Oblivious transfer with hidden access control and outsourced decryption from deterministic finite automata‐based functional encryption for an in‐vehicle sensor database system

2020 ◽  
Author(s):  
Abubaker Wahaballa ◽  
Zhiguang Qin ◽  
Hisham Abdalla ◽  
Majdi Abdellatief ◽  
Mohamed A. Elfaki
Keyword(s):  
Access Control ◽  
Finite Automata ◽  
Database System ◽  
Oblivious Transfer ◽  
Functional Encryption ◽  
Deterministic Finite Automata ◽  
Outsourced Decryption ◽  
Vehicle Sensor

scholarly journals Adaptive Oblivious Transfer with Access Control from Lattice Assumptions

2021 ◽  
Author(s):  
Benoît Libert ◽  
San Ling ◽  
Fabrice Mouhartem ◽  
Khoa Nguyen ◽  
Huaxiong Wang
Keyword(s):  
Access Control ◽  
Oblivious Transfer

Access Control Based on File View

2013 ◽  
Vol 380-384 ◽  
pp. 1947-1950
Author(s):  
Xin Yu Mao
Keyword(s):  
Access Control ◽  
Hierarchical Structure ◽  
File System ◽  
Database System ◽  
Layer By Layer ◽  
Logic Block ◽  
The Hierarchical Structure ◽  
Tree Type ◽  
Logic Structure

Constructing the tree type logic structure of a file and introducing the view mechanism of database system into the file system, the hierarchical structure of view files is created. Different files ( view files ) are provided to different users according to their levels or interests by mapping layer by layer with beginning of the minimum access unit (the logic block). It can solve the problem of the discrepancy of users views.

Deterministic finite automata with recursive calls and DPDAs

2003 ◽  
Vol 87 (4) ◽  
pp. 187-193
Author(s):  
Jean H. Gallier ◽  
Salvatore La Torre ◽  
Supratik Mukhopadhyay
Keyword(s):  
Finite Automata ◽  
Deterministic Finite Automata

The detection and stabilisation of limit cycle for deterministic finite automata

2017 ◽  
Vol 91 (4) ◽  
pp. 874-886 ◽  
Author(s):  
Xiaoguang Han ◽  
Zengqiang Chen ◽  
Zhongxin Liu ◽  
Qing Zhang
Keyword(s):  
Limit Cycle ◽  
Finite Automata ◽  
Deterministic Finite Automata

scholarly journals Balancing Access Control and Privacy for Data Deduplication via Functional Encryption

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Bo Mi ◽  
Ping Long ◽  
Yang Liu ◽  
Fengtian Kuang
Keyword(s):  
Access Control ◽  
Security Analysis ◽  
Functional Encryption ◽  
Data Deduplication ◽  
Paper Briefly ◽  
Storage Security ◽  
Redundancy Removal ◽  
Proof Of Ownership ◽  
Learning With Errors ◽  
And Storage

Data deduplication serves as an effective way to optimize the storage occupation and the bandwidth consumption over clouds. As for the security of deduplication mechanism, users’ privacy and accessibility are of utmost concern since data are outsourced. However, the functionality of redundancy removal and the indistinguishability of deduplication labels are naturally incompatible, which bring about a lot of threats on data security. Besides, the access control of sharing copies may lead to infringement on users’ attributes and cumbersome query overheads. To balance the usability with the confidentiality of deduplication labels and securely realize an elaborate access structure, a novel data deduplication scheme is proposed in this paper. Briefly speaking, we drew support from learning with errors (LWE) to make sure that the deduplication labels are only differentiable during the duplication check process. Instead of authority matching, the proof of ownership (PoW) is then implemented under the paradigm of inner production. Since the deduplication label is light-weighted and the inner production is easy to carry out, our scheme is more efficient in terms of computation and storage. Security analysis also indicated that the deduplication labels are distinguishable only for duplication check, and the probability of falsifying a valid ownership is negligible.

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