摘要：
During past few years, some lightweight block ciphers have been proposed. These lightweight block ciphers take single encryption method that either uses Substitution-Permutation (SP) network structure or Feistel network structure to encrypt. In this paper, we have designed a different encryption method that takes both SP network structure and Feistel network structure to encrypt. Current SP network has a limitation that the encryption and decryption processes are dissimilar. To solve this problem, we have employed involution related properties of the nonlinear and linear components to modify SP network structure. The modified one enables the encryption and decryption program or circuit to work as the Feistel network structure. Additionally, we have implemented a MixRows in SP network structure. Then we instantiate these three novel ideas into the lightweight block cipher called SFN. We have carried out the security evaluation and the hardware and software experiments to it. The result shows that compared to other lightweight block ciphers, SFN has more advantages in terms of being immune to attacks. Also, SFN is not only compact in hardware environment but also efficient in software platforms.
摘要：
本发明提供了一种轻量级密码算法HBcipher实现方法与装置，该方法在加密或解密过程中所使用的轮函数采用三组SPN结构的F函数，且在轮函数中提出一种新的P2置换方式。通过选取轮常数count作为轮运算控制信号，根据count的奇偶性设计两种不同的运算方式；算法通过Xilinx ISE Design Suite 13.2硬件实现时，HBcipher‑64的吞吐率为511.38Mbps，HBcipher‑128的吞吐率为716.6848Mbps，相较于目前轻量级密码算法，加密效率较高。
作者机构：
[贺位位; 邹祎; 刘波涛; Li, Lang] Department of Computer Science, Hengyang Normal University, Hengyang, Hunan, 421008, China;[Li, Lang; 李浪] College of Information Science and Engineering, Hunan University, Changsha, Hunan, 410082, China
通讯机构：
Department of Computer Science, Hengyang Normal University, Hengyang, Hunan, China
期刊：
Proceedings of Science,2017年2017-December:43-52 ISSN：1824-8039
作者机构：
[Hongwei Deng; Lang Li; Hui Wang] School of Computer Science and Technology,Hengyang Normal University;[Hongwei Deng; Lang Li; Hui Wang] School of Information Science and Engineering,Central South University;[Hongwei Deng; Lang Li; Hui Wang] Hunan Provincial Key Laboratory of Intelligent Information Processing and Application;[Hongwei Deng; Lang Li; Hui Wang] School of Computer Science and Technology Hengyang Normal University
会议名称：
ISCC 2017-the 5th International Conference on Information Science and Cloud Computing
期刊：
Proceedings of Science,2017年2017-July:9-15 ISSN：1824-8039
作者机构：
[Ge Jiao; Lang Li; Yi Zou] College of Computer Science and Technology,Hengyang Normal University,Hunan Provincial Engineering Laboratory for Technology of Traditional Settlements Digitalization,Hunan Provincial Key Laboratory of Intelligent Information Processing and Application
会议名称：
CENet 2017-the 7th International Conference on Computer Engineering and Networks
作者机构：
[Chen, Yuan; Li, Long] Hengyang Normal Univ, Coll Math & Stat, Hengyang 421008, Peoples R China.;[Qiao, Zhijun] Univ Texas Rio Grande Valley, Sch Math & Stat Sci, Edinburg, TX 78539 USA.;[Liu, Yan] Dalian Polytech Univ, Dept Appl Math, Dalian 116034, Peoples R China.
通讯机构：
[Li, Long] H;Hengyang Normal Univ, Coll Math & Stat, Hengyang 421008, Peoples R China.
摘要：
In this paper, a smooth function is constructed to approximate the nonsmooth output of max-min fuzzy neural networks (FNNs) and its approximation is also presented. In place of the output of max-min FNNs by its smoothing approximation function, the error function, defining the discrepancy between the actual outputs and desired outputs of max-min FNNs, becomes a continuously differentiable function. Then, a smoothing gradient decent-based algorithm with Armijo-Goldstein step size rule is formulated to train max-min FNNs. Based on the existing convergent result, the convergence of our proposed algorithm can easily be obtained. Furthermore, the proposed algorithm also provides a feasible procedure to solve fuzzy relational equations with max-min composition. Finally, some numerical examples are implemented to support our results and demonstrate that the proposed smoothing algorithm has better learning performance than other two gradient decent-based algorithms. (C) 2017 Elsevier B.V. All rights reserved.
摘要：
We propose a new ultra-lightweight block cipher, QTL. The 64 bits block cipher QTL supports 64 and 128 bits keys. To solve the slow diffusion of the traditional Feistel-type structures we have used a new variant of generalized Feistel network structure in design of the QTL. Traditional Feistel-type structures change only half of block messages in an iterative round, but our structure overcomes this disadvantage and changes all block messages. Thus, our structure has the fast diffusion of the Substitution Permutation Networks (SPNs) structures, which improves the security of lightweight block cipher in Feistel-type structures. Moreover, QTL algorithm has the same encryption and decryption processes, so it will occupy less area in resource-constrained applications. Furthermore, to reduce the cost of energy consumption in hardware implementation of the cipher while maintaining security, we decide not to use a key schedule. We show that QTL offers an adequate security level against classic analyses. Our hardware implementation for the 64 and the 128 bits keys modes only require 1025.52 and 1206.52 gate equivalents, respectively. QTL achieves high security and compact implementation in hardware. QTL is one of the most competitive ultra-lightweight block ciphers, which is suitable for extremely constrained devices. (C) 2016 Elsevier B.V. All rights reserved.
