Paper Info
Title
Real-Time Index Authentication for Event-Oriented Surveillance Video Query using Blockchain.
Abstract
Information from surveillance video is essential for situational awareness (SAW). Nowadays, a prohibitively large amount of surveillance data is being generated continuously by ubiquitously distributed video sensors. It is very challenging to immediately identify the objects of interest or zoom in suspicious actions from thousands of video frames. Making the big data indexable is critical to tackle this problem. It is ideal to generate pattern indexes in a real-time, on-site manner on the video streaming instead of depending on the batch processing at the cloud centers. The modern edge-fog-cloud computing paradigm allows implementation of time sensitive tasks at the edge of the network. The on-site edge devices collect the information sensed in format of frames and extracts useful features. The near-site fog nodes conduct the contextualization and classification of the features. The remote cloud center is in charge of more data intensive and computing intensive tasks. However, exchanging the index information among devices in different layers raises security concerns where an adversary can capture or tamper with features to mislead the surveillance system. In this paper, a blockchain enabled scheme is proposed to protect the index data through an encrypted secure channel between the edge and fog nodes. It reduces the chance of attacks on the small edge and fog devices. The feasibility of the proposal is validated through intensive experimental analysis.
Year
Venue
Keywords
2018
2018 IEEE International Smart Cities Conference (ISC2)
Surveillance,Streaming media,Blockchain,Encryption,Indexes,Real-time systems,Task analysis
DocType
Volume
Citations 
Conference
abs/1807.06179
9
PageRank 
References 
Authors
0.53
14
6
Name
Order
Citations
PageRank
Seyed Yahya Nikouei1466.15
Ronghua Xu2343.34
Deeraj Nagothu3193.51
Yu Chen482480.54
Alexander J. Aved54811.59
Erik Blasch6105190.91