Wearable devices are becoming increasingly versatile by enhancing their functionality through various sensors and interfaces. The advent of compact artificial intelligence (AI) accelerators, such as Analog MAX780001 and Google Coral Micro,2 is making these devices smarter by enabling AI even in small wearable devices. Considering the exponential growth of wearables, we envision a new class of applications that leverage an on-the-fly collaboration of these wearable devices, as shown in Figure 1. This collaboration harnesses the collective strengths of the wearable ecosystem, enabling even simple devices to provide enriched services. For example, an application can seamlessly monitor a variety of health and activity levels by dynamically combining various sensors on distributed wearables, such as fitness bands, smartwatches, and hearing aids, based on their availability. Similarly, the application can provide alerts via different interfaces dynamically, e.g., voice feedback when earbuds are in use or haptic feedback when a smart ring is detected.
Abstract:
We propose a novel security protocol for on-the-fly collaboration among wearables, addressing significant security challenges, such as data exposure and false information...Show MoreNotes: IEEE Xplore ® Notice to Reader: The document “Emerging Paradigms in Wearable Security: Adaptable and Secure Sandboxing for On-the-Fly Collaboration Among Wearables” by Diana A. Vasile, Fahim Kawsar, and Chulhong Min published in IEEE Security & Privacy Early Access Digital Object Identifier: 10.1109/MSEC.2024.3440198 will become available for viewing after November 7, 2024 due to a patent issue. We regret any inconvenience this may have caused. Sean Peisert Editor-in-Chief IEEE Security & Privacy
Metadata
Abstract:
We propose a novel security protocol for on-the-fly collaboration among wearables, addressing significant security challenges, such as data exposure and false information injection. Leveraging wearables’ position on the body, our protocol ensures secure collaboration and enables new possibilities for ubiquitous computing.
Notes: IEEE Xplore ® Notice to Reader: The document “Emerging Paradigms in Wearable Security: Adaptable and Secure Sandboxing for On-the-Fly Collaboration Among Wearables” by Diana A. Vasile, Fahim Kawsar, and Chulhong Min published in IEEE Security & Privacy Early Access Digital Object Identifier: 10.1109/MSEC.2024.3440198 will become available for viewing after November 7, 2024 due to a patent issue. We regret any inconvenience this may have caused. Sean Peisert Editor-in-Chief IEEE Security & Privacy
Published in: IEEE Security & Privacy ( Volume: 22, Issue: 6, Nov.-Dec. 2024)
Nokia Bell Labs, Cambridge, U.K.
Diana A. Vasile is a research scientist at Nokia Bell Labs, CB3 0FA Cambridge, U.K. Her research interests include trust establishment, transparency, and privacy. Vasile received a Ph.D. in computer science from the University of Cambridge. She is a Member of IEEE. Contact her at diana-alexandra.vasile@nokia-bell-labs.com.
Diana A. Vasile is a research scientist at Nokia Bell Labs, CB3 0FA Cambridge, U.K. Her research interests include trust establishment, transparency, and privacy. Vasile received a Ph.D. in computer science from the University of Cambridge. She is a Member of IEEE. Contact her at diana-alexandra.vasile@nokia-bell-labs.com.View more
Nokia Bell Labs, Cambridge, U.K.
Fahim Kawsar leads the pervasive systems research at Nokia Bell Labs, CB3 0FA Cambridge, U.K., and holds a professorship at University of Glasgow, G12 8QQ Glasgow, U.K. His research interests include earables, sensory systems, Internet of Things, and computational behavior modeling. Kaswar received a Ph.D. in computer science from Waseda University. He is a Member of IEEE. Contact him at fahim.kawsar@nokia-bell-labs.com.
Fahim Kawsar leads the pervasive systems research at Nokia Bell Labs, CB3 0FA Cambridge, U.K., and holds a professorship at University of Glasgow, G12 8QQ Glasgow, U.K. His research interests include earables, sensory systems, Internet of Things, and computational behavior modeling. Kaswar received a Ph.D. in computer science from Waseda University. He is a Member of IEEE. Contact him at fahim.kawsar@nokia-bell-labs.com.View more
Nokia Bell Labs, Cambridge, U.K.
Chulhong Min is a principal research scientist and tech lead at Nokia Bell Labs, CB3 0FA Cambridge, U.K. His research interests include on-device artificial intelligence, embedded systems, and Internet of Things. Min received a Ph.D. in computer science from the Korea Advanced Institute of Science and Technology, South Korea. He is a Member of IEEE. Contact him at chulhong.min@nokia-bell-labs.com.
Chulhong Min is a principal research scientist and tech lead at Nokia Bell Labs, CB3 0FA Cambridge, U.K. His research interests include on-device artificial intelligence, embedded systems, and Internet of Things. Min received a Ph.D. in computer science from the Korea Advanced Institute of Science and Technology, South Korea. He is a Member of IEEE. Contact him at chulhong.min@nokia-bell-labs.com.View more
Nokia Bell Labs, Cambridge, U.K.
Diana A. Vasile is a research scientist at Nokia Bell Labs, CB3 0FA Cambridge, U.K. Her research interests include trust establishment, transparency, and privacy. Vasile received a Ph.D. in computer science from the University of Cambridge. She is a Member of IEEE. Contact her at diana-alexandra.vasile@nokia-bell-labs.com.
Diana A. Vasile is a research scientist at Nokia Bell Labs, CB3 0FA Cambridge, U.K. Her research interests include trust establishment, transparency, and privacy. Vasile received a Ph.D. in computer science from the University of Cambridge. She is a Member of IEEE. Contact her at diana-alexandra.vasile@nokia-bell-labs.com.View more
Nokia Bell Labs, Cambridge, U.K.
Fahim Kawsar leads the pervasive systems research at Nokia Bell Labs, CB3 0FA Cambridge, U.K., and holds a professorship at University of Glasgow, G12 8QQ Glasgow, U.K. His research interests include earables, sensory systems, Internet of Things, and computational behavior modeling. Kaswar received a Ph.D. in computer science from Waseda University. He is a Member of IEEE. Contact him at fahim.kawsar@nokia-bell-labs.com.
Fahim Kawsar leads the pervasive systems research at Nokia Bell Labs, CB3 0FA Cambridge, U.K., and holds a professorship at University of Glasgow, G12 8QQ Glasgow, U.K. His research interests include earables, sensory systems, Internet of Things, and computational behavior modeling. Kaswar received a Ph.D. in computer science from Waseda University. He is a Member of IEEE. Contact him at fahim.kawsar@nokia-bell-labs.com.View more
Nokia Bell Labs, Cambridge, U.K.
Chulhong Min is a principal research scientist and tech lead at Nokia Bell Labs, CB3 0FA Cambridge, U.K. His research interests include on-device artificial intelligence, embedded systems, and Internet of Things. Min received a Ph.D. in computer science from the Korea Advanced Institute of Science and Technology, South Korea. He is a Member of IEEE. Contact him at chulhong.min@nokia-bell-labs.com.
Chulhong Min is a principal research scientist and tech lead at Nokia Bell Labs, CB3 0FA Cambridge, U.K. His research interests include on-device artificial intelligence, embedded systems, and Internet of Things. Min received a Ph.D. in computer science from the Korea Advanced Institute of Science and Technology, South Korea. He is a Member of IEEE. Contact him at chulhong.min@nokia-bell-labs.com.View more