research-article

LocCams: An Efficient and Robust Approach for Detecting and Localizing Hidden Wireless Cameras via Commodity Devices

Authors:

Ruiying DuAuthors Info & Claims

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 7, Issue 4

Article No.: 160, Pages 1 - 24

https://doi.org/10.1145/3631432

Published: 12 January 2024 Publication History

Abstract

Unlawful wireless cameras are often hidden to secretly monitor private activities. However, existing methods to detect and localize these cameras are interactively complex or require expensive specialized hardware. In this paper, we present LocCams, an efficient and robust approach for hidden camera detection and localization using only a commodity device (e.g., a smartphone). By analyzing data packets in the wireless local area network, LocCams passively detects hidden cameras based on the packet transmission rate. Camera localization is achieved by identifying whether the physical channel between our detector and the hidden camera is a Line-of-Sight (LOS) propagation path based on the distribution of channel state information subcarriers, and utilizing a feature extraction approach based on a Convolutional Neural Network (CNN) model for reliable localization. Our extensive experiments, involving various subjects, cameras, distances, user positions, and room configurations, demonstrate LocCams' effectiveness. Additionally, to evaluate the performance of the method in real life, we use subjects, cameras, and rooms that do not appear in the training set to evaluate the transferability of the model. With an overall accuracy of 95.12% within 30 seconds of detection, LocCams provides robust detection and localization of hidden cameras.

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Cited By

Geloczi EPöhls HKlement FPosegga JKatzenbeisser SAyday EVaidya J(2024)Unveiling the Shadows: An Approach towards Detection, Precise Localization, and Effective Isolation of Concealed IoT Devices in Unfamiliar EnvironmentsProceedings of the 23rd Workshop on Privacy in the Electronic Society10.1145/3689943.3695040(109-123)Online publication date: 20-Nov-2024
https://dl.acm.org/doi/10.1145/3689943.3695040
Zhang XMa ZHuang JYan HLi MLiu ZLiu BGanesan DLane NShi W(2024)Hidden WiFi Camera Localization via Signal Propagation Path AnalysisProceedings of the 30th Annual International Conference on Mobile Computing and Networking10.1145/3636534.3698834(1710-1712)Online publication date: 4-Dec-2024
https://dl.acm.org/doi/10.1145/3636534.3698834
Zhang QWang PLi YHu JZheng HZeng FLiu CJiang H(2024)CamShield: Tracing Electromagnetics to Steer Ultrasound Against Illegal CamerasIEEE Internet of Things Journal10.1109/JIOT.2024.342847511:20(33296-33311)Online publication date: 15-Oct-2024
https://doi.org/10.1109/JIOT.2024.3428475

Index Terms

LocCams: An Efficient and Robust Approach for Detecting and Localizing Hidden Wireless Cameras via Commodity Devices
1. Security and privacy
  1. Human and societal aspects of security and privacy
    1. Privacy protections

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cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Volume 7, Issue 4

December 2023

1613 pages

EISSN:2474-9567

DOI:10.1145/3640795

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Copyright © 2024 ACM.

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Published: 12 January 2024

Published in IMWUT Volume 7, Issue 4

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Cited By

Geloczi EPöhls HKlement FPosegga JKatzenbeisser SAyday EVaidya J(2024)Unveiling the Shadows: An Approach towards Detection, Precise Localization, and Effective Isolation of Concealed IoT Devices in Unfamiliar EnvironmentsProceedings of the 23rd Workshop on Privacy in the Electronic Society10.1145/3689943.3695040(109-123)Online publication date: 20-Nov-2024
https://dl.acm.org/doi/10.1145/3689943.3695040
Zhang XMa ZHuang JYan HLi MLiu ZLiu BGanesan DLane NShi W(2024)Hidden WiFi Camera Localization via Signal Propagation Path AnalysisProceedings of the 30th Annual International Conference on Mobile Computing and Networking10.1145/3636534.3698834(1710-1712)Online publication date: 4-Dec-2024
https://dl.acm.org/doi/10.1145/3636534.3698834
Zhang QWang PLi YHu JZheng HZeng FLiu CJiang H(2024)CamShield: Tracing Electromagnetics to Steer Ultrasound Against Illegal CamerasIEEE Internet of Things Journal10.1109/JIOT.2024.342847511:20(33296-33311)Online publication date: 15-Oct-2024
https://doi.org/10.1109/JIOT.2024.3428475

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