DeepAI AI Chat
Log In Sign Up

Person Re-identification Attack on Wearable Sensing

by   Mohammad Arif Ul Alam, et al.

Person re-identification is a critical privacy attack in publicly shared healthcare data as per Health Insurance Portability and Accountability Act (HIPAA) privacy rule. In this paper, we investigate the possibility of a new type of privacy attack, Person Re-identification Attack (PRI-attack) on publicly shared privacy insensitive wearable data. We investigate user's specific biometric signature in terms of two contextual biometric traits, physiological (photoplethysmography and electrodermal activity) and physical (accelerometer) contexts. In this regard, we develop a Multi-Modal Siamese Convolutional Neural Network (mmSNN) model. The framework learns the spatial and temporal information individually and combines them together in a modified weighted cost with an objective of predicting a person's identity. We evaluated our proposed model using real-time collected data from 3 collected datasets and one publicly available dataset. Our proposed framework shows that PPG-based breathing rate and heart rate in conjunction with hand gesture contexts can be utilized by attackers to re-identify user's identity (max. 71 compliant wearable data. Given publicly placed camera can estimate heart rate and breathing rate along with hand gestures remotely, person re-identification using them imposes a significant threat to future HIPAA compliant server which requires a better encryption method to store wearable healthcare data.


Improving Person Re-Identification with Temporal Constraints

In this paper we introduce an image-based person re-identification datas...

Domain Adaptive Egocentric Person Re-identification

Person re-identification (re-ID) in first-person (egocentric) vision is ...

iQIYI-VID: A Large Dataset for Multi-modal Person Identification

Person identification in the wild is very challenging due to great varia...

Towards Privacy-Preserving Person Re-identification via Person Identify Shift

Recently privacy concerns of person re-identification (ReID) raise more ...

Person Identification using Seismic Signals generated from Footfalls

Footfall based biometric system is perhaps the only person identificatio...

Detecting F-formations Roles in Crowded Social Scenes with Wearables: Combining Proxemics Dynamics using LSTMs

In this paper, we investigate the use of proxemics and dynamics for auto...

BIOWISH: Biometric Recognition using Wearable Inertial Sensors detecting Heart Activity

Wearable devices are increasingly used, thanks to the wide set of applic...