Real-Time Index Authentication for Event-Oriented Surveillance Video Query using Blockchain

07/17/2018
by   Seyed Yahya Nikouei, et al.
Binghamton University
United States Air Force
0

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.

READ FULL TEXT
12/27/2017

Big Data and Fog Computing

Fog computing serves as a computing layer that sits between the edge dev...
07/30/2018

EIQIS: Toward an Event-Oriented Indexable and Queryable Intelligent Surveillance System

Edge computing provides the ability to link distributor users for multim...
03/09/2020

I-ViSE: Interactive Video Surveillance as an Edge Service using Unsupervised Feature Queries

Situation AWareness (SAW) is essential for many mission critical applica...
09/12/2019

I-SAFE: Instant Suspicious Activity identiFication at the Edge using Fuzzy Decision Making

Urban imagery usually serves as forensic analysis and by design is avail...
05/03/2020

Minor Privacy Protection Through Real-time Video Processing at the Edge

The collection of a lot of personal information about individuals, inclu...
08/06/2018

Kerman: A Hybrid Lightweight Tracking Algorithm to Enable Smart Surveillance as an Edge Service

Edge computing pushes the cloud computing boundaries beyond uncertain ne...
04/24/2018

Real-Time Human Detection as an Edge Service Enabled by a Lightweight CNN

Edge computing allows more computing tasks to take place on the decentra...

Please sign up or login with your details

Forgot password? Click here to reset