Improved Fully Adaptive Decentralized MA-ABE for NC1 from MDDH

Jie Chen; Qiaohan Chu; Ying Gao; Jianting Ning; Luping Wang

doi:10.1007/978-981-99-8733-7_1

Improved Fully Adaptive Decentralized MA-ABE for NC1 from MDDH

Jie Chen
, Qiaohan Chu^*
, Ying Gao
, Jianting Ning
, Luping Wang

^*Corresponding author for this work

School of Cyber Science and Technology

East China Normal University
Zhongguancun Laboratory
Fujian Normal University
Suzhou University of Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

We improve the first and the only existing prime-order fully adaptively secure decentralized Multi-Authority Attribute-Based Encryption (MA-ABE) scheme for NC1 in Datta-Komargodski-Waters [Eurocrypt ’23]. Compared with Datta-Komargodski-Waters, our decentralized MA-ABE scheme extra enjoys shorter parameters and meanwhile supports many-use of attribute. Shorter parameters is always the goal for Attribute-Based Encryption (ABE), and many-use of attribute is a native property of decentralized MA-ABE for NC1. Our scheme relies on the Matrix Decision Diffie-Hellman (MDDH) assumption and is in the random oracle model, as Datta-Komargodski-Waters.

Original language	English
Title of host publication	Advances in Cryptology – ASIACRYPT 2023 - 29th International Conference on the Theory and Application of Cryptology and Information Security, Proceedings
Editors	Jian Guo, Ron Steinfeld
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	3-32
Number of pages	30
ISBN (Print)	9789819987320
DOIs	https://doi.org/10.1007/978-981-99-8733-7_1
State	Published - 2023
Event	29th Annual International Conference on the Theory and Application of Cryptology and Information Security, ASIACRYPT 2023 - Guangzhou, China Duration: 4 Dec 2023 → 8 Dec 2023

Publication series

Name	Lecture Notes in Computer Science
Volume	14442 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	29th Annual International Conference on the Theory and Application of Cryptology and Information Security, ASIACRYPT 2023
Country/Territory	China
City	Guangzhou
Period	4/12/23 → 8/12/23

Keywords

Attribute-Based Encryption
Decentralized
Fully Adaptive Security

Access to Document

10.1007/978-981-99-8733-7_1

Cite this

Chen, J., Chu, Q., Gao, Y., Ning, J., & Wang, L. (2023). Improved Fully Adaptive Decentralized MA-ABE for NC1 from MDDH. In J. Guo, & R. Steinfeld (Eds.), Advances in Cryptology – ASIACRYPT 2023 - 29th International Conference on the Theory and Application of Cryptology and Information Security, Proceedings (pp. 3-32). (Lecture Notes in Computer Science; Vol. 14442 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-99-8733-7_1

Chen, Jie ; Chu, Qiaohan ; Gao, Ying et al. / Improved Fully Adaptive Decentralized MA-ABE for NC1 from MDDH. Advances in Cryptology – ASIACRYPT 2023 - 29th International Conference on the Theory and Application of Cryptology and Information Security, Proceedings. editor / Jian Guo ; Ron Steinfeld. Springer Science and Business Media Deutschland GmbH, 2023. pp. 3-32 (Lecture Notes in Computer Science).

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abstract = "We improve the first and the only existing prime-order fully adaptively secure decentralized Multi-Authority Attribute-Based Encryption (MA-ABE) scheme for NC1 in Datta-Komargodski-Waters [Eurocrypt {\textquoteright}23]. Compared with Datta-Komargodski-Waters, our decentralized MA-ABE scheme extra enjoys shorter parameters and meanwhile supports many-use of attribute. Shorter parameters is always the goal for Attribute-Based Encryption (ABE), and many-use of attribute is a native property of decentralized MA-ABE for NC1. Our scheme relies on the Matrix Decision Diffie-Hellman (MDDH) assumption and is in the random oracle model, as Datta-Komargodski-Waters.",

keywords = "Attribute-Based Encryption, Decentralized, Fully Adaptive Security",

author = "Jie Chen and Qiaohan Chu and Ying Gao and Jianting Ning and Luping Wang",

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Chen, J, Chu, Q, Gao, Y, Ning, J & Wang, L 2023, Improved Fully Adaptive Decentralized MA-ABE for NC1 from MDDH. in J Guo & R Steinfeld (eds), Advances in Cryptology – ASIACRYPT 2023 - 29th International Conference on the Theory and Application of Cryptology and Information Security, Proceedings. Lecture Notes in Computer Science, vol. 14442 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 3-32, 29th Annual International Conference on the Theory and Application of Cryptology and Information Security, ASIACRYPT 2023, Guangzhou, China, 4/12/23. https://doi.org/10.1007/978-981-99-8733-7_1

Improved Fully Adaptive Decentralized MA-ABE for NC1 from MDDH. / Chen, Jie; Chu, Qiaohan; Gao, Ying et al.
Advances in Cryptology – ASIACRYPT 2023 - 29th International Conference on the Theory and Application of Cryptology and Information Security, Proceedings. ed. / Jian Guo; Ron Steinfeld. Springer Science and Business Media Deutschland GmbH, 2023. p. 3-32 (Lecture Notes in Computer Science; Vol. 14442 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - We improve the first and the only existing prime-order fully adaptively secure decentralized Multi-Authority Attribute-Based Encryption (MA-ABE) scheme for NC1 in Datta-Komargodski-Waters [Eurocrypt ’23]. Compared with Datta-Komargodski-Waters, our decentralized MA-ABE scheme extra enjoys shorter parameters and meanwhile supports many-use of attribute. Shorter parameters is always the goal for Attribute-Based Encryption (ABE), and many-use of attribute is a native property of decentralized MA-ABE for NC1. Our scheme relies on the Matrix Decision Diffie-Hellman (MDDH) assumption and is in the random oracle model, as Datta-Komargodski-Waters.

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Chen J, Chu Q, Gao Y, Ning J, Wang L. Improved Fully Adaptive Decentralized MA-ABE for NC1 from MDDH. In Guo J, Steinfeld R, editors, Advances in Cryptology – ASIACRYPT 2023 - 29th International Conference on the Theory and Application of Cryptology and Information Security, Proceedings. Springer Science and Business Media Deutschland GmbH. 2023. p. 3-32. (Lecture Notes in Computer Science). doi: 10.1007/978-981-99-8733-7_1