Presentation + Paper
28 May 2019 A study on smart online frame forging attacks against Video Surveillance System
Author Affiliations +
Abstract
Video Surveillance Systems (VSS) have become an essential infrastructural element of smart cities by increasing public safety and countering criminal activities. A VSS is normally deployed in a secure network to prevent the access from unauthorized personnel. Compared to traditional systems that continuously record video regardless of the actions in the frame, a smart VSS has the capability of capturing video data upon motion detection or object detection, and then extracts essential information and send to users. This increasing design complexity of the surveillance system, however, also introduces new security vulnerabilities. In this work, a smart, real-time frame duplication attack is investigated. We show the feasibility of forging the video streams in real-time as the camera’s surroundings change. The generated frames are compared constantly and instantly to identify changes in the pixel values that could represent motion detection or changes in light intensities outdoors. An attacker (intruder) can remotely trigger the replay of some previously duplicated video streams manually or automatically, via a special quick response (QR) code or when the face of an intruder appear in the camera field of view. A detection technique is proposed by leveraging the real-time electrical network frequency (ENF) reference database to match with the power grid frequency.
Conference Presentation
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Deeraj Nagothu, Jacob Schwell, Yu Chen, Erik Blasch, and Sencun Zhu "A study on smart online frame forging attacks against Video Surveillance System", Proc. SPIE 11017, Sensors and Systems for Space Applications XII, 110170L (28 May 2019); https://doi.org/10.1117/12.2519005
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Video surveillance

Video

Cameras

Surveillance

Motion detection

Facial recognition systems

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