Lightweight Distributed Attribute Based Keyword Search System for Internet of Things

Jiahuan LONG; Ke ZHANG; Xiaofen WANG; Hong Ning DAI

doi:10.1007/978-3-030-24900-7_21

Lightweight Distributed Attribute Based Keyword Search System for Internet of Things

Jiahuan LONG, Ke ZHANG, Xiaofen WANG^*, Hong Ning DAI

^*Corresponding author for this work

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

4 Citations (Scopus)

Abstract

Internet of Things (IoT) is a promising networking paradigm that connects various kinds of sensors and exchanges data from smart devices. Since IoT always related to user’s daily life, the problems of security and privacy are of great importance. Presently, the attribute based encryption (ABE) is a popular solution to guarantee the fine-grained sharing of encrypted data in IoT. In this paper, an attribute based keyword search with lightweight decryption in multi-authority (ABKS-LD-MA) is proposed. Our system supports multi-keyword search in cloud by using searchable attribute based encryption. We also integrate the lightweight decryption to searchable ABE scheme that largely reduces the computing overhead for users. Furthermore, our ABKS-LD-MA scheme supports multi-authority scenario, which is more adaptive to the real IoT environment. The experiment analysis shows that our scheme has relatively lowered the communication cost on IoT devices.

Original language	English
Title of host publication	Security, Privacy, and Anonymity in Computation, Communication, and Storage - SpaCCS 2019 International Workshops, Proceedings
Editors	Guojun Wang, Jun Feng, Md Zakirul Alam Bhuiyan, Rongxing Lu
Publisher	Springer-Verlag GmbH and Co. KG
Pages	253-264
Number of pages	12
ISBN (Print)	9783030248994
DOIs	https://doi.org/10.1007/978-3-030-24900-7_21
Publication status	Published - Jul 2019
Externally published	Yes
Event	12th International Conference on Security, Privacy, and Anonymity in Computation, Communication, and Storage, SpaCCS 2019 - Atlanta, United States Duration: 14 Jul 2019 → 17 Jul 2019

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11637 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	12th International Conference on Security, Privacy, and Anonymity in Computation, Communication, and Storage, SpaCCS 2019
Country/Territory	United States
City	Atlanta
Period	14/07/19 → 17/07/19

Bibliographical note

Funding Information:
Acknowledgments. The paper is partially supported by the Sichuan Science and Technology Program (No. 2019YFG0405), the 6th Innovation and Entrepreneurship Leading Talents Project of Dongguan, the Project of Science and Technology on Electronic Information Control Laboratory, the National Natural Science Foundation of China under Grants U1833122, and the Macao Science and Technology Development Fund under Grants 0026/2018/A1.

Publisher Copyright:
© 2019, Springer Nature Switzerland AG.

Keywords

ABE
IoT
Lightweight decryption
Multi-authority
Multi-keyword search

Access to Document

10.1007/978-3-030-24900-7_21

Cite this

LONG, J., ZHANG, K., WANG, X., & DAI, H. N. (2019). Lightweight Distributed Attribute Based Keyword Search System for Internet of Things. In G. Wang, J. Feng, M. Z. A. Bhuiyan, & R. Lu (Eds.), Security, Privacy, and Anonymity in Computation, Communication, and Storage - SpaCCS 2019 International Workshops, Proceedings (pp. 253-264). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11637 LNCS). Springer-Verlag GmbH and Co. KG. https://doi.org/10.1007/978-3-030-24900-7_21

LONG, Jiahuan ; ZHANG, Ke ; WANG, Xiaofen ; DAI, Hong Ning. / Lightweight Distributed Attribute Based Keyword Search System for Internet of Things. Security, Privacy, and Anonymity in Computation, Communication, and Storage - SpaCCS 2019 International Workshops, Proceedings. editor / Guojun Wang ; Jun Feng ; Md Zakirul Alam Bhuiyan ; Rongxing Lu. Springer-Verlag GmbH and Co. KG, 2019. pp. 253-264 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{24c919db4fb748788bc06130b0695d65,

title = "Lightweight Distributed Attribute Based Keyword Search System for Internet of Things",

abstract = "Internet of Things (IoT) is a promising networking paradigm that connects various kinds of sensors and exchanges data from smart devices. Since IoT always related to user{\textquoteright}s daily life, the problems of security and privacy are of great importance. Presently, the attribute based encryption (ABE) is a popular solution to guarantee the fine-grained sharing of encrypted data in IoT. In this paper, an attribute based keyword search with lightweight decryption in multi-authority (ABKS-LD-MA) is proposed. Our system supports multi-keyword search in cloud by using searchable attribute based encryption. We also integrate the lightweight decryption to searchable ABE scheme that largely reduces the computing overhead for users. Furthermore, our ABKS-LD-MA scheme supports multi-authority scenario, which is more adaptive to the real IoT environment. The experiment analysis shows that our scheme has relatively lowered the communication cost on IoT devices.",

keywords = "ABE, IoT, Lightweight decryption, Multi-authority, Multi-keyword search",

author = "Jiahuan LONG and Ke ZHANG and Xiaofen WANG and DAI, {Hong Ning}",

note = "Funding Information: Acknowledgments. The paper is partially supported by the Sichuan Science and Technology Program (No. 2019YFG0405), the 6th Innovation and Entrepreneurship Leading Talents Project of Dongguan, the Project of Science and Technology on Electronic Information Control Laboratory, the National Natural Science Foundation of China under Grants U1833122, and the Macao Science and Technology Development Fund under Grants 0026/2018/A1. Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; 12th International Conference on Security, Privacy, and Anonymity in Computation, Communication, and Storage, SpaCCS 2019 ; Conference date: 14-07-2019 Through 17-07-2019",

year = "2019",

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doi = "10.1007/978-3-030-24900-7_21",

language = "English",

isbn = "9783030248994",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer-Verlag GmbH and Co. KG",

pages = "253--264",

editor = "Guojun Wang and Jun Feng and Bhuiyan, {Md Zakirul Alam} and Rongxing Lu",

booktitle = "Security, Privacy, and Anonymity in Computation, Communication, and Storage - SpaCCS 2019 International Workshops, Proceedings",

address = "Germany",

}

LONG, J, ZHANG, K, WANG, X & DAI, HN 2019, Lightweight Distributed Attribute Based Keyword Search System for Internet of Things. in G Wang, J Feng, MZA Bhuiyan & R Lu (eds), Security, Privacy, and Anonymity in Computation, Communication, and Storage - SpaCCS 2019 International Workshops, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11637 LNCS, Springer-Verlag GmbH and Co. KG, pp. 253-264, 12th International Conference on Security, Privacy, and Anonymity in Computation, Communication, and Storage, SpaCCS 2019, Atlanta, United States, 14/07/19. https://doi.org/10.1007/978-3-030-24900-7_21

Lightweight Distributed Attribute Based Keyword Search System for Internet of Things. / LONG, Jiahuan; ZHANG, Ke; WANG, Xiaofen; DAI, Hong Ning.

Security, Privacy, and Anonymity in Computation, Communication, and Storage - SpaCCS 2019 International Workshops, Proceedings. ed. / Guojun Wang; Jun Feng; Md Zakirul Alam Bhuiyan; Rongxing Lu. Springer-Verlag GmbH and Co. KG, 2019. p. 253-264 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11637 LNCS).

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

TY - GEN

T1 - Lightweight Distributed Attribute Based Keyword Search System for Internet of Things

AU - LONG, Jiahuan

AU - ZHANG, Ke

AU - WANG, Xiaofen

AU - DAI, Hong Ning

N1 - Funding Information: Acknowledgments. The paper is partially supported by the Sichuan Science and Technology Program (No. 2019YFG0405), the 6th Innovation and Entrepreneurship Leading Talents Project of Dongguan, the Project of Science and Technology on Electronic Information Control Laboratory, the National Natural Science Foundation of China under Grants U1833122, and the Macao Science and Technology Development Fund under Grants 0026/2018/A1. Publisher Copyright: © 2019, Springer Nature Switzerland AG.

PY - 2019/7

Y1 - 2019/7

N2 - Internet of Things (IoT) is a promising networking paradigm that connects various kinds of sensors and exchanges data from smart devices. Since IoT always related to user’s daily life, the problems of security and privacy are of great importance. Presently, the attribute based encryption (ABE) is a popular solution to guarantee the fine-grained sharing of encrypted data in IoT. In this paper, an attribute based keyword search with lightweight decryption in multi-authority (ABKS-LD-MA) is proposed. Our system supports multi-keyword search in cloud by using searchable attribute based encryption. We also integrate the lightweight decryption to searchable ABE scheme that largely reduces the computing overhead for users. Furthermore, our ABKS-LD-MA scheme supports multi-authority scenario, which is more adaptive to the real IoT environment. The experiment analysis shows that our scheme has relatively lowered the communication cost on IoT devices.

AB - Internet of Things (IoT) is a promising networking paradigm that connects various kinds of sensors and exchanges data from smart devices. Since IoT always related to user’s daily life, the problems of security and privacy are of great importance. Presently, the attribute based encryption (ABE) is a popular solution to guarantee the fine-grained sharing of encrypted data in IoT. In this paper, an attribute based keyword search with lightweight decryption in multi-authority (ABKS-LD-MA) is proposed. Our system supports multi-keyword search in cloud by using searchable attribute based encryption. We also integrate the lightweight decryption to searchable ABE scheme that largely reduces the computing overhead for users. Furthermore, our ABKS-LD-MA scheme supports multi-authority scenario, which is more adaptive to the real IoT environment. The experiment analysis shows that our scheme has relatively lowered the communication cost on IoT devices.

KW - ABE

KW - IoT

KW - Lightweight decryption

KW - Multi-authority

KW - Multi-keyword search

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U2 - 10.1007/978-3-030-24900-7_21

DO - 10.1007/978-3-030-24900-7_21

M3 - Conference paper (refereed)

AN - SCOPUS:85069825544

SN - 9783030248994

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 253

EP - 264

BT - Security, Privacy, and Anonymity in Computation, Communication, and Storage - SpaCCS 2019 International Workshops, Proceedings

A2 - Wang, Guojun

A2 - Feng, Jun

A2 - Bhuiyan, Md Zakirul Alam

A2 - Lu, Rongxing

PB - Springer-Verlag GmbH and Co. KG

T2 - 12th International Conference on Security, Privacy, and Anonymity in Computation, Communication, and Storage, SpaCCS 2019

Y2 - 14 July 2019 through 17 July 2019

ER -

LONG J, ZHANG K, WANG X, DAI HN. Lightweight Distributed Attribute Based Keyword Search System for Internet of Things. In Wang G, Feng J, Bhuiyan MZA, Lu R, editors, Security, Privacy, and Anonymity in Computation, Communication, and Storage - SpaCCS 2019 International Workshops, Proceedings. Springer-Verlag GmbH and Co. KG. 2019. p. 253-264. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-24900-7_21

Lightweight Distributed Attribute Based Keyword Search System for Internet of Things

Abstract

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Bibliographical note

Keywords

Access to Document

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