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 |
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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 | |
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) |
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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 |
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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