Attacks and Preventive Measures on Video Surveillance Systems: A Review
Open accessAbstract
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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Cites
DDoS in the IoT: Mirai and Other Botnets
Kolias, C., Kambourakis, G., Stavrou, A., & Voas, J. (2017) · Computer · doi:10.1109/mc.2017.201 · Cited by 1,892 · see citing works
An Android Application Sandbox system for suspicious software detection
Bläsing, T., Batyuk, L., Schmidt, A.-D., Camtepe, S. A., & Albayrak, S. (2010) · 2010 5th International Conference on Malicious and Unwanted Software · doi:10.1109/malware.2010.5665792 · Cited by 452 · see citing works
Secure Surveillance Framework for IoT Systems Using Probabilistic Image Encryption
Muhammad, K., Hamza, R., Ahmad, J., Lloret, J., Wang, H., & Baik, S. W. (2018) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2018.2791944 · Cited by 299 · see citing works
Network attacks: Taxonomy, tools and systems
Hoque, N., Bhuyan, M. H., Baishya, R. C., Bhattacharyya, D. K., & Kalita, J. K. (2013) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2013.08.001 · Cited by 219 · see citing works
Mobile Security Catching Up? Revealing the Nuts and Bolts of the Security of Mobile Devices
Becher, M., Freiling, F., Hoffmann, J., Holz, T., Uellenbeck, S., & Wolf, C. (2011) · IEEE Symposium on Security and Privacy (S&P) · doi:10.1109/sp.2011.29 · Cited by 191 · see citing works
Lee, D., & Park, N. (2021) · Multimedia Tools and Applications · doi:10.1007/s11042-020-08776-y · Cited by 96 · see citing works
Smart Surveillance Monitoring System Using Raspberry PI and PIR Sensor
Nayak, M. C., & Dash, P. (2018) · PARIPEX-INDIAN JOURNAL OF RESEARCH · Cited by 89 · see citing works
Xu, Z., Hu, C., & Mei, L. (2015) · Multimedia Tools and Applications · doi:10.1007/s11042-015-3112-5 · Cited by 79 · see citing works
Security threats to mobile multimedia applications: Camera-based attacks on mobile phones
Wu, L., Du, X., & Fu, X. (2014) · IEEE Communications Magazine · doi:10.1109/mcom.2014.6766089 · Cited by 77 · see citing works
A Lightweight Blockchain-Based Privacy Protection for Smart Surveillance at the Edge
Fitwi, A., Chen, Y., & Zhu, S. (2019) · 2019 IEEE International Conference on Blockchain (Blockchain) · doi:10.1109/blockchain.2019.00080 · Cited by 76 · see citing works
Spotlight: The Rise of the Smart Phone
Zheng, P., & Ni, L. M.-S. (2006) · IEEE Distributed Systems Online · doi:10.1109/mdso.2006.22 · Cited by 73 · see citing works
New facets of mobile botnet: architecture and evaluation
Αναγνωστόπουλος, Μ., Kambourakis, G., & Gritzalis, S. (2015) · International Journal of Information Security · doi:10.1007/s10207-015-0310-0 · Cited by 61 · see citing works
Framework for a Cloud-Based Multimedia Surveillance System
Hossain, M. A. (2014) · International Journal of Distributed Sensor Networks · doi:10.1155/2014/135257 · Cited by 51 · see citing works
Authentication of Surveillance Videos: Detecting Frame Duplication Based on Residual Frame
Fadl, S. M., Han, Q., & Li, Q. (2017) · Journal of Forensic Sciences · doi:10.1111/1556-4029.13658 · Cited by 39 · see citing works
Towards a Safer Internet of Things—A Survey of IoT Vulnerability Data Sources
Rytel, M., Felkner, A., & Janiszewski, M. (2020) · Sensors · doi:10.3390/s20215969 · Cited by 39 · see citing works
Covert Channels-Based Stealth Attacks in Industry 4.0
Alcaraz, C., Bernieri, G., Pascucci, F., López, J., & Setola, R. (2019) · IEEE Systems Journal · doi:10.1109/jsyst.2019.2912308 · Cited by 38 · see citing works
Android malware attacks and countermeasures: Current and future directions
Raveendranath, R., Rajamani, V., Babu, A. J., & Datta, S. K. (2014) · International Conference on Control, Instrumentation, Communication and Computational Technologies · doi:10.1109/iccicct.2014.6992944 · Cited by 37 · see citing works
Privacy revelations for web and mobile apps
Wetherall, D. J., Choffnes, D., Greenstein, B., Han, S., Hornyack, P., Jung, J. H., Schechter, S., & Wang, X. (2011) · Cited by 37 · see citing works
Security in wearable communications
Wang, S., Bie, R., Zhao, F., Zhang, N., Cheng, X., & Choi, H. (2016) · IEEE Network · doi:10.1109/mnet.2016.7579028 · Cited by 34 · see citing works
A security framework for cloud-based video surveillance system
Alsmirat, M. A., Obaidat, I., Jararweh, Y., & Al-Saleh, M. I. (2017) · Multimedia Tools and Applications · doi:10.1007/s11042-017-4488-1 · Cited by 33 · see citing works
Internet of Things: Securing Data Using Image Steganography
Hwan, J. J. Y., Gan, M. F., Mughal, F., & Iranmanesh, V. (2015) · International Conference on Artificial Intelligence, Modelling and Simulation (AIMS) · doi:10.1109/aims.2015.56 · Cited by 28 · see citing works
The detection and defence of DoS attack for wireless sensor network
Zhang, Y., Xiang-zhen, L. I., & Liu, Y. (2012) · 中国邮电高校学报:英文版 · doi:10.1016/s1005-8885(11)60444-5 · Cited by 26 · see citing works
A survey on security issues, vulnerabilities and attacks in Android based smartphone
Hur, J. B., & Shamsi, J. A. (2017) · International Conference on Information and Communication Technologies · doi:10.1109/icict.2017.8320163 · Cited by 26 · see citing works
IP traceback solutions based on time to live covert channel
Jones, E. L., Moigne, O. L., & Robert, J.-M. (2005) · The ... IEEE International Conference on Networks/The IEEE International Conference on Networks · doi:10.1109/icon.2004.1409207 · Cited by 23 · see citing works
Security and privacy issues affecting cloud-based IP camera
Liranzo, J., & Hayajneh, T. S. (2017) · doi:10.1109/uemcon.2017.8249043 · Cited by 22 · see citing works
Jeong, J., Kwon, S., Hong, M., Kwak, J., & Shon, T. (2019) · Multimedia Tools and Applications · doi:10.1007/s11042-019-7262-8 · Cited by 22 · see citing works
Object based watermarking for H.264/AVC video resistant to rst attacks
Gaj, S., Patel, A. S., & Sur, A. (2015) · Multimedia Tools and Applications · doi:10.1007/s11042-014-2422-3 · Cited by 18 · see citing works
Forensic analysis of video steganography tools
Sloan, T., & Hernandez-Castro, J. C. (2015) · PeerJ Computer Science · doi:10.7717/peerj-cs.7 · Cited by 17 · see citing works
Entropy-based security risk measurement for Android mobile applications
Deypir, M. (2018) · Soft Computing · doi:10.1007/s00500-018-3377-5 · Cited by 17 · see citing works
Pramod, T. C., Thejas, G. S., Iyengar, S. S., & Sunitha, N. R. (2019) · Future Internet · doi:10.3390/fi11060126 · Cited by 15 · see citing works
Pan, J. (2019) · IEEE International Conference on Internet of Things and Intelligence System (IoTaIS) · doi:10.1109/iotais47347.2019.8980385 · Cited by 13 · see citing works
CCTV Surveillance System, Attacks and Design Goals
Muthusenthil, B., & Kim, H. (2018) · International Journal of Electrical and Computer Engineering (IJECE) · doi:10.11591/ijece.v8i4.pp2072-2082 · Cited by 12 · see citing works
Secure privacy vault design for distributed multimedia surveillance system
Rahman, S. M. M., Hossain, M. A., Hassan, M. M., Alamri, A. M., Alghamdi, A., & Pathan, M. (2014) · Future Generation Computer Systems · doi:10.1016/j.future.2014.10.019 · Cited by 11 · see citing works
Analysis of dictionary methods for PIN selection
Staneková, Ľ., & Staněk, M. (2013) · Computers & Security · doi:10.1016/j.cose.2013.08.006 · Cited by 11 · see citing works
An approach to detect malicious activities in SCADA systems
Pramod, T. C., & Sunitha, N. R. (2013) · International Conference on Computing, Communication and Networking Technologies (ICCCNT) · doi:10.1109/icccnt.2013.6726619 · Cited by 9 · see citing works
Zhou, L., Yan, W. Q., Shu, Y., & Yu, J. (2017) · International Journal of Digital Crime and Forensics · doi:10.4018/ijdcf.2018010107 · Cited by 8 · see citing works
Resource Race Attacks on Android
Cai, Y., Tang, Y., Li, H., Yu, L., Zhou, H., Luo, X., He, L., & Su, P. (2020) · IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) · doi:10.1109/saner48275.2020.9054863 · Cited by 8 · see citing works
Key pre-distribution schemes to support various architectural deployment models in WSN
Pramod, T. C., & Sunitha, N. R. (2016) · International Journal of Information and Computer Security · doi:10.1504/ijics.2016.078124 · Cited by 5 · see citing works
The Security of IP-Based Video Surveillance Systems
Kalbo, N., Mirsky, Y., Shabtai, A., & Elovici, Y. (2020) · Sensors · doi:10.3390/s20174806 · Cited by 5 · see citing works
Key Establishment Scheme for Intra and Inter Cluster Communication in WSN
Prema, S., & Pramod, T. C. (2018) · International Conference on Computing Methodologies and Communication (ICCMC) · doi:10.1109/iccmc.2018.8487756 · Cited by 4 · see citing works
Exploiting the Vulnerabilities of Android Camera API
Neha Malokar, K., Subramanian, N., Sriram, S., Venkat, S., Khan, Z., & Shrawne, S. C. (2015) · IARJSET · doi:10.17148/iarjset.2015.2817 · Cited by 2 · see citing works
Image Steganography: Protection of Digital Properties against EavesdroppingPreprint
Maharjan, R., Shrestha, A. K., & Basnet, R. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1909.04685 · Cited by 2 · see citing works
Chinese fear Tesla car cameras are spying on them
(2021) · Biometric Technology Today · doi:10.1016/s0969-4765(21)00039-4 · Cited by 1 · see citing works
Flagged first, then by citations
1 of the 44 references couldn’t be matched to a known paper.
Research works printed but not linked: 6
- 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.
- 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).
- 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.
- 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.
- Guri, M.; Hasson, O.; Kedma, G.; Elovici, Y. Visisploit: An optical covert-channel. arXiv 2016, arXiv:1607.03946. · arXiv
- 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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Вакалюк, Т. А., Talchenko, D., Osadchyi, V., Покотило, О. А., & Pokotylo, O. A. (2023) · Workshop on Cybersecurity Providing in Information and Telecommunication Systems (CPITS) · doi:10.55056/ceur-ws.org/vol-3421/short2.pdf
MAKİNE ÖĞRENMESİ İLE GERÇEK ZAMANLI SİLAH TESPİT SİSTEMİ
Kayaalp, K., & Yilmaz, T. (2026) · Uluslararası sürdürülebilir mühendislik ve teknoloji dergisi. · doi:10.62301/usmtd.1882048
Moyo, J., van Niekerk, B., Millham, R. C., & Aworinde, H. O. (2026) · Journal of Sensor and Actuator Networks · doi:10.3390/jsan15040061
- 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
- gold
- doi.org
- Licence
- 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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