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18th Australasian Conference on information security and Privacy, ACISP 2013

作者： Bai, Dongxia Yu, Hongbo Wang, Gaoli Wang, Xiaoyun Department of Computer Science and Technology Tsinghua University Beijing 100084 China School of Computer Science and Technology Donghua University Shanghai 201620 China Institute for Advanced Study Tsinghua University Beijing 100084 China Key Laboratory of Cryptologic Technology and Information Security Ministry of Education Shandong University Jinan 250100 China School of Mathematics Shandong University Jinan 250100 China

ISBN: (纸本)9783642390586

The cryptographic hash function SM3 is designed by X. Wang et al. and published by Chinese Commercial Cryptography Administration Office for the use of electronic certification service system in China. It is based on the Merkle-Damgård design and is very similar to SHA-2 but includes some additional strengthening features. In this paper, we apply the boomerang attack to SM3 compression function, and present such distinguishers on up to 34/35/36/37 steps out of 64 steps, with time complexities 231.4, 233.6, 273.4 and 293 compression function calls respectively. Especially, we are able to obtain the examples of the distinguishers on 34-step and 35-step on a PC due to their practical complexities. In addition, incompatible problems in the recent boomerang attack are pointed out. © 2013 Springer-Verlag.

关键词： Hash functions

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Evolutionary innovations of formalization and digitalization

Evolutionary innovations of formalization and digitalization

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International Symposium on Extenics and Innovation Methods

作者： Chen, W.W. Huang, J.C. Zhao, X. Third Department of Navy Command College of Arms Guangzhou China Information System Engineering Key Laboratory National University of Defense Technology Changsha China School of Science National University of Defense Technology Changsha China

ISBN: (纸本)9781138000490

This paper analyzes how to make use of formalization methods and get rapid development in the process of evolution of mathematics and natural science, and how to use digital methods to make rapid development in the evolution of computer science. Formalization and digitalization are the most important innovations of the science evolution. Finally, this paper illustrates the application of formalization and digitalization through neural network and genetic algorithm. © 2013 Taylor & Francis Group.

关键词： Genetic algorithms

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Fuzzy clustering with multi-resolution bilateral filtering for medical image segmentation

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International Journal of Fuzzy system Applications 2013年第4期3卷 47-59页

作者： Xiao, Kai Li, Jianli Xiao, Shuangjiu Guan, Haibing Fang, Fang Hassanien, Aboul Ella School of Software Shanghai Jiaotong University Shanghai China Shanghai Key Laboratory of Scalable Computing and Systems Department of Computer Science Shanghai Jiaotong University Shanghai China Shanghai First People's Hospital Shanghai China Department of Information Technology Cairo University Giza Cairo Egypt

Although fuzzy c-means (FCM) algorithm and some of its variants have been extensively widely used in unsupervised medical image segmentation applications in recent years, they more or less suffer from either noise sensitivity or loss of details, which always is a key point to medical image processing. This paper presents a novel FCM variation method that is suitable for medical image segmentation. The proposed method, typically by incorporating multi-resolution bilateral filter which is combined with wavelet thresholding, provides the following advantages: (1) it is less sensitive to both high- and low-frequency noise and removes spurious blobs and noisy spots, (2) it yields more homogeneous clustering regions, and (3) it preserves detail, thus significantly improving clustering performance. By the use of synthetic and multiple-feature magnetic resonance (MR) image data, the experimental results and quantitative analyses suggest that, compared to other fuzzy clustering algorithms, the proposed method further enhances the robustness to noisy images and capacity of detail preservation. Copyright © 2013, IGI Global.

关键词： Fuzzy clustering

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Improved impossible differential attacks on large-block Rijndael

Improved impossible differential attacks on large-block Rijn...

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15th International Conference on information security and Cryptology, ICISC 2012

作者： Wang, Qingju Gu, Dawu Rijmen, Vincent Liu, Ya Chen, Jiazhe Bogdanov, Andrey Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai 200240 China KU Leuven ESAT/COSIC iMinds Belgium Key Laboratory of Cryptologic Technology and Information Security School of Mathematics Shandong University Jinan 250100 China Technical University of Denmark Department of Mathematics Denmark

ISBN: (纸本)9783642376818

In this paper, we present more powerful 6-round impossible differentials for large-block Rijndael-224 and Rijndael-256 than the ones used by Zhang et al. in ISC 2008. Using those, we can improve the previous impossible differential cryptanalysis of both 9-round Rijndael-224 and Rijndael-256. The improvement can lead to 10-round attack on Rijndael-256 as well. With 2198.1 chosen plaintexts, an attack is demonstrated on 9-round Rijndael-224 with 2 195.2 encryptions and 2140.4 bytes memory. Increasing the data complexity to 2216 plaintexts, the time complexity can be reduced to 2130 encryptions and the memory requirements to 2 93.6 bytes. For 9-round Rijndael-256, we provide an attack requiring 2229.3 chosen plaintexts, 2194 encryptions, and 2 139.6 bytes memory. Alternatively, with 2245.3 plaintexts, an attack with a reduced time of 2127.1 encryptions and a memory complexity of 290.9 bytes can be mounted. With 2244.2 chosen plaintexts, we can attack 10-round Rijndael-256 with 2253.9 encryptions and 2186.8 bytes of memory. © 2013 Springer-Verlag.

关键词： Cryptography

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Distinguishing computer graphics from photographic images using local binary patterns

Distinguishing computer graphics from photographic images us...

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11th International Workshop on Digital Forensics and Watermaking, IWDW 2012

作者： Li, Zhaohong Ye, Jingyu Shi, Yun Qing Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ 07102 United States School of Electronic and Information Engineering Beijing Jiaotong University Beijing 100044 China Shanghai Key Laboratory of Integrate Administration Technologies for Information Security Shanghai 200240 China

ISBN: (纸本)9783642400988

With the ongoing development of rendering technology, computer graphics (CG) are sometimes so photorealistic that to distinguish them from photographic images (PG) by human eyes has become difficult. To this end, many methods have been developed for automatic CG and PG classification. In this paper, we explore the statistical difference of uniform gray-scale invariant local binary patterns (LBP) to distinguish CG from PG with the help of support vector machines (SVM). We select YCbCr as the color model. The original JPEG coefficients of Y and Cr components, and their prediction errors are used for LBP calculation. From each 2-D array, we obtain 59 LBP features. In total, four groups of 59 features are obtained from each image. The proposed features have been tested with thousands of CG and PG. Classification accuracy reaches 98.3% with SVM and outperforms the state-of-the-art works. © 2013 Springer-Verlag.

关键词： Local binary pattern

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ENERGY EFFICIENT DISTRIBUTED STEGANOGRAPHY FOR SECURE COMMUNICATION IN WIRELESS MULTIMEDIA SENSOR NETWORKS

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Journal of Electronics(China) 2013年第1期30卷 9-16页

作者： Lin Qiaomin Wang Ruchuan Ye Ning Wang Zhongqin College of Computer Nanjing University of Posts and Telecommunications Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Key Lab of Broadband Wireless Communication and Sensor Network Technology (Nanjing University of Posts and Telecommunications) Ministry of Education Department of Information Science Nanjing College for Population Management

A secure communication mechanism is necessary in the applications of Wireless Multimedia Sensor Networks (WMSNs), which is more vulnerable to security attacks due to the presence of multimedia data. Additionally, given the limited technological resources (in term of energy, computation, bandwidth, and storage) of sensor nodes, security and privacy policies have to be combined with energy-aware algorithms and distributed processing of multimedia contents in WMSNs. To solve these problems in this paper, an energy efficient distributed steganography scheme, which combines steganography technique with the concept of distributed computing, is proposed for secure communication in WMSNs. The simulation results show that the proposed method can achieve considerable energy efficiency while assuring the communication security simultaneously.

关键词： Discrete Wavelet Transform （DWT） Distributed steganography Energy efficiency Perfect hash Wireless Multimedia Sensor Networks （WMSNs）

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Direct construction of signcryption tag-KEM from standard assumptions in the standard model

Direct construction of signcryption tag-KEM from standard as...

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15th International Conference on information and Communications security, ICICS 2013

作者： Li, Xiangxue Qian, Haifeng Yu, Yu Weng, Jian Zhou, Yuan Department of Computer Science and Technology East China Normal University China National Engineering Laboratory for Wireless Security Xi'an University of Posts and Telecommunications China Institute for Interdisciplinary Information Sciences Tsinghua University China Department of Computer Science Jinan University China Network Emergency Response Technical Team/Coordination Center China

ISBN: (纸本)9783319027258

The paper presents a direct construction of signcryption tag- KEM under the standard DBDH and CDH assumptions in the standard model, without using strongly unforgeable signature schemes as building blocks. We prove its confidentiality and unforgeability with respect to adversarially-chosen keys where the adversary is given more advantageous attack environment than existing models in the literature. The performance of our construction is comparable to existing signcryption tag-KEM schemes. © Springer International Publishing 2013.

关键词： Public key cryptography

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Fine-grained access control system based on outsourced attribute-based encryption 1

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18th European Symposium on Research in computer security, ESORICS 2013

作者： Li, Jin Chen, Xiaofeng Li, Jingwei Jia, Chunfu Ma, Jianfeng Lou, Wenjing School of Computer Science and Educational Software Guangzhou University China State Key Laboratory of Integrated Service Networks Xidian University China College of Information Technical Science Nankai University China School of Computer Science and Technology Xidian University China Department of Computer Science Virginia Polytechnic Institute and State University United States

ISBN: (数字)9783642402036

ISBN: (纸本)9783642402029

As cloud computing becomes prevalent, more and more sensitive data is being centralized into the cloud for sharing, which brings forth new challenges for outsourced data security and privacy. Attribute-based encryption (ABE) is a promising cryptographic primitive, which has been widely applied to design fine-grained access control system recently. However, ABE is being criticized for its high scheme overhead as the computational cost grows with the complexity of the access formula. This disadvantage becomes more serious for mobile devices because they have constrained computing resources. Aiming at tackling the challenge above, we present a generic and efficient solution to implement attribute-based access control system by introducing secure outsourcing techniques into ABE. More precisely, two cloud service providers (CSPs), namely key generation-cloud service provider (KG-CSP) and decryption-cloud service provider (D-CSP) are introduced to perform the outsourced key-issuing and decryption on behalf of attribute authority and users respectively. In order to outsource heavy computation to both CSPs without private information leakage, we formulize an underlying primitive called outsourced ABE (OABE) and propose several constructions with outsourced decryption and key-issuing. Finally, extensive experiment demonstrates that with the help of KG-CSP and D-CSP, efficient key-issuing and decryption are achieved in our constructions. © 2013 Springer-Verlag.

关键词： Sensitive data

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Decoding with large-scale neural language models improves translation

Decoding with large-scale neural language models improves tr...

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2013 Conference on Empirical Methods in Natural Language Processing, EMNLP 2013

作者： Vaswani, Ashish Zhao, Yinggong Fossum, Victoria Chiang, David University of Southern California Department of Computer Science United States Nanjing University State Key Laboratory for Novel Software Technology China University of Southern California Information Sciences Institute United States

ISBN: (纸本)9781937284978

We explore the application of neural language models to machine translation. We develop a new model that combines the neural probabilistic language model of Bengio et al., rectified linear units, and noise-contrastive estimation, and we incorporate it into a machine translation system both by reranking k-best lists and by direct integration into the decoder. Our large-scale, large-vocabulary experiments across four language pairs show that our neural language model improves translation quality by up to 1.1 Bleu. © 2013 Association for Computational Linguistics.

关键词： Decoding

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A Role Based Privacy-Aware Secure Routing Protocol for Wireless Mesh Networks

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Wireless Personal Communications 2013年第3期75卷 1611-1633页

作者： Hui Lin Jia Hu Jianfeng Ma Li Xu Atulya Nagar Shaanxi Key Laboratory of Network and System Security Xidian University Xi’an China Key Lab of Network Security and Cryptology Fujian Normal University Fuzhou China Department of Mathematics and Computer Science Liverpool Hope University Liverpool UK

Wireless Mesh Networks (WMNs) have drawn much attention for emerging as a promising technology to meet the challenges in next generation networks. security and privacy protection have been the primary concerns in pushing towards the success of WMNs. There have been a multitude of solutions proposed to ensure the security of the routing protocol and the privacy information in WMNs. However, most of them are based on the assumptions that all nodes cooperate with routing and forwarding packets and the attacks are from outside. In order to defend against the internal attacks and to achieve better security and privacy protection, this paper proposes a role based privacy-aware secure routing protocol (RPASRP), which combines a new dynamic reputation mechanism with the role based multi-level security technology and a hierarchical key management protocol. Simulation results show that RPASRP implements the security and privacy protection against the inside attacks more effectively and efficiently and performs better than the classical hybrid wireless mesh protocol in terms of packet delivery ratio and average route length.

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