Uncovering Practical Security and Privacy Threats for Connected Glasses with Embedded Video Cameras

Author:

Opaschi Octav1,Vatavu Radu-Daniel2

Affiliation:

1. MintViz Lab | MANSiD Center, University Ştefan cel Mare of Suceava, Suceava, Romania, Detack GmbH, Ludwigsburg, Germany, DE

2. MintViz Lab | MANSiD Center, University Ştefan cel Mare of Suceava, Suceava, Romania

Abstract

We address in this work security and privacy threats for connected camera glasses, for which very few investigations have been conducted so far, despite the considerable attention to understanding security concerns for other wearables, such as smartwatches and fitness trackers. To raise awareness about such threats, we present the results of a case study involving a low-cost spy camera glasses device, readily available on the market, that can be used to record and stream live video, for which we demonstrate infringement of several privacy requirements (regarding the camera glasses device itself, the data collected by the embedded video camera, the wearer of the device, and for bystanders as well) that lead to corresponding security threats (e.g., data confidentiality, integrity, availability, and access control). To foster replicability and reproducibility of our empirical results, investigation method, and implementation of attacks, we describe our case study in the form of a detailed activity log and release full C++ code implementing our approach. Furthermore, we present our findings to three IT security experts and summarize their recommendations for designing more secure connected camera glasses.

Funder

Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture,Human-Computer Interaction

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Toward Privacy-Preserving Localization and Mapping in eXtended Reality: A Privacy Threat Model;2023 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit);2023-06-06

2. Otus: A Gaze Model-based Privacy Control Framework for Eye Tracking Applications;IEEE INFOCOM 2022 - IEEE Conference on Computer Communications;2022-05-02

3. How Do HCI Researchers Describe Their Software Tools? Insights From a Synopsis Survey of Tools for Multimodal Interaction;Companion Publication of the 2021 International Conference on Multimodal Interaction;2021-10-18

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