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A Lightweight Smart Contract Framework for Behavior-Based Dynamic Identity Revocation in IoT Systems

Journal of Robotics and Control (JRC) · Vol. 6 No. 6 (2025) · hlm. 2799–2813

DOI
10.18196/jrc.v6i6.27204
ISSN
2715-5072, 2715-5056
Terbit
2025-11-30
Penerbit
Universitas Muhammadiyah Yogyakarta
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

With the Internet of Things (IoT) venturing into life and death area, distributing identity management has never become an important condition to meet for trust model such like security, auditability and being capable of failure. Traditional blockchain identity systems are mostly limited to registration, verification, without dynamic revocation and recovery features. In this paper, we propose a lightweight smart contract-driven framework to deal with dynamic trust based on real-time events in IoT networks. The research contribution is a modular architecture with which to programmatic revocation using behavior-based triggers, threshold consensus voting, and timelocked expiry as part of on-chain policy logic. In addition, a re-enrollment protocol tied to the certification ensures authenticity and lifetime after revocation. From a methodological point of view, the system is deployed as an Ethereum-based system and consists of 3 main building block components: (1) an Identity Registry, (2) a Revocation Policy Manager, and (3) an Access Monitor coupled with offchain oracles. The system guarantees constant-time (O(1)) lookups for identity checks and policy evaluation, that are protected by unforgeable event logs. Performance analysis shows that our proposed solution incurs low computational overhead (≤ 45 ms on ARM Cortex-M4), small communication cost (2.1 KB per transaction), and little gas consumption (≤ 115,000 units). The model achieves 2× speedup over state-of-the-art models EBIAS, Zhang et al., and Song et al. when preserving auditability and privacy. To summarize, the framework provides a scalable, secure and autonomous trust lifecycle management solution for IoT. The model will be extended in future with post-quantum cryptographic building blocks and machine learning—based anomaly scoring to develop the adaptive trust dynamics in real-world test beds.

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  • University of Basrah
  • Southern Technical University
  • Universiti Sains Malaysia
  • University of Kerbala
  • University of Jordan
  • King Faisal University
  • Shatt Al-Arab University College
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Rekan penulisOrganisasiArtikel bersama
Mohammed Amin AlmaiahUniversity of Jordan16
Jalal Mohammed Hachim AltmemiSouthern Technical University9
Huda Mohammed AlsayednoorShatt Al-Arab University College8
Faris K. AL-ShammriUniversity of Warith Al-Anbiyaa8
Murtaja Ali SaareUniversity of Basrah6
Md Asri NgadiUniversity of Technology Malaysia6
Abdulaziz Zaid A. AljarwanUniversity of Ha'il6
Mansour ObeidatAfiliasi tidak diketahui5
Abdulnasser AbdulJabbar AbboodAfiliasi tidak diketahui5
Ali A. AlaidanyShatt Al-Arab University College5
Ghazi Jalal KasheshUniversity of Kerbala4
Rommel Mahmoud AlAliKing Faisal University3
May Adnan FalehSouthern Technical University3
Ali M. AbdulsadaUniversity of Warith Al-Anbiyaa3
Mohamed Abdulrahman AbdulhamedUniversity of Basrah3
Mustafa Moosa QasimUniversity of Basrah3
Akram Hussain Abd AliUniversity of Basrah3
Bushra Abdullah ShtaytSouthern Technical University3
Selvakumar ManickamUniversiti Sains Malaysia2
Shankar KaruppayahUniversiti Sains Malaysia2
Marwa K. FarhanMinistry of Higher Education and Scientific Research2
Rommel Al AliAfiliasi tidak diketahui2
Saadaldeen Rashid AhmedAl-Ayen Iraqi University2
Nada Mohammed MuradMinistry of Higher Education and Scientific Research2
Ali Adil YassinUniversity of Basrah1
Devamekalai NagasundaramUniversiti Sains Malaysia1
Sababathy PalanisamyUniversiti Sains Malaysia1
Erum AshrafBahria University1
Mohammed Thakir MahmoodAfiliasi tidak diketahui1
Wassan Adnan HashimAl-Qalam University1
Saadaldeen Rashid AhmedBayan University1

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Sumber metadata: OAI-PMH (metadata jurnal) https://journal.umy.ac.id/index.php/jrc/oai, pertama di-harvest 9 Nov 2026, terakhir terlihat 9 Nov 2026.
Metadata asli (oai_dc)
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	<dc:title xml:lang="en-US">A Lightweight Smart Contract Framework for Behavior-Based Dynamic Identity Revocation in IoT Systems</dc:title>
	<dc:creator>Mahameed, Ans Ibrahim</dc:creator>
	<dc:creator>Ali, Hussein Ahmed</dc:creator>
	<dc:creator>Mohan, Karrar Oun</dc:creator>
	<dc:creator>Hassan, Fatima Sameer</dc:creator>
	<dc:creator>Kaishesh, Abbas Jalal</dc:creator>
	<dc:creator>Alzamili, Zainab Marid</dc:creator>
	<dc:creator>Al-Shareeda‬‏, ‪Mahmood A.</dc:creator>
	<dc:creator>Almaiah, Mohammed Amin</dc:creator>
	<dc:creator>Shehab, Rami</dc:creator>
	<dc:subject xml:lang="en-US">Smart Contract–Based Identity Management</dc:subject>
	<dc:subject xml:lang="en-US">PolicyDriven Revocation</dc:subject>
	<dc:subject xml:lang="en-US">Cryptographic Re-enrollment</dc:subject>
	<dc:subject xml:lang="en-US">Behavior-Based Trust</dc:subject>
	<dc:subject xml:lang="en-US">Threshold Consensus</dc:subject>
	<dc:subject xml:lang="en-US">Decentralized IoT Security</dc:subject>
	<dc:subject xml:lang="en-US">Auditability</dc:subject>
	<dc:subject xml:lang="en-US">Sybil Attack Resistance</dc:subject>
	<dc:description xml:lang="en-US">With the Internet of Things (IoT) venturing into life and death area, distributing identity management has never become an important condition to meet for trust model such like security, auditability and being capable of failure. Traditional blockchain identity systems are mostly limited to registration, verification, without dynamic revocation and recovery features. In this paper, we propose a lightweight smart contract-driven framework to deal with dynamic trust based on real-time events in IoT networks. The research contribution is a modular architecture with which to programmatic revocation using behavior-based triggers, threshold consensus voting, and timelocked expiry as part of on-chain policy logic. In addition, a re-enrollment protocol tied to the certification ensures authenticity and lifetime after revocation. From a methodological point of view, the system is deployed as an Ethereum-based system and consists of 3 main building block components: (1) an Identity Registry, (2) a Revocation Policy Manager, and (3) an Access Monitor coupled with offchain oracles. The system guarantees constant-time (O(1)) lookups for identity checks and policy evaluation, that are protected by unforgeable event logs. Performance analysis shows that our proposed solution incurs low computational overhead (≤ 45 ms on ARM Cortex-M4), small communication cost (2.1 KB per transaction), and little gas consumption (≤ 115,000 units). The model achieves 2× speedup over state-of-the-art models EBIAS, Zhang et al., and Song et al. when preserving auditability and privacy. To summarize, the framework provides a scalable, secure and autonomous trust lifecycle management solution for IoT. The model will be extended in future with post-quantum cryptographic building blocks and machine learning—based anomaly scoring to develop the adaptive trust dynamics in real-world test beds.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Muhammadiyah Yogyakarta</dc:publisher>
	<dc:date>2025-11-30</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.umy.ac.id/index.php/jrc/article/view/27204</dc:identifier>
	<dc:identifier>10.18196/jrc.v6i6.27204</dc:identifier>
	<dc:source xml:lang="en-US">Journal of Robotics and Control (JRC); Vol. 6 No. 6 (2025); 2799-2813</dc:source>
	<dc:source>2715-5072</dc:source>
	<dc:source>2715-5056</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.umy.ac.id/index.php/jrc/article/view/27204/12067</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2025 Ans Ibrahim Mahameed, Hussein Ahmed Ali, Karrar Oun Mohan, Fatima Sameer Hassan, Abbas Jalal Kaishesh, Zainab Marid Alzamili, ‪Mahmood A. Al-Shareeda‬‏, Mohammed Amin Almaiah, Rami Shehab</dc:rights>
	<dc:rights xml:lang="en-US">https://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>