A designated cloud server-based multi-user certificateless public key authenticated encryption with conjunctive keyword search against IKGA

2021 ◽  
pp. 103603
Author(s):  
Mr Venkata Bhikshapathi Chenam ◽  
Syed Taqi Ali
2020 ◽  
Vol 516 ◽  
pp. 515-528 ◽  
Author(s):  
Baodong Qin ◽  
Yu Chen ◽  
Qiong Huang ◽  
Ximeng Liu ◽  
Dong Zheng

Sensors ◽  
2020 ◽  
Vol 20 (23) ◽  
pp. 6962
Author(s):  
Shuo Zhang ◽  
Qiaoyan Wen ◽  
Wenmin Li ◽  
Hua Zhang ◽  
Zhengping Jin

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.


Author(s):  
Biwen Chen ◽  
Libing Wu ◽  
Sherali Zeadally ◽  
Debiao He

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Daini Wu ◽  
Xiaoming Wang ◽  
Qingqing Gan

A public key encryption scheme with keyword search capabilities is proposed using lattices for applications in multiuser environments. The proposed scheme enables a cloud server to check if any given encrypted data contains certain keywords specified by multiple users, but the server would not have knowledge of the keywords specified by the users or the contents of the encrypted data, which provides data privacy as well as privacy for user queries in multiuser environments. It can be proven secure under the standard learning with errors assumption in the random oracle model.


2019 ◽  
Vol 12 (3) ◽  
pp. 133-153 ◽  
Author(s):  
Mamta ◽  
Brij B. Gupta ◽  
Syed Taqi Ali

Public-key encryption with keyword search (PEKS) is a well-known technique which allows searching on encrypted data using the public key system. However, this technique suffers from the keyword guessing attack (KGA). To address this problem, a modified version of PEKS called public key encryption with fuzzy keyword search (PEFKS) has been introduced where each keyword is associated with an exact search trapdoor (EST) and a fuzzy search trapdoor (FST) which is provided to the cloud server. PEFKS prevents KGA in such a way that two or maximum three keywords share the same FST. Hence, even if the cloud server knows the FST it cannot link it to the corresponding keyword. But, with a probability of 1/3 the malicious cloud server can still guess the keyword corresponding to FST. Therefore, in this article, the authors present an approach which can improve the security of the PEFKS technique by reducing the probability of guessing the keyword to 1/k where k is the number of keywords that share the same FST, thus enhancing the overall reliability. In addition, the authors have used an identity-based encryption (IBE) as an underlying technique to construct the searchable encryption scheme and proved its security in the standard model.


2021 ◽  
pp. 19-38
Author(s):  
Baodong Qin ◽  
Hui Cui ◽  
Xiaokun Zheng ◽  
Dong Zheng

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Lidong Han ◽  
Junling Guo ◽  
Guang Yang ◽  
Qi Xie ◽  
Chengliang Tian

2019 ◽  
Vol 13 (4) ◽  
pp. 336-342 ◽  
Author(s):  
Mahnaz Noroozi ◽  
Ziba Eslami

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