Cargando…

Secure Video Surveillance Framework in Smart City

In the construction process of smart cities, more and more video surveillance systems have been deployed for traffic, office buildings, shopping malls, and families. Thus, the security of video surveillance systems has attracted more attention. At present, many researchers focus on how to select the...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Hao, Xiezhang, Tianhao, Yang, Cheng, Deng, Lianbing, Yi, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271794/
https://www.ncbi.nlm.nih.gov/pubmed/34203289
http://dx.doi.org/10.3390/s21134419
_version_ 1783721075431964672
author Li, Hao
Xiezhang, Tianhao
Yang, Cheng
Deng, Lianbing
Yi, Peng
author_facet Li, Hao
Xiezhang, Tianhao
Yang, Cheng
Deng, Lianbing
Yi, Peng
author_sort Li, Hao
collection PubMed
description In the construction process of smart cities, more and more video surveillance systems have been deployed for traffic, office buildings, shopping malls, and families. Thus, the security of video surveillance systems has attracted more attention. At present, many researchers focus on how to select the region of interest (RoI) accurately and then realize privacy protection in videos by selective encryption. However, relatively few researchers focus on building a security framework by analyzing the security of a video surveillance system from the system and data life cycle. By analyzing the surveillance video protection and the attack surface of a video surveillance system in a smart city, we constructed a secure surveillance framework in this manuscript. In the secure framework, a secure video surveillance model is proposed, and a secure authentication protocol that can resist man-in-the-middle attacks (MITM) and replay attacks is implemented. For the management of the video encryption key, we introduced the Chinese remainder theorem (CRT) on the basis of group key management to provide an efficient and secure key update. In addition, we built a decryption suite based on transparent encryption to ensure the security of the decryption environment. The security analysis proved that our system can guarantee the forward and backward security of the key update. In the experiment environment, the average decryption speed of our system can reach 91.47 Mb/s, which can meet the real-time requirement of practical applications.
format Online
Article
Text
id pubmed-8271794
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-82717942021-07-11 Secure Video Surveillance Framework in Smart City Li, Hao Xiezhang, Tianhao Yang, Cheng Deng, Lianbing Yi, Peng Sensors (Basel) Article In the construction process of smart cities, more and more video surveillance systems have been deployed for traffic, office buildings, shopping malls, and families. Thus, the security of video surveillance systems has attracted more attention. At present, many researchers focus on how to select the region of interest (RoI) accurately and then realize privacy protection in videos by selective encryption. However, relatively few researchers focus on building a security framework by analyzing the security of a video surveillance system from the system and data life cycle. By analyzing the surveillance video protection and the attack surface of a video surveillance system in a smart city, we constructed a secure surveillance framework in this manuscript. In the secure framework, a secure video surveillance model is proposed, and a secure authentication protocol that can resist man-in-the-middle attacks (MITM) and replay attacks is implemented. For the management of the video encryption key, we introduced the Chinese remainder theorem (CRT) on the basis of group key management to provide an efficient and secure key update. In addition, we built a decryption suite based on transparent encryption to ensure the security of the decryption environment. The security analysis proved that our system can guarantee the forward and backward security of the key update. In the experiment environment, the average decryption speed of our system can reach 91.47 Mb/s, which can meet the real-time requirement of practical applications. MDPI 2021-06-28 /pmc/articles/PMC8271794/ /pubmed/34203289 http://dx.doi.org/10.3390/s21134419 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Li, Hao
Xiezhang, Tianhao
Yang, Cheng
Deng, Lianbing
Yi, Peng
Secure Video Surveillance Framework in Smart City
title Secure Video Surveillance Framework in Smart City
title_full Secure Video Surveillance Framework in Smart City
title_fullStr Secure Video Surveillance Framework in Smart City
title_full_unstemmed Secure Video Surveillance Framework in Smart City
title_short Secure Video Surveillance Framework in Smart City
title_sort secure video surveillance framework in smart city
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271794/
https://www.ncbi.nlm.nih.gov/pubmed/34203289
http://dx.doi.org/10.3390/s21134419
work_keys_str_mv AT lihao securevideosurveillanceframeworkinsmartcity
AT xiezhangtianhao securevideosurveillanceframeworkinsmartcity
AT yangcheng securevideosurveillanceframeworkinsmartcity
AT denglianbing securevideosurveillanceframeworkinsmartcity
AT yipeng securevideosurveillanceframeworkinsmartcity