2022,
author = {Bernhards Blumbergs and Ēriks Dobelis and Pēteris Paikens and Krišjānis Nesenbergs and Kirils Solovjovs and Artis Rušiņš },
title = {WearSec: Towards Automated Security Evaluation of Wireless Wearable Devices},
journal = {Lecture Notes in Computer Science},
volume = {13700},
publisher = {Springer Nature},
year = {2022}
}
author = {Bernhards Blumbergs and Ēriks Dobelis and Pēteris Paikens and Krišjānis Nesenbergs and Kirils Solovjovs and Artis Rušiņš },
title = {WearSec: Towards Automated Security Evaluation of Wireless Wearable Devices},
journal = {Lecture Notes in Computer Science},
volume = {13700},
publisher = {Springer Nature},
year = {2022}
}
Abstract: Wearable devices are becoming more prevalent in the daily life of society, ranging from smartwatches, and fitness bracelets to accessories and headphones. These devices, both from their hardware manufacturing and wireless firmware development perspectives may possess drawbacks. In recent years security researchers have uncovered a series of vulnerabilities. In this paper we introduce the concept and describe the key ideas towards the development of an automated security evaluation prototype for wireless wearable devices using device fingerprinting, as well as passive and active vulnerability identification. Furthermore we describe the technical approaches, challenges, and implementation choices we faced while developing the first stages of the prototype for this concept and handling full-spectrum Bluetooth analysis with software-defined radio.
Quartile: Q2