Differential Privacy for IoT-Enabled Critical Infrastructure: A Comprehensive Survey

The rapid evolution of the Internet of Things (IoT) paradigm during the last decade has lead to its adoption in critical infrastructure. However, the multitude of benefits that are derived from the IoT paradigm are short-lived due to the exponential rise in the associated security and privacy threat...

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Autores principales: Muhammad Akbar Husnoo, Adnan Anwar, Ripon K. Chakrabortty, Robin Doss, Mike J. Ryan
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Lenguaje:EN
Publicado: IEEE 2021
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Acceso en línea:https://doaj.org/article/5ebe3aacd50d46adb3eeb23209eb4b74
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spelling oai:doaj.org-article:5ebe3aacd50d46adb3eeb23209eb4b742021-11-24T00:00:29ZDifferential Privacy for IoT-Enabled Critical Infrastructure: A Comprehensive Survey2169-353610.1109/ACCESS.2021.3124309https://doaj.org/article/5ebe3aacd50d46adb3eeb23209eb4b742021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9594795/https://doaj.org/toc/2169-3536The rapid evolution of the Internet of Things (IoT) paradigm during the last decade has lead to its adoption in critical infrastructure. However, the multitude of benefits that are derived from the IoT paradigm are short-lived due to the exponential rise in the associated security and privacy threats. Adversaries carry out privacy-oriented attacks to gain access to the sensitive and confidential data of critical infrastructure for various self-centered, political and commercial gains. In the past, researchers have employed several privacy preservation approaches including cryptographic encryption and k-anonymity to secure IoT-enabled critical infrastructure. However, for various reasons, those proposed solutions are not well suited for modern IoT-enabled critical infrastructure. Therefore, Dwork’s differential privacy has emerged as the most viable privacy preservation strategy for IoT-enabled critical infrastructure. This paper provides a comprehensive and extensive survey of the application and implementation of differential privacy in four major application domains of IoT-enabled critical infrastructure: Smart Grids (SGs), Intelligent Transport Systems (ITSs), healthcare and medical systems, and Industrial Internet of Things (IIoT). Finally, we discuss some promising future research directions in differential privacy for IoT-enabled critical infrastructure.Muhammad Akbar HusnooAdnan AnwarRipon K. ChakraborttyRobin DossMike J. RyanIEEEarticleDifferential privacyhealthcare systemsthe Internet of Things (IoT)intelligent transport system (ITS)industrial Internet of Things (IIoT)privacy preservationElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 153276-153304 (2021)
institution DOAJ
collection DOAJ
language EN
topic Differential privacy
healthcare systems
the Internet of Things (IoT)
intelligent transport system (ITS)
industrial Internet of Things (IIoT)
privacy preservation
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
spellingShingle Differential privacy
healthcare systems
the Internet of Things (IoT)
intelligent transport system (ITS)
industrial Internet of Things (IIoT)
privacy preservation
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Muhammad Akbar Husnoo
Adnan Anwar
Ripon K. Chakrabortty
Robin Doss
Mike J. Ryan
Differential Privacy for IoT-Enabled Critical Infrastructure: A Comprehensive Survey
description The rapid evolution of the Internet of Things (IoT) paradigm during the last decade has lead to its adoption in critical infrastructure. However, the multitude of benefits that are derived from the IoT paradigm are short-lived due to the exponential rise in the associated security and privacy threats. Adversaries carry out privacy-oriented attacks to gain access to the sensitive and confidential data of critical infrastructure for various self-centered, political and commercial gains. In the past, researchers have employed several privacy preservation approaches including cryptographic encryption and k-anonymity to secure IoT-enabled critical infrastructure. However, for various reasons, those proposed solutions are not well suited for modern IoT-enabled critical infrastructure. Therefore, Dwork’s differential privacy has emerged as the most viable privacy preservation strategy for IoT-enabled critical infrastructure. This paper provides a comprehensive and extensive survey of the application and implementation of differential privacy in four major application domains of IoT-enabled critical infrastructure: Smart Grids (SGs), Intelligent Transport Systems (ITSs), healthcare and medical systems, and Industrial Internet of Things (IIoT). Finally, we discuss some promising future research directions in differential privacy for IoT-enabled critical infrastructure.
format article
author Muhammad Akbar Husnoo
Adnan Anwar
Ripon K. Chakrabortty
Robin Doss
Mike J. Ryan
author_facet Muhammad Akbar Husnoo
Adnan Anwar
Ripon K. Chakrabortty
Robin Doss
Mike J. Ryan
author_sort Muhammad Akbar Husnoo
title Differential Privacy for IoT-Enabled Critical Infrastructure: A Comprehensive Survey
title_short Differential Privacy for IoT-Enabled Critical Infrastructure: A Comprehensive Survey
title_full Differential Privacy for IoT-Enabled Critical Infrastructure: A Comprehensive Survey
title_fullStr Differential Privacy for IoT-Enabled Critical Infrastructure: A Comprehensive Survey
title_full_unstemmed Differential Privacy for IoT-Enabled Critical Infrastructure: A Comprehensive Survey
title_sort differential privacy for iot-enabled critical infrastructure: a comprehensive survey
publisher IEEE
publishDate 2021
url https://doaj.org/article/5ebe3aacd50d46adb3eeb23209eb4b74
work_keys_str_mv AT muhammadakbarhusnoo differentialprivacyforiotenabledcriticalinfrastructureacomprehensivesurvey
AT adnananwar differentialprivacyforiotenabledcriticalinfrastructureacomprehensivesurvey
AT riponkchakrabortty differentialprivacyforiotenabledcriticalinfrastructureacomprehensivesurvey
AT robindoss differentialprivacyforiotenabledcriticalinfrastructureacomprehensivesurvey
AT mikejryan differentialprivacyforiotenabledcriticalinfrastructureacomprehensivesurvey
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