@inproceedings{2401d86e7a1049dfb85e5b6138fd14a1,
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 = "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, SpaCCS 2019 ; Conference date: 14-07-2019 Through 17-07-2019",
year = "2019",
month = jul,
day = "10",
doi = "10.1007/978-3-030-24900-7\_21",
language = "English",
isbn = "9783030248994",
series = "Lecture Notes in Computer Science",
publisher = "Springer Cham",
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",
edition = "1st",
url = "https://link.springer.com/book/10.1007/978-3-030-24907-6",
}