Cited by 57Video Surveillance and Tracking MethodsNetwork Security and Intrusion DetectionInformation and Cyber Security

Attacks and Preventive Measures on Video Surveillance Systems: A Review

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Vennam, Preethi, T. C., Pramod, B. M., Thippeswamy, Kim, Yong-Guk, B. N., Pavan Kumar·2021·Applied Sciences

Abstract

Video surveillance systems are widely deployed with large systems for use in strategic places such as home security, public transportation, banks, ATM centers, city centers, airports, and public roads, and play a vital role in protecting critical infrastructures. As various attacks are possible in these systems, identifying attacks and considering suitable security measures are essential. In this paper, we present a detailed review of existing and possible threats in video surveillance, CCTV, and IP-camera systems. This provides insight for the better identification of the security risks associated with the design and deployment of these systems and promotes further research in this emerging field. We also present countermeasures to prevent and protect the surveillance systems from various security attacks.

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  • Some published VSS survey papers focused on one specific area such as attacks and preventive measures on VSS, anomaly detection, crowd behavior analysis, and drone surveillance system.

    “Recently, some of the published VSS survey papers focused on one specific area such as attacks and preventive measures on VSS [1], anomaly detection [2][3][4][5], crowd behavior analysis [6], and drone surveillance system [7].”

    From A Survey of Video Surveillance Systems in Smart City (2023) · cites this paper as [1]

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Research works printed but not linked: 6

  1. Yan, W.Q.; Zhou, L.; Shu, Y.; Yu, J. CVSS: A Cloud-Based Visual Surveillance System. Int. J. Digit. Crime For. 2018, 10, 79-91.
  2. McAfee Labs. McAfee Threats Report: First Quarter 2013; McAffe Press: San Jose, CA, USA, 2013. Available online: http: //www.mcafee.com/us/resources/re-ports/rpquarterly-threat-q (accessed on 15 May 2021).
  3. Enck, W.; Gilbert, P.; Chun, B.G.; Cox, L.P.; Jung, J.; McDaniel, P.; Sheth, A.P.; Droid, T. An Information on Tracking System for Real Time Privacy Monitoring on Smart-Phones. In Proceedings of the 9th USENIX Conference on Operating Systems Design and Implementation, Vancouver, BC, Canada, 4-6 October 2010; USENIX Association: Berkeley, CA, USA, 2020; pp. 1-6.
  4. Mowery, K.; Wustrow, E.; Wypych, T.; Singleton, C.; Comfort, C.; Rescorla, E.; Halderman, J.A.; Shacham, H.; Checkoway, S. Security analysis of a full-body scanner. In 23rd USENIX Security Symposium USENIX Security 14; USENIX Association: San Diego, CA, USA, 2014; pp. 369-384.
  5. Guri, M.; Hasson, O.; Kedma, G.; Elovici, Y. Visisploit: An optical covert-channel. arXiv 2016, arXiv:1607.03946. · arXiv
  6. Jung, S.; Kwon, T. Automatic Smudge Attack Based on Machine Learning and Pattern Lock System Safety Analysis. J. Korea Inst. Inf. Secur. 2016, 26, 903-910.

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Authors
Vennam, P., T. C., P., B. M., T., Kim, Y.-G., & B. N., P. K.
Affiliations
  • Dayananda Sagar University (IN)
  • Department of Computer Science & Engineering, Siddaganga Institute of Technology, Tumakuru 572103, India
  • Department of Computer Science & Engineering, Adama Science & Technology University, Adama 1888, Ethiopia
  • Sejong University (KR)
  • Department of Computer Engineering, Sejong University, Seoul 05000, Korea
Corresponding author
Kim, Yong-Guk
Venue
Applied Sciences
Publisher
MDPI AG
Published
2021-06-16
Volume
11
Issue
12
Pages
5571
ISSN
2076-3417 (ISSN-L)
OpenAlex
W3165941551
Cited by
57
References
44
Citations by year
2026: 3 · 2025: 11 · 2024: 14 · 2023: 20 · 2022: 7 · 2021: 2
FWCI
3.87
Type
journal article
Language
en
Open access
Locations
  • Applied Sciences (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • National Research Foundation
  • National Research Foundation of Korea (2020R1A6A1A03038540)
  • Iran Telecommunication Research Center
  • Ministry of Science and ICT, South Korea (2019-0-00231, 2020R1A6A1A03038540)
  • Institute for Information and Communications Technology Promotion (2019- 0-00231, 2020R1A6A1A03038540)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Video Surveillance and Tracking Methods
  • Physical Sciences › Computer Science › Computer Networks and Communications › Network Security and Intrusion Detection
  • Physical Sciences › Computer Science › Information Systems › Information and Cyber Security
Keywords
video surveillance security, CCTV, IP cameras, security threats, attack detection, countermeasures, critical infrastructure protection, surveillance system design

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