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2014 International Conference on Artificial,Intelligence and Software Engineering(AISE 2014)

作者： Jian ZHANG Ke YAN Zhen-yu HE Yong XU Bio-computing Research Center Shenzhen Graduate School Harbin Institute of Technology Key Laboratory of Network Oriented Intelligent Computation

The face recognition biometric technology, as one of the main applications, has been researched and improved by more and more people. In recent years, linear sparse representation being advantageous in improving the classification becomes a research hotspot, and it has similar advantage by increasing the inter-class scatter and decreasing the intra-class scatter of training samples. In this paper, we fuse the characteristics of linear sparse representation and discrimination of class scatter and present a new constraint model, which requires not only minimum recovered residual and projection matrix's energy, but also requires maximum inter-class scatter and minimum intra-class scatter after projection. Then we use the projection matrix solved by constraint equation to recover the test sample by each class, the final classified result is the class which has minimum recovered residual. We test three different face databases and the experimental results show that we proposed method has better classification results.

关键词： Face recognition Inter-class scatter Intra-class scatter Sparse representation

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Image Compression Algorithm Based On Automatic Extracted ROI

Image Compression Algorithm Based On Automatic Extracted ROI

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The 2014 10th International Conference on Natural Computation (ICNC 2014) and the 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2014)(第十届自然计算和第十一届模糊系统与知识发现国际会议)

作者： Peilong Zhao Jiwen Dong Lei Wang Department of Computer Science and Technology Shandong Provincial Key Laboratory of Network based Intelligent Computing University of Jinan Jinan China

ISBN: (纸本)9781479951499

An region of interesting compression algorithm of still image is *** algorithm that is based on embedded block coding with optimized truncation(EBCOT)encodes the interested region of the *** to the character of image edge,an improved canny edge detection algorithm is proposed before the wavelet transform,without the participation of automatic extraction of artificial region-of-interest(ROI)by using the dilation and erosion operation in *** ROI coding algorithms is *** information can be encoded with high priority at the same time by constructing a weighted function,giving reasonable weight for ROI code block,and reducing the wavelet coefficients effect on the context region of the ROI code *** proposed method improves the quality of the reconstructed image of *** show that the reconstructed ROI image quality is significantly improved under low bit rate or high,and the reconstructed image background region(BG)quality can be also improved.

关键词： Region of interest Background region Canny edge detection Wavelets transform EBCOT

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Social evolutionary games

Social evolutionary games

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International Conference on Game Theory for networks, GameNets

作者： Jianye Yu Yuanzhuo Wang Xiao!ong Jin Xueqi Cheng CAS Key Laboratory of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences University of Chinese Academy of Sciences Beijing China

In this paper, we introduce a framework of social evolutionary games (SEG) for investigating the evolution of social networks. In a SEG, a coevolutionary mechanism is adopted by agents who aim to improve his short-term utility and long-term reputation. Two examples are presented to demonstrate SEG, prisoner's dilemma game for pairwise interaction and public goods game for group interaction. Numerical simulations are performed on the two examples with different parameter settings, and the results indicates that SEG can be used as a metaphor for investigating the evolution of social networks in some scenarios.

关键词： Microscopy

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Attribute-based encryption based access control scheme with constant-size ciphertext in cloud computing

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Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and technology Edition) 2014年第3期44卷 788-794页

作者： Li, Qi Ma, Jian-Feng Xiong, Jin-Bo Zhang, Tao Liu, Xi-Meng School of Computer Science and Technology Xidian University Xi'an 710071 China Shaanxi Key Laboratory of Network and System Security Xidian University Xi'an 710071 China School of Telecommunications Engineering Xidian University Xi'an 710071 China

Based on Attribute-Based Encryption (ABE), a variety of access control schemes have been constructed in cloud computing. However, in these schemes, the ciphertext overhead goes linearly with the number of attributes used in encryption. To address this concern, a CCP-ABE (Constant-size Ciphertext Policy ABE) based access control scheme is proposed. The original data is encrypted by a symmetric key;then symmetric key is encrypted under an AND-gate access policy. Only the user who possesses a set of attributes that satisfy the policy can recover the symmetric key. The security of the proposed scheme is proved based on security of the CPA (Chosen Plaintext Attack) secure CCP-ABE scheme. Moreover, a method of constructing CCA (Chosen Ciphertext attack) secure CCP-ABE schemes is introduced. Performance analysis indicates that the ciphertext overhead over the number of attributes included in ciphertext is constant-size rather than linearity.

关键词： Access control

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Forgeability of Wang-Zhu-Feng-Yau’s Attribute-Based Signature with Policy-and-Endorsement Mechanism

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Journal of Computer Science & technology 2013年第4期28卷 743-748页

作者：葛爱军黄欣沂陈成马传贵张锐 State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Information Science and Technology Institute State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences Fujian Provincial Key Laboratory of Network Security and Cryptology School of Mathematics and Computer ScienceFujian Normal University Institute of Software Chinese Academy of Sciences

Recently, Wang et al. presented a new construction of attribute-based signature with policy-and-endorsement mechanism. The existential unforgeability of their scheme was claimed to be based on the strong Diffie-Hellman assumption in the random oracle model. Unfortunately, by carefully revisiting the design and security proof of Wang et alfs scheme, we show that their scheme cannot provide unforgeability, namely, a forger, whose attributes do not satisfy a given signing predicate, can also generate valid signatures. We also point out the flaws in Wang et al.＇s proof.

关键词： attribute-based signature existential unforgeability policy-and-endorsement

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A User-Based Document Management Mechanism in Cloud

A User-Based Document Management Mechanism in Cloud

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International Conference on Computational Intelligence and security

作者： Guozhen Shi Mang Su Fenghua Li Jiapeng Lou Qiong Huang Department of Information Security Beijing Electronic Science and Technology Institute Beijing China State Key Laboratory of Integrated Services Network Xidian University Xi'an Shaanxi China State Key Laboratory of Information Security Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781479974351

The document plays an important role in the development of cloud computing. The user obtains and shares information by the electronic document. It is rich in content and various in representations. But the challenge to security is also brought. For the secure requirement for document in cloud, firstly, we will propose a novel user-based document secure management mechanism which introduces the re-encryption. The re-encrypted key will be generated according the access control conditions, so that the encryption of document creation will be combined with access control. Secondly, we will present the corresponding protocols and the implementation of the mechanism. Finally, the analysis of properties will be made.

关键词： Encryption Cloud computing Access control Servers Protocols

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Output Feature Augmented Lasso

Output Feature Augmented Lasso

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IEEE International Conference on Data Mining (ICDM)

作者： Changqing Zhang Yahong Han Xiaojie Guo Xiaochun Cao School of Computer Science and Technology Tianjin University Tianjin Tianjin Key Laboratory of Cognitive Computing and Application Tianjin University Tianjin State Key Laboratory of Information Security Chinese Academy of Sciences Beijing

ISBN: (纸本)9781479943012

Lasso simultaneously conducts variable selection and supervised regression. In this paper, we extend Lasso to multiple output prediction, which belongs to the categories of structured learning. Though structured learning makes use of both input and output simultaneously, the joint feature mapping in current framework of structured learning is usually application-specific. As a result, ad hoc heuristics have to be employed to design different joint feature mapping functions for different applications, which results in the lackness of generalization ability for multiple output prediction. To address this limitation, in this paper, we propose to augment Lasso with output by decoupling the joint feature mapping function of traditional structured learning. The contribution of this paper is three-fold: 1) The augmented Lasso conducts regression and variable selection on both the input and output features, and thus the learned model could fit an output with both the selected input variables and the other correlated outputs. 2) To be more general, we set up nonlinear dependencies among output variables by generalized Lasso. 3) Moreover, the Augmented Lagrangian Method (ALM) with Alternating Direction Minimizing (ADM) strategy is used to find the optimal model parameters. The extensive experimental results demonstrate the effectiveness of the proposed method.

关键词： Correlation Kernel Training Joints Vectors Linear programming Input variables

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Adaptively secure key-policy ABE scheme with fast decryption

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Tongxin Xuebao/Journal on Communications 2014年 35卷 26-32页

作者： Li, Qi Ma, Jian-Feng Xiong, Jin-Bo Liu, Xi-Meng School of Computer Science and Technology Xidian University Xi'an710071 China Shaanxi Key Laboratory of Network and System Security Xidian University Xi'an710071 China Science and Technology on Communication Information Security Control Laboratory Jiaxing314033 China Faculty of Software Fujian Normal University Fuzhou350108 China School of Telecommunication Engineering Xidian University Xi'an710071 China

In the existing adaptively secure ABE (attribute-based encryption) schemes, the decryption cost goes linearly with the number of attributes that are used in decryption. An adaptively secure key-policy ABE (FKP-ABE) scheme with fast decryption is proposed, where constant size of computation overhead is implemented in decryption. This scheme is constructed on composite order bilinear groups and supports any monotonic access structure that can be expressed by LSSS (linear secret sharing schemes). The proposed scheme is proved to be adaptively secure in the standard model. ©, 2014, Editorial Board of Journal on Communications. All right reserved.

关键词： Cryptography

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The cross-layer design of wireless mesh networks based on multimedia services

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Journal of Computational Information Systems 2013年第11期9卷 4495-4504页

作者： Sun, Qindong Zhang, Benliang Yang, Min Wang, Qian Key Lab. for Network Computing and Security of Shaanxi Province Xi'an University of Technology Xi'an 710048 China

In this paper, we have introduced a cross-layer design model which is based on multimedia services in order to favor the QoS demand in wireless mesh networks. By means of this model the relevant parameters in each layer of the whole network protocol stacks have been considered. Parameters Link consumption and packet error rate in the wireless transmission have been optimal controlled to enhance the throughput of wireless and optimize the overall performance of wireless mesh network. The experimental results show that compared with the general model, the average throughput of the multimedia transmission has increased more than 35% based on the cross-layer model proposed in this paper. Consequently the overall performance of the network has been optimized. © 2013 by Binary Information Press.

关键词： MESH networking

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A Robust Collaborative Threshold Authenticated Encryption Scheme Based on Message Blocking

A Robust Collaborative Threshold Authenticated Encryption Sc...

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International Conference on Cyber-Enabled Distributed computing and Knowledge Discovery, CyberC

作者： Zhen Chen Wenfang Zhang Xiaomin Wang Key Laboratory of Information Security and National Computing Grid Southwest Jiaotong University Chengdu China School of Information Science and Technology Southwest Jiaotong University

In recent years, some collaborative threshold authenticated encryption schemes were put forward to ease the workloads of the individual signers. Unfortunately, the original scheme was found to have design flaws in its signature generation phase, however the improvements of the original one are all proved to be inefficient. In order to remedy the security flaws and improve the performance, a novel robust collaborative threshold authenticated encryption scheme is proposed in this paper. Based on the elliptic curve cryptography and the message linkage technology, this scheme can realize efficient encryption and authentication of large messages. Analysis shows that the proposed scheme is theoretically correct and has better performance. The scheme can be further applied into distributed environments, such as cloud storage and computing networks, dynamic alliance of enterprises and virtual organizations.

关键词： Encryption Proposals Collaboration Elliptic curve cryptography Robustness Couplings

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