Secure Surveillance Framework for IoT Systems Using Probabilistic Image Encryption

[EN] This paper proposes a secure surveillance framework for Internet of things (IoT) systems by intelligent integration of video summarization and image encryption. First, an efficient video summarization method is used to extract the informative frames using the processing capabilities of visual s...

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Detalles Bibliográficos
Autores: Muhammad, Khan, Hamza, Rafik, Ahmad, Jamil, Wang, Haoxiang, Baik, Sung Wook, Lloret, Jaime|||0000-0002-0862-0533
Tipo de recurso: artículo
Fecha de publicación:2018
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/143115
Acceso en línea:https://riunet.upv.es/handle/10251/143115
Access Level:acceso abierto
Palabra clave:Industrial Internet of things (IoT)
Information security
Lightweight image encryption
Surveillance networks
Video summarization
INGENIERIA TELEMATICA
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spelling Secure Surveillance Framework for IoT Systems Using Probabilistic Image EncryptionMuhammad, KhanHamza, RafikAhmad, JamilWang, HaoxiangBaik, Sung WookLloret, Jaime|||0000-0002-0862-0533Industrial Internet of things (IoT)Information securityLightweight image encryptionSurveillance networksVideo summarizationINGENIERIA TELEMATICA[EN] This paper proposes a secure surveillance framework for Internet of things (IoT) systems by intelligent integration of video summarization and image encryption. First, an efficient video summarization method is used to extract the informative frames using the processing capabilities of visual sensors. When an event is detected from keyframes, an alert is sent to the concerned authority autonomously. As the final decision about an event mainly depends on the extracted keyframes, their modification during transmission by attackers can result in severe losses. To tackle this issue, we propose a fast probabilistic and lightweight algorithm for the encryption of keyframes prior to transmission, considering the memory and processing requirements of constrained devices that increase its suitability for IoT systems. Our experimental results verify the effectiveness of the proposed method in terms of robustness, execution time, and security compared to other image encryption algorithms. Furthermore, our framework can reduce the bandwidth, storage, transmission cost, and the time required for analysts to browse large volumes of surveillance data and make decisions about abnormal events, such as suspicious activity detection and fire detection in surveillance applications.This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (No. 2016R1A2B4011712). Paper no. TII-17-2066.Institute of Electrical and Electronics EngineersDepartamento de ComunicacionesEscuela Politécnica Superior de GandiaNational Research Foundation of KoreaRepositorio Institucional de la Universitat Politècnica de València Riunet20182018-08-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://riunet.upv.es/handle/10251/143115reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengNational Research Foundation Singapore https://doi.org/10.13039/501100001321 2016R1A2B4011712open accesshttp://purl.org/coar/access_right/c_abf2Reserva de todos los derechoshttp://rightsstatements.org/vocab/InC/1.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/1431152026-06-13T07:49:27Z
dc.title.none.fl_str_mv Secure Surveillance Framework for IoT Systems Using Probabilistic Image Encryption
title Secure Surveillance Framework for IoT Systems Using Probabilistic Image Encryption
spellingShingle Secure Surveillance Framework for IoT Systems Using Probabilistic Image Encryption
Muhammad, Khan
Industrial Internet of things (IoT)
Information security
Lightweight image encryption
Surveillance networks
Video summarization
INGENIERIA TELEMATICA
title_short Secure Surveillance Framework for IoT Systems Using Probabilistic Image Encryption
title_full Secure Surveillance Framework for IoT Systems Using Probabilistic Image Encryption
title_fullStr Secure Surveillance Framework for IoT Systems Using Probabilistic Image Encryption
title_full_unstemmed Secure Surveillance Framework for IoT Systems Using Probabilistic Image Encryption
title_sort Secure Surveillance Framework for IoT Systems Using Probabilistic Image Encryption
dc.creator.none.fl_str_mv Muhammad, Khan
Hamza, Rafik
Ahmad, Jamil
Wang, Haoxiang
Baik, Sung Wook
Lloret, Jaime|||0000-0002-0862-0533
author Muhammad, Khan
author_facet Muhammad, Khan
Hamza, Rafik
Ahmad, Jamil
Wang, Haoxiang
Baik, Sung Wook
Lloret, Jaime|||0000-0002-0862-0533
author_role author
author2 Hamza, Rafik
Ahmad, Jamil
Wang, Haoxiang
Baik, Sung Wook
Lloret, Jaime|||0000-0002-0862-0533
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Departamento de Comunicaciones
Escuela Politécnica Superior de Gandia
National Research Foundation of Korea
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Industrial Internet of things (IoT)
Information security
Lightweight image encryption
Surveillance networks
Video summarization
INGENIERIA TELEMATICA
topic Industrial Internet of things (IoT)
Information security
Lightweight image encryption
Surveillance networks
Video summarization
INGENIERIA TELEMATICA
description [EN] This paper proposes a secure surveillance framework for Internet of things (IoT) systems by intelligent integration of video summarization and image encryption. First, an efficient video summarization method is used to extract the informative frames using the processing capabilities of visual sensors. When an event is detected from keyframes, an alert is sent to the concerned authority autonomously. As the final decision about an event mainly depends on the extracted keyframes, their modification during transmission by attackers can result in severe losses. To tackle this issue, we propose a fast probabilistic and lightweight algorithm for the encryption of keyframes prior to transmission, considering the memory and processing requirements of constrained devices that increase its suitability for IoT systems. Our experimental results verify the effectiveness of the proposed method in terms of robustness, execution time, and security compared to other image encryption algorithms. Furthermore, our framework can reduce the bandwidth, storage, transmission cost, and the time required for analysts to browse large volumes of surveillance data and make decisions about abnormal events, such as suspicious activity detection and fire detection in surveillance applications.
publishDate 2018
dc.date.none.fl_str_mv 2018
2018-08-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/143115
url https://riunet.upv.es/handle/10251/143115
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv National Research Foundation Singapore https://doi.org/10.13039/501100001321 2016R1A2B4011712
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869408503726080001
score 15,300719

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