MoLe

Wang, He; Lai, Ted Tsung-Te; Choudhury, Romit Roy

doi:10.1145/2789168.2790121

Cited by 188 publications

(17 citation statements)

References 12 publications

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“…One line of studies even showed a privacy risk caused by the keystroke inference attacks. These attacks are realized by analyzing users' hand movements tracked by sensors (e.g., accelerometer) built in the smartwatches, which makes it possible to accurately collect the inputs information on keyboards (Liu, Zhou, Diao, Li, & Zhang, ; Maiti, Armbruster, Jadliwala, & He, ; Maiti, Jadliwala, He, & Bilogrevic, ; Wang, Guo, Wang, Chen, & Liu, ; Wang, Lai, & Roy Choudhury, ). Unfortunately, a recent survey showed that most of the users were unaware of the new type of motion‐sensor‐based threat to their privacy (Crager & Maiti, ).…”

Section: Resultsmentioning

confidence: 99%

“…These attacks are realized by analyzing users' hand movements tracked by sensors (e.g., accelerometer) built in the smartwatches, which makes it possible to accurately collect the inputs information on keyboards (Liu, Zhou, Diao, Li, & Zhang, 2015;Maiti, Armbruster, Jadliwala, & He, 2016;Maiti, Jadliwala, He, & Bilogrevic, 2015;Wang, Guo, Wang, Chen, & Liu, 2016;Wang, Lai, & Roy Choudhury, 2015).…”

Section: Privacy Risksmentioning

confidence: 99%

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A review on intelligent wearables: Uses and risks

Xue¹

2019

Human Behav and Emerg Tech

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Intelligent wearable technology is becoming very popular in application fields such as clinical medicine and healthcare, health management, workplaces, education, and scientific research. Using the four‐element model of technological behavior, the first part of this review briefly introduces issues related to the uses of intelligent wearables, including the technologies (i.e., what kind of intelligent wearables are used?), the users (i.e., who use intelligent wearables?), the activities involving the technologies (i.e., in what activities or fields intelligent wearables are used?), and the effects of technology usages (i.e., what benefits intelligent wearables bring?). The second part of this review focuses on the risks of using intelligent wearables. This part summarized five common risks (i.e., privacy risks, safety risks, performance risks, social and psychological risks, and other risks) in the use of intelligent wearables. The review ends with a discussion of future research.

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Section: Resultsmentioning

confidence: 99%

Section: Privacy Risksmentioning

confidence: 99%

A review on intelligent wearables: Uses and risks

Xue¹

2019

Human Behav and Emerg Tech

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“…As wearable devices, such as the glasses from Andrew's story, become more complex and diverse due to industry manufacturers striving to deliver more features and functionality to users at lower costs, it is unsuspecting and uninformed users of such devices, as well as bystanders, that become exposed to a wider range of potential security and privacy attacks from malicious parties [30,66,93]. But glasses are not the only wearables that can become targets of such attacks: smartwatches, fitness trackers, and armbands have been repeatedly exposed in the scientific literature as being unsecure [6,15,20,30,81,94,94]. However, unlike smartwatches and fitness trackers, for which a large body of literature has uncovered many security threats and proposed defense mechanisms, similar systematic investigations for glasses are lacking.…”

Section: :2 • Opaschi and Vatavumentioning

confidence: 99%

“…The advent of wearables that publicly advertise their presence in the radio spectrum, share the data they collect with connected devices or with services from the cloud, and register to unsecured local networks, demands dedicated attention to the privacy and security threats to which they expose their users. Some of those security threats have been recently uncovered for smartwatches [81,93,94], fitness trackers [6,15,20,30], and smart armbands [103], but considerably less attention has been devoted to examine the security of video streaming camera glasses. Regarding the latter, the main focus of research has been the privacy of bystanders and their reactions to wearers of such devices [23,25,43,[48][49][50].…”

Section: Related Workmentioning

confidence: 99%

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

Opaschi

Vatavu

2020

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

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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.

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“…Recognition accuracy in sentences. To evaluate WiMorse in real-world sentences input, we collected CSI data for six different sentences from previous literatures [38], [39]: S1 = "the quick brown fox jumps over the lazy dog", S2 = "nobody knew why the candles blew out", S3 = "the autumn leaves look like golden snow", S4 = "nothing is as profound as the imagination", S5 = "my small pet mouse escaped from his cage" and S6 = "the most profound technologies are those that disappear". Each sentence is typed 3 times without spaces.…”

Section: B Overall Performancementioning

confidence: 99%

WiMorse: A Contactless Morse Code Text Input System Using Ambient WiFi Signals

Niu

Zhang

Jiang

et al. 2019

IEEE Internet Things J.

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Recent years have witnessed advances of Internet of Things (IoT) technologies and their applications to enable contactless sensing and human-computer interaction in smart homes. For people with Motor Neurone Disease (MND), their motion capabilities are severely impaired and they have difficulties interacting with IoT devices and even communicating with other people. As the disease progresses, most patients lose their speech function eventually which makes the widely adopted voicebased solutions fail. In contrast, most patients can still move their fingers slightly even after they have lost the control of their arms and hands. Thus we propose to develop a Morse code based text input system, called WiMorse, which allows patients with minimal single-finger control to input and communicate with other people without attaching any sensor to their fingers. WiMorse leverages ubiquitous commodity WiFi devices to track subtle finger movements contactlessly and encode them as Morse code input. In order to sense the very subtle finger movements, we propose to employ the ratio of the Channel State Information (CSI) between two antennas to enhance the Signal to Noise Ratio. To address the severe location dependency issue in wireless sensing with accurate theoretical underpinning and experiments, we propose a signal transformation mechanism to automatically convert signals based on the input position, achieving stable sensing performance. Comprehensive experiments demonstrate that WiMorse can achieve higher than 95% recognition accuracy for finger generated Morse code, and is robust against input position, environment changes, and user diversity.

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MoLe

Cited by 188 publications

References 12 publications

A review on intelligent wearables: Uses and risks

A review on intelligent wearables: Uses and risks

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

WiMorse: A Contactless Morse Code Text Input System Using Ambient WiFi Signals

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