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FPGA based unified architecture for public key and private key cryptosystems

Frontiers of Computer Science 2013年第3期7卷 307-316页

作者： Yi WANG Renfa LI Embedded Systems and Networking Laboratory Hunan Province Key Laboratory of Network and Information Security Hunan University Changsha 410082 China Department of Electrical and Computer Engineering National University of Singapore Singapore 117576 Singapore

Recently, security in embedded system arises attentions because of modern electronic devices need cau- tiously either exchange or communicate with the sensitive data. Although security is classical research topic in world- wide communication, the researchers still face the problems of how to deal with these resource constraint devices and en- hance the features of assurance and certification. Therefore, some computations of cryptographic algorithms are built on hardware platforms, such as field program gate arrays （FPGAs）. The commonly used cryptographic algorithms for digital signature algorithm （DSA） are rivest-shamir-adleman （RSA） and elliptic curve cryptosystems （ECC） which based on the presumed difficulty of factoring large integers and the algebraic structure of elliptic curves over finite fields. Usu- ally, RSA is computed over GF（p）, and ECC is computed over GF（p） or GF（2P）. Moreover, embedded applications need advance encryption standard （AES） algorithms to pro- cess encryption and decryption procedures. In order to reuse the hardware resources and meet the trade-off between area and performance, we proposed a new triple functional arith- metic unit for computing high radix RSA and ECC operations over GF（p） and GF（2P）, which also can be extended to support AES operations. A new high radix signed digital （SD） adder has been proposed to eliminate the carry propagations over GF（p）. The proposed unified design took up 28.7% less hardware resources than implementing RSA, ECC, and AES individually, and the experimental results show that our proposed architecture can achieve 141.8 MHz using approxi- mately 5.5k CLBs on Virtex-5 FPGA.

关键词： AES RSA ECC signed-digit number FPGA cryptographic algorithms high radix arithmetic unit

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An improved differential fault analysis attack to AES using reduced searching space

An improved differential fault analysis attack to AES using ...

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5th International Symposium on Cyberspace Safety and Security, CSS 2013

作者： Cai, Zemin Wang, Yi Li, Renfa Embedded Systems and Networking Laboratory Hunan University China Hunan Provincial Key Laboratory of Network and Information Security Hunan University Changsha China

ISBN: (纸本)9783319035833

Differential Power Analysis against AES proved to be effective, with use mask techniques, we can truncate the relevance and defense DPA attacks successfully. In this paper, we introduce a new mean called DFA (Differential Fault Attack), DFA has been shown successfully to attack AES algorithm with masking. We inject a fault to the intermediate results and other general form to obtain the ciphertext with faults, using the ciphertext we can recover the keys. Firstly, we construct the Sbox/InvSbox distribution tables to make the results sets space is less than 28 with two correct/fault ciphertexts pairs, even, in most cases, the set space are strict in 22. Secondly, we also demonstrated that the model of DFA we constructed can ignore the masking techniques and propose some methods to recover the keys with less time consuming and reduced searching space. Lastly, we make the module into an application and prove the module is effective. © Springer International Publishing Switzerland 2013.

关键词： Side channel attack

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A Power Model Combined of Architectural Level and Gate Level for Multicore Processors

A Power Model Combined of Architectural Level and Gate Level...

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IEEE International Conference on Trust, Security and Privacy in computing and Communications (TrustCom)

作者： Manman Peng Yan Hu Key Laboratory for Embedded and Network Computing of Hunan Province Hunan University Changsha China

ISBN: (纸本)9781479914449

Low power consumption is becoming a critical factor for multicore processors. As the multicore processor design complexity increases, power estimation for multicore processors has gained more importance. This paper presents a new power model combined of architectural level and gate level for multicore processors. The model maps the multicore processors to a combination of building blocks, and estimates the gate-level power of these blocks using parameterized RTL. Then, the power numbers are made in the form of look-up tables, and integrated in architecture simulators. The experiments show that for peak power estimation, an excellent accuracy has been reached and simulation performance is greatly improved compared to the gate level.

关键词： Program processors Computational modeling Multicore processing Logic gates Random access memory Hardware Analytical models

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Discriminative hough-voting for object detection with parts

Discriminative hough-voting for object detection with parts

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International Conference on Mechatronic Science, Electric Engineering and Computer

作者： Yaodong Chen Renfa Li Key Laboratory for Embedded and Network Computing of Hunan Province Changsha China

ISBN: (纸本)9781479925667

Many detection models rely on sliding-window methods to search all possible candidates and then localize true instances by linear classifiers. Such exhaustive search involves massive computation. Hough voting scheme provides an alternative way to localize objects. Typical voting-based approaches, casting independent votes for a hypothesis, ignore the mutual relevance of features. The weights of the features for voting are learnt in a simple way. These two weaknesses limit the detection performance of the voting scheme. This paper introduces a novel voting-based model. We group the model features into parts. The features in one part are dependent and can cast consistent votes for a given hypothesis. For a given hypothesis we introduce an overall score function whose parameters can be optimized in a discriminative way. We apply a latent learning framework to deal with part-level weak supervision. The experiments evaluate the proposed model on two standard datasets. We demonstrate significant improvements in detection performance comparing the start-of-the-art detection models.

关键词： Object detection Computational modeling Shape Feature extraction Training Search problems Transforms

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Neighbor Diversification-Based Collaborative Filtering for Improving Recommendation Lists

Neighbor Diversification-Based Collaborative Filtering for I...

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International Workshop on Intelligent Communication and Social networks

作者： Chao Yang Cong Cong Ai Renfa Li Key Laboratory for Embedded and Network Computing of Hunan University

ISBN: (纸本)9781479909735

Recommendation systems are popular information filtering tools that help people find what they want. Accuracy is the most widely used metric for evaluating recommendation systems. Recently, many research works have focused on new measurements beyond the accuracy of recommendation systems. In this paper, we propose a neighbor diversification collaborative filtering algorithm to improve the recommendation lists. By using Movielens dataset for empirical analysis, we investigated the influence of neighbor diversity to the recommendation accuracy, diversity, novelty and coverage. Intensive experimental results proved the efficiency of our proposed algorithm for improving recommendation lists.

关键词： Recommendation System Neighbor Diversification Diversity Novelty Coverage

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An intrusion detection system for cluster based wireless sensor networks

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Information Technology Journal 2013年第9期12卷 1764-1771页

作者： Deng, Xue Wu, Renyong Wang, Wenru Bu, Renfei Key Laboratory for Embedded and Network Computing of Hunan Province Changsha Hunan 410082 China School of Information Science and Engineering Hunan University Changsha 410082 China

With the rapid development of wireless communication technology, wireless sensor networks (WSNs) have been widely used in many fields. Therefore, the security become an important issue in WSNs. Compared with the wired network, wireless sensor networks have its own features. The one is limited resource, such as energy, computing power and communication capability. The other is attack types. There are some additional attacks appear on sensor node, such as node capture and tampering. As a result, the security mechanisms which work well in wired network can not be applied in wireless senor network directly. In this paper, in order to improve the security level of WSNs, we proposed a new intrusion detection system (IDS) to find malicious node in WSNs. According to the deviation from the normal pattern of node's behavior, basic input vector of evidence is constructed. Furthermore, the weight value is applied to represent the importance of each behavior characteristic and revise the evidence before evidence synthesis. Finally, by utilizing evidence theory and judgment rules, the running state of the evaluated node is obtained. Extensive simulation results show that the proposed IDS is more effective in detecting malicious nodes than existing schemes. © 2031 Asian network for Scientific Information.

关键词： Computer crime

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A K-NN and Sparse Representation Based Method for Gesture Recognition

A K-NN and Sparse Representation Based Method for Gesture Re...

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IEEE International Conference on High Performance computing and Communications (HPCC)

作者： Meifang Zeng Ling Xiao Renfa Li Key Laboratory of Embedded and Network Hunan University Changsha China

ISBN: (纸本)9781479909735

Sparse representation classification is widely used in pattern recognition. In this paper, a k-nn and sparse represent based method for gesture recognition (KSRC) is proposed. In order to reduce the computational complexity problem in sparse representation, KSRC exploits K nearest neighbors of the testing sample from all training samples and represents the test sample as a linear combination of the K nearest neighbors, then solving the l1-norm constrained least square problem. Taking linear interpolation method to force all data to be in the same space. Experiments show almost perfect user-independent recognition, and user-mixed recognition and user-dependent recognition, and speeds up 4 times than SRC.

关键词： Training Gesture recognition Computational complexity Dictionaries Acceleration Vectors Accelerometers

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RELIABILITY-DRIVEN REAL-TIME TASK REPLICATION FOR FAULT TOLERANCE IN HIERARCHICAL SCHEDULING MULTIPROCESSOR SYSTEMS

RELIABILITY-DRIVEN REAL-TIME TASK REPLICATION FOR FAULT TOLE...

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2013IET International Conference on Information and Communication Technologies(IETICT2013)2013IET信息与通信技术国际会议

作者： Lin Liu Renfa Li Rui Li Yong Xie Qingguang Zeng Key Laboratory for Embedded and Network Computing of Hunan Province Hunan UniversityChangshaChina

ISBN: (纸本)9781629931357

The increasing complexity of systems poses a big challenge to design systems with fault-tolerant *** aim of this study was to establish fault-tolerant system for multiprocessor platform with the help of hierarchical scheduling framework.A mathematical fault and reliability model for hierarchical scheduling framework was proposed firstly,and then a heuristic algorithm by exploiting the difference of task resource overhead and the probability of task failures was presented and a task replication scheme was given *** experimental results demonstrated the proposed scheme could effectively guarantee reliability goal and reduce resource consumption simultaneously.

关键词： multiprocessor fault tolerance task replication reliability requirements the hierarchical scheduling

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NTE Treatment Results in Increased Fpn Expression in Hippocampus of Rats Subjected to Cerebral Ischemia

NTE Treatment Results in Increased Fpn Expression in Hippoca...

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第九次全国中西医结合基础理论研究学术研讨会

作者： Jun Liao Xing Xia Guo-zuo Wang Yong-mei Shi Jin-wen Ge Department of Anatomy Hunan University of Chinese Medicine Campus Network Center Hunan University of Chinese Medicine College of Integrated Medicine Hunan University of Chinese Medicine Hunan Province Key Laboratory of Integrated Medicine for Cardi-Cerebrovascular Disease Hunan University of Chinese Medicine

Objective:To observe the expression of Ferroportin（Fpn） at different time points in rats after focal cerebral ischemia treated with or without Chinese medicine NTE（extract of HuangQi,Chuan Xiong,Di Long,Jiang Can） Methods:The experiment is carried out by two steps:Firstly,SD rats were randomly divided into 2 h,6h,12 h,24 h,72 h groups after operation of Middle cerebral artery occlusion（MCAO）,mRNA and protein level of Fpn were detected by immunohistochemistry and RT-PCR at above time points;Secondly,the rats were randomly allotted five groups as following: sham operation group,model group,low dose group of NTE（3 g/kg）,medial dose group of NTE （9/kg）,large dose group of NTE（27 g/kg）.After three days of corresponding therapy by intragastric administration once a day,the regional cerebral ischemia model was reproduced by middle cerebral artery occlusion（MCAO）with suture *** days later,the rats treated by previous *** third day,Neurological behavior of rats were detected by neurobehavioral *** in Hippocampal C region was measured by immunohistochemical method and mRNA of Fpn was detected by RT-PCR. Results:Expression of Fpn in hippocamp C reaches the highest point at 12 h after operation（P<0.05）;compared with model group,the large dose group of NTE（27 g/kg） displays a lower Neurological behavior score（P<0.05）;and large dose group of NTE showes higher lever expression of Fpn both at mRNA and protein level compared with sham operation group and model group（P<0.05）. Conclusion:Disregulation of intracellular iron balance perhaps is the new mechanism of cerebral ischemia injury,the NTE can protect the neuron in Hippocampal C area by adjusting the expression of Fpn to balance the iron after cerebral ischemia.

关键词： Ferroportin(Fpn) Naotaifang extract(NTE) cerebral ischemia

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Distributed data integration in content-centric networks

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Journal of networks 2013年第9期8卷 1950-1959页

作者： Liao, Zhuhua Yi, Aiping Zhang, Guoqing Key Laboratory of Knowledge Processing and Networked Manufacturing College of Hunan Province 411201 China School of Foreign Language Hunan University of Science and Technology 411201 China Institute of Computing Technology of Chinese Academy of Sciences Beijing 100190 China

The integration of fragmented data seriously impedes the distributed data exploitation in content-centric networks. It requires dealing with the dynamics, semantics and efficiency problems in the data integration. In this paper, a novel scheme is proposed to integrate the fragmented named data into semantic data sequences which can quickly response to users in the content-centric network. In order to perform semantic and efficient integration of fragmented data in the network, diverse integration strategies of fragmented data driven by query are presented at first. And then the data integration algorithms building on the contentcentric network are introduced based on semantic guider nodes. Finally, the experiments demonstrated that the proposed scheme can efficiently integrate the fragmented data distributed in the content-centric network and efficiently response to users. © 2013 ACADEMY PUBLISHER.

关键词： Data integration

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