research-article

Are There Wireless Hidden Cameras Spying on Me?

Authors:

Choong-Hoon LeeAuthors Info & Claims

ACSAC '22: Proceedings of the 38th Annual Computer Security Applications Conference

Pages 714 - 726

https://doi.org/10.1145/3564625.3564632

Published: 05 December 2022 Publication History

Abstract

The proliferation of IoT devices has created risks of their abuse for unauthorized sensing/monitoring of our daily activities. Especially, the leakage of images taken by wireless spy cameras in sensitive spaces, such as hotel rooms, Airbnb rentals, public restrooms, and shower rooms, has become a serious privacy concern/threat. To mitigate/address this pressing concern, we propose a Spy Camera Finder (SCamF) that uses ubiquitous smartphones to detect and locate wireless spy cameras by analyzing encrypted Wi-Fi network traffic. Not only by characterizing the network traffic patterns of wireless cameras but also by reconstructing encoded video frame sizes from encrypted traffic, SCamF effectively determines the existence of wireless cameras on the Wi-Fi networks, and accurately verifies whether the thus-detected cameras are indeed recording users’ activities. SCamF also accurately locates spy cameras by analyzing reconstructed video frame sizes. We have implemented SCamF on Android smartphones and evaluated its performance on a real testbed across 20 types of wireless cameras. Our experimental results show SCamF to: (1) classify wireless cameras with an accuracy of 0.98; (2) detect spy cameras among the classified wireless cameras with a true positive rate (TPR) of 0.97; (3) incur low false positive rates (FPRs) of 0 and 0.031 for non-camera devices and cameras not recording the users’ activities, respectively; (4) locate spy cameras with centimeter-level distance errors.

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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
Gu YChen JWu CHe KZhao ZDu R(2024)LocCamsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314327:4(1-24)Online publication date: 12-Jan-2024
https://dl.acm.org/doi/10.1145/3631432
An HPark WPark S(2024)Real-Time Sensing and On-Site Spotting Scheme of Multi-Type WLAN SpycamsIEEE Access10.1109/ACCESS.2024.348242912(153965-153979)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3482429
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Index Terms

Are There Wireless Hidden Cameras Spying on Me?
1. Networks
  1. Network properties
    1. Network privacy and anonymity
2. Security and privacy
  1. Network security
    1. Mobile and wireless security

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ACSAC '22: Proceedings of the 38th Annual Computer Security Applications Conference

December 2022

1021 pages

ISBN:9781450397599

DOI:10.1145/3564625

Copyright © 2022 ACM.

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Published: 05 December 2022

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ACSAC

ACSAC: Annual Computer Security Applications Conference

December 5 - 9, 2022

TX, Austin, USA

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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
Gu YChen JWu CHe KZhao ZDu R(2024)LocCamsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314327:4(1-24)Online publication date: 12-Jan-2024
https://dl.acm.org/doi/10.1145/3631432
An HPark WPark S(2024)Real-Time Sensing and On-Site Spotting Scheme of Multi-Type WLAN SpycamsIEEE Access10.1109/ACCESS.2024.348242912(153965-153979)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3482429
An HPark WPark S(2024)Wireless Spy Camera Spotter System With Real-Time Traffic Similarity Analysis and WiFi Signal TracingIEEE Access10.1109/ACCESS.2024.335017512(4459-4470)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3350175
Jakkamsetti SKim YTsudik GMeng WJensen CCremers CKirda E(2023)Caveat (IoT) Emptor: Towards Transparency of IoT Device PresenceProceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security10.1145/3576915.3623089(1347-1361)Online publication date: 15-Nov-2023
https://dl.acm.org/doi/10.1145/3576915.3623089
He YHe QFang SLiu YMeng WJensen CCremers CKirda E(2023)When Free Tier Becomes Free to Enter: A Non-Intrusive Way to Identify Security Cameras with no Cloud SubscriptionProceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security10.1145/3576915.3623083(651-665)Online publication date: 15-Nov-2023
https://dl.acm.org/doi/10.1145/3576915.3623083
Ma YLuo XLi RDu SLiu W(2023)LENSER: A Channel State Information Based Indoor Localization Scheme for Malicious Devices2023 IEEE 20th International Conference on Mobile Ad Hoc and Smart Systems (MASS)10.1109/MASS58611.2023.00064(461-470)Online publication date: 25-Sep-2023
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Herodotou SHao F(2023)Spying on the Spy: Security Analysis of Hidden CamerasNetwork and System Security10.1007/978-3-031-39828-5_19(345-362)Online publication date: 14-Aug-2023
https://dl.acm.org/doi/10.1007/978-3-031-39828-5_19

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