scholarly journals PEKSrand: Providing Predicate Privacy in Public-Key Encryption with Keyword Search

2011 ◽  
Author(s):  
Benwen Zhu ◽  
Bo Zhu ◽  
Kui Ren
Keyword(s):  
Keyword Search ◽  
Public Key ◽  
Public Key Encryption

Decryptable Public Key Encryption with Keyword Search Schemes

2010 ◽  
Vol 4 (9) ◽  
pp. 141-150 ◽  
Author(s):  
Liming Fang ◽  
Jiandong Wang ◽  
Chunpeng Ge ◽  
Yongjun Ren
Keyword(s):  
Keyword Search ◽  
Public Key ◽  
Public Key Encryption

scholarly journals A Multi-User Public Key Encryption with Multi-Keyword Search out of Bilinear Pairings

Sensors ◽  
2020 ◽  
Vol 20 (23) ◽  
pp. 6962
Author(s):  
Shuo Zhang ◽  
Qiaoyan Wen ◽  
Wenmin Li ◽  
Hua Zhang ◽  
Zhengping Jin
Keyword(s):  
Keyword Search ◽  
Daily Life ◽  
Bilinear Pairings ◽  
User Model ◽  
Public Key ◽  
Public Key Encryption ◽  
Private Cloud ◽  
Important Data ◽  
Cloud Server ◽  
Iot Devices

Internet of Things (IoT) and cloud computing are adopted widely in daily life and industrial production. Sensors of IoT equipment gather personal, sensitive and important data, which is stored in a cloud server. The cloud helps users to save cost and collaborate. However, the privacy of data is also at risk. Public-key encryption with keyword search (PEKS) is convenient for users to use the data without leaking privacy. In this article, we give a scheme of PEKS for a multi-user to realize the multi-keyword search at once and extend it to show a rank based on keywords match. The receiver can finish the search by himself or herself. With private cloud and server cloud, most users’ computing can be outsourced. Moreover, the PEKS can be transferred to a multi-user model in which the private cloud is used to manage receivers and outsource. The store cloud and the private cloud both obtain nothing with the keyword information. Then our IoT devices can easily run these protocols. As we do not use any pairing operations, the scheme is under more general assumptions that means the devices do not need to take on the heavy task of calculating pairing.

scholarly journals A PEKS-Based NDN Strategy for Name Privacy

2020 ◽  
Vol 12 (8) ◽  
pp. 130
Author(s):  
Kyi Thar Ko ◽  
Htet Htet Hlaing ◽  
Masahiro Mambo
Keyword(s):  
Keyword Search ◽  
Content Delivery ◽  
Public Key ◽  
Public Key Encryption ◽  
Next Generation ◽  
Named Data Networking ◽  
Next Generation Internet ◽  
Network Cache ◽  
Data Networking

Named Data Networking (NDN), where addressable content name is used, is considered as a candidate of next-generation Internet architectures. NDN routers use In-Network cache to replicate and store passing packets to make faster content delivery. Because NDN uses a human-readable name, it is easy for an adversary to guess what kind of content is requested. To solve this issue, we develop a PEKS-based strategy for forwarding packets, where PEKS stands for public key encryption with keyword search. We implement the PEKS-based strategy based on the best route strategy and multicast strategy of NDN and show the performance of the PEKS-based NDN strategy. We also discuss the issues of the PEKS-based NDN strategy.

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