Abstract
In recent decades, surveillance cameras are widely deployed in populous areas for secretly consideration. The connection to the Internet, however, has brought lots of illegal intruding behaviors to these IoT (Internet of Things) devices. More precisely, the surveillance camera has become the rank one IoT target suffered from malicious attacks. As the recorded video is an important evidence for investigation, any suspicious disruption on surveillance camera must lower down the credibility of video. Thus, we aim to integrate the blockchain concept for developing a critical evidence custody system (CECS). In particular, a critical motion detection (CMD) technique is designed to reduce the video storage overhead on blockchain. Simulations have demonstrated that CECS is able to efficiently preserve the video credibility of surveillance camera.
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References
Circo, G.: Edmund McGarrell, Estimating the impact of an integrated CCTV program on crime. J. Exp. Criminol. 17, 129–150 (2021)
Paul Bischoff, Surveillance camera statistics: which cities have the most CCTV cameras ?, Comparitech Available online (2021) https://www.comparitech.com/blog/vpn-privacy/the-worlds-most-surveilled-cities/
Priya, M., Surya, D., Diana Josephine, P., Abinaya: IoT based smart and secure surveillance system using video summarization, Advances in Computing and Network Communications. 423–435 (2021)
Taipei City Government, Statistical data on the time series of cases detected by the surveillance video system in taipei city, Government Information Open Platform Available online (2020). https://data.gov.tw/ dataset/133399
Steve Hilton, What to expect from security and surveillance monitoring solutions in an IoT world, Available online: https://blog.bosch-si.com/internetofthings/what-to-expect-from-security-and-surveillance-monitoring-solutions-in-an-iot-world/
Terry He, Rhoda-Mae Aronce, Lalith Dampanaboina, Justin Jose, Michael King, Edward Cohen, Sonicwall cyber threat report, SonicWall (2021) Available online: https://www.sonicwall.com/medialibrary/en/white-paper/2021-cyber-threat-report.pdf
Berdik, D., Otoum, S., Schmidt, N., Porter, D., Jararweh, Y.: A survey on blockchain for information systems management and security. Inf. Process. Manage. 58, 1–28 (2021)
Liang, W., Fan, Y.-K., Li, K.-C., Zhang, D.-F., Gaudiot, J.-L.: Secure data storage and recovery in industrial blockchain network environments. IEEE Trans. Industr. Inf. 16, 6543–6552 (2020)
Nazanin Zahed Benisi., Mehdi Aminian., Bahman Javadi.: Blockchain-based decentralized storage networks: A survey. J. Netw. Comput. Appl. 162, 1-10 (2020)
Hossein Shafagh., Lukas Burkhalter., Anwar Hithnawi., Simon Duquennoy.: Towards blockchain-based auditable storage and sharing of IoT data, Proceedings of the 2017 on Cloud Computing Security Workshop, 45–50 (2017)
Chen, Q., Srivastava, G., Parizi, R.M., Aloqaily, M.: Ismaeel Al Ridhawi, An incentive-aware blockchain-based solution for internet of fake media things. Inf. Process. Manage. 57, 1–16 (2020)
Liu, L., Zhang, W., Han, C.: A survey for the application of blockchain technology in the media. Peer-To-Peer Netw. Appl. 14, 3143–3165 (2021)
Chang, Y.-F.: Research on de-motion blur image processing based on deep learning. J. Vis. Commun. Image Represent. 60, 371–379 (2019)
Lissner, I., Preiss, J., Urban, P.: Matthias Scheller Lichtenauer, Peter Zolliker, Image-difference prediction: From grayscale to color. IEEE Trans. Image Process. 22, 435–446 (2013)
Li, F.-Y., Zhang, L.-M., Wei, W.-M.: Reversible data hiding in encrypted binary image with shared pixel prediction and halving compression. EURASIP J. Image Video Process. 33, 1–21 (2020)
Mondal, R.: Moni Shankar Dey. Bhabatosh Chanda, Image restoration by learning morphological opening-closing network, Mathematical Morphology-Theory and Applications 4, 87–107 (2020)
Satoshi Nakamoto.:Bitcoin: A peer-to-peer electronic cash system, Available online (2008): http://bitcoin.org/bitcoin.pdf
Fanning, K., Centers, D.P.: Blockchain and its coming impact on financial services. J. Corp. Account. & Financ. 27, 53–57 (2016)
Jie-Wu Leng., Guo-Lei Ruan., Ping-Yu Jiang., Kai-Lin Xu., Qiang Liu., Xue-Liang Zhou., Chao Liu.: Blockchain-empowered sustainable manufacturing and product lifecycle management in industry 4.0: A survey, Renewable and Sustainable Energy Reviews 132, 1–20 (2020)
Matthias Mettler.: Blockchain technology in healthcare: The revolution starts here, 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom) Munich Germany, 1–3 (2016)
Hasselgren, A., Kralevska, K., Gligoroski, D., Pedersen, S.A., Faxvaag, A.: Blockchain in healthcare and health sciences - a scoping review. Int. J. Med. Informatics 134, 1–10 (2020)
Seyoung Huh., Sangrae Cho., Soohyung Kim.: Managing IoT devices using blockchain platform, 2017 19th International Conference on Advanced Communication Technology (ICACT) PyeonyChang Korea, 464–467 (2017)
Ralph , C.: Merkle, One way hash functions and DES, Conference on the Theory and Application of Cryptology New York, 428–446 (1989)
Neal Krawetz, Kind of like that, Available online (2013). http://www.hackerfactor.com/blog/?/archives/529-Kind-of-Like-That.html
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Hung, WC., Chew, CJ., Chen, YC., Fan, YY., Lee, JS. (2023). A Blockchain-Based Custody System for Preserving Critical Video Evidence. In: Tsihrintzis, G.A., Wang, SJ., Lin, IC. (eds) 2021 International Conference on Security and Information Technologies with AI, Internet Computing and Big-data Applications. Smart Innovation, Systems and Technologies, vol 314. Springer, Cham. https://doi.org/10.1007/978-3-031-05491-4_35
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DOI: https://doi.org/10.1007/978-3-031-05491-4_35
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