Visible to the public Biblio

Filters: Keyword is access tree  [Clear All Filters]
2022-01-25
Qian, Xinyuan, Wu, Wenyuan.  2021.  An Efficient Ciphertext Policy Attribute-Based Encryption Scheme from Lattices and Its Implementation. 2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS). :732–742.
Lattice-based Attribute-based encryption is a well-known cryptographic mechanism that can resist quantum attacks and has the ability of fine-grained access control, and it has a wide range of application scenarios in current Internet of Thing (IoT) era. However, lack of efficiency and existing the problem of large ciphertext expansion rate are the main disadvantages impede the applications of this mechanism. Thus, we propose an efficient and practical ciphertext policy attribute-based encryption (CP-ABE) scheme from lattices in the paper. In this scheme, to make the secret key reusable, we adjust access tree and propose a basic access tree structure, which can be converted from disjunctive normal form, and combine it with a light post-quantum scheme of Kyber. In addition, the compression method and plaintext expansion method are introduced to optimize the scheme. Our CP-ABE scheme is secure against chosen plaintext attack under the hardness of module learning with errors problem. We implement our scheme and compare it with three recent related schemes in terms of security, function and communication cost. Experiments and comparisons show that our CP-ABE scheme has advantages in high encryption efficiency, small matrix dimension, small key sizes, and low ciphertext expansion rate, which has some merit in practice.
2020-05-22
Wang, Xi, Yao, Jun, Ji, Hongxia, Zhang, Ze, Li, Chen, Ma, Beizhi.  2018.  A Local Integral Hash Nearest Neighbor Algorithm. 2018 3rd International Conference on Mechanical, Control and Computer Engineering (ICMCCE). :544—548.

Nearest neighbor search algorithm plays a very important role in computer image algorithm. When the search data is large, we need to use fast search algorithm. The current fast retrieval algorithms are tree based algorithms. The efficiency of the tree algorithm decreases sharply with the increase of the data dimension. In this paper, a local integral hash nearest neighbor algorithm of the spatial space is proposed to construct the tree structure by changing the way of the node of the access tree. It is able to express data distribution characteristics. After experimental testing, this paper achieves more efficient performance in high dimensional data.