A study on smart online frame forging attacks against video surveillance system

Deeraj Nagothu, Jacob Schwell, Yu Chen, Erik Blasch, Sencun Zhu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationSignal Processing, Sensor/Information Fusion, and Target Recognition XXVIII
EditorsIvan Kadar, Erik P. Blasch, Lynne L. Grewe
PublisherSPIE
ISBN (Electronic)9781510627017
DOIs
StatePublished - Jan 1 2019
EventSignal Processing, Sensor/Information Fusion, and Target Recognition XXVIII 2019 - Baltimore, United States
Duration: Apr 15 2019Apr 17 2019

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11017
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceSignal Processing, Sensor/Information Fusion, and Target Recognition XXVIII 2019
CountryUnited States
CityBaltimore
Period4/15/194/17/19

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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  • Cite this

    Nagothu, D., Schwell, J., Chen, Y., Blasch, E., & Zhu, S. (2019). A study on smart online frame forging attacks against video surveillance system. In I. Kadar, E. P. Blasch, & L. L. Grewe (Eds.), Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII [110170L] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11017). SPIE. https://doi.org/10.1117/12.2519005