I2Map: IoT Device Attestation Using Integrity Map

Makhdoom, I; Abolhasan, M; Lipman, J; Franklin, D; Piccardi, M

I2Map: IoT Device Attestation Using Integrity Map

Makhdoom, I

Abolhasan, M

Lipman, J

Franklin, D

Piccardi, M

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Publisher:: Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:: Conference Proceeding
Citation:: Proceedings - 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom/BigDataSE/CSE/EUC/iSCI 2023, 2024, 00, pp. 1900-1907
Issue Date:: 2024-05-29

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Field	Value	Language
dc.contributor.author	Makhdoom, I https://orcid.org/0000-0002-6205-5897
dc.contributor.author	Abolhasan, M https://orcid.org/0000-0002-4282-6666
dc.contributor.author	Lipman, J https://orcid.org/0000-0003-2877-1168
dc.contributor.author	Franklin, D https://orcid.org/0000-0002-9563-5943
dc.contributor.author	Piccardi, M https://orcid.org/0000-0001-9250-6604
dc.date	2023-11-01
dc.date.accessioned	2024-08-07T05:43:17Z
dc.date.available	2024-08-07T05:43:17Z
dc.date.issued	2024-05-29
dc.identifier.citation	Proceedings - 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom/BigDataSE/CSE/EUC/iSCI 2023, 2024, 00, pp. 1900-1907
dc.identifier.uri	http://hdl.handle.net/10453/180347
dc.description.abstract	The reliability of any IoT system's operation depends upon the accuracy of sensor data. Numerous sensing devices are also embedded in autonomous systems. The adversary can manipulate the output of an IoT device, such as a speed sensor or a temperature sensor, by altering its hardware, software modules, network parameters, or device configuration. These unauthorized changes may affect the legitimate operation of the autonomous system and cause a malfunction or a safety hazard. In addition, the corrupt sensor data may also affect the machine learning models by introducing false training data or biasing the model towards certain decisions to cause the autonomous system to make incorrect decisions. The existing techniques mostly perform memory attestation or ensure the secure execution of an application. In addition, current approaches have unrealistic assumptions about adversaries' capabilities and rely on trusted parties to initiate and run the attestation protocol. No existing technique provides all the required security features, including protection against return-oriented programming and network attacks, including interference, rainbow, and physical compromise. Hence, this research presents a secure and efficient version of a unique hybrid attestation scheme "I2Map"that detects a malicious or malfunctioning IoT device based on an integrity map. The performance analysis infers that I2Map performs better in transaction commit time and transaction costs with more device parameters than its predecessor.
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof	Proceedings - 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom/BigDataSE/CSE/EUC/iSCI 2023
dc.relation.ispartof	2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
dc.relation.isbasedon	10.1109/TrustCom60117.2023.00258
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	I2Map: IoT Device Attestation Using Integrity Map
dc.type	Conference Proceeding
utslib.citation.volume	00
utslib.location.activity	United Kingdom
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Strength - CRIN - Realtime Information Networks
pubs.organisational-group	University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	University of Technology Sydney/Strength - TRC - Transport Research Centre
pubs.organisational-group	University of Technology Sydney/All Manual Groups
pubs.organisational-group	University of Technology Sydney/All Manual Groups/Global Big Data Technologies Research Centre (GBDTC)
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2024-08-07T05:43:15Z
pubs.finish-date	2023-11-03
pubs.publication-status	Published
pubs.start-date	2023-11-01
pubs.volume	00

Abstract:

The reliability of any IoT system's operation depends upon the accuracy of sensor data. Numerous sensing devices are also embedded in autonomous systems. The adversary can manipulate the output of an IoT device, such as a speed sensor or a temperature sensor, by altering its hardware, software modules, network parameters, or device configuration. These unauthorized changes may affect the legitimate operation of the autonomous system and cause a malfunction or a safety hazard. In addition, the corrupt sensor data may also affect the machine learning models by introducing false training data or biasing the model towards certain decisions to cause the autonomous system to make incorrect decisions. The existing techniques mostly perform memory attestation or ensure the secure execution of an application. In addition, current approaches have unrealistic assumptions about adversaries' capabilities and rely on trusted parties to initiate and run the attestation protocol. No existing technique provides all the required security features, including protection against return-oriented programming and network attacks, including interference, rainbow, and physical compromise. Hence, this research presents a secure and efficient version of a unique hybrid attestation scheme "I2Map"that detects a malicious or malfunctioning IoT device based on an integrity map. The performance analysis infers that I2Map performs better in transaction commit time and transaction costs with more device parameters than its predecessor.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/180347