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An Effective Differential Fault Analysis on the Serpent Cryptosystem in the Internet of Things

China Communications 2014年第6期11卷 129-139页

作者： LI Wei TAO Zhi GU Dawu SUN Li QU Bo LIU Zhiqiang LIU Ya School of Computer Science and Technology Donghua University Department of Computer Science and Engineering Shanghai Jiao Tong University State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences Shanghai Key Laboratory of Integrate Administration Technologies for Information Security Network Architectures and Services Delft University of Technology Mekelweg 4 2628 CD Delft The Netherlands ESAT/COSIC and IBBT Katholieke Universiteit Leuven Department of Computer Science and Engineering University of Shanghai for Science and Technology

Due to the strong attacking ability, fast speed, simple implementation and other characteristics, differential fault analysis has become an important method to evaluate the security of cryptosystem in the Internet of Things. As one of the AES finalists, the Serpent is a 128-bit Substitution-Permutation network(SPN) cryptosystem. It has 32 rounds with the variable key length between 0 and 256 bits, which is flexible to provide security in the Internet of Things. On the basis of the byte-oriented model and the differential analysis, we propose an effective differential fault attack on the Serpent cryptosystem. Mathematical analysis and simulating experiment show that the attack could recover its secret key by introducing 48 faulty ciphertexts. The result in this study describes that the Serpent is vulnerable to differential fault analysis in detail. It will be beneficial to the analysis of the same type of other iterated cryptosystems.

关键词： internet of things cryptanalysis differential fault analysis serpent.

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Bit rate buffer control and optimization of embedded video encoder

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Open Cybernetics and Systemics Journal 2014年第1期8卷 1009-1014页

作者： Chunlian, Yao Wen, Liu Hongli, Wu Dianhui, Mao Li, Liu School of computer and information engineering Beijing Technology and Business University Beijing China The Key Laboratory of Advanced Information Science and Network Technology of Beijing Beijing Jiaotong University Beijing China Institute of advanced information technology of Beijing Beijing China

To satisfy various requirement of embedded video encoder, an embedded video coding system based on TMS320C64xx DSP is designed in this paper. TMS320C64xx DSP (Digital signal processor) is the core of the coding hardware system, and FPGA (Field program gate array) as the co-processor of DSP, which can convert video data into the specified format. For real-time application, we optimize the encoder at three levels: Firstly, at algorithm level, develop some fast algorithm fitting for DSP;secondly, at system level, adjust the architecture of encoder and optimization data transfer with EDMA (Enhance Direct Memory Access);thirdly, at code level, we use linear assembly rewrite key code. In order to avoid overflow and under flow state of bit rate, software FIFO (First Input First Output) is designed, and by the status of FIFO, we can know the state of underflow and overflow of buffer. Experimental results show that the embedded video encoder can compress four channel CIF (352×288) video data real-time. © Chunlian et al.

关键词： Digital signal processors

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A rate control algorithm for low delay video coding

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Open Cybernetics and Systemics Journal 2014年 8卷 773-778页

作者： Chunlian, Yao Dong, Jiang Xinnan, Guan Hongli, Wu Qian, Cao School of Computer and Information Engineering Beijing Technology and Business University Beijing China The Key Laboratory of Advanced Information Science and Network Technology of Beijing Beijing Jiaotong University Beijing China Institute of Advanced Information Technology of Beijing Beijing China

For the standard definition video, the inherent delay produced by the existing coding standards is above 260ms. The delay is too big to apply in real-time video processing system. In order to reduce codec system delay, this paper gives a low delay coding structure. Firstly, the input video is divided into a number of slices for reducing the acquisition delay, and then the slice is coded as a basic unit. Secondly, In order to solve the problem of bit allocation with low delay coding process, this paper presents a constant bit rate control algorithm based on slices;frame and macro block line rate allocation strategy is given. The experimental results show that, compared with the frame/field codec system, new slice coding structure and rate control algorithm can keep the quality of the reconstructed image and effectively reduce the inherent codec system delay. The delay of the proposed algorithm is about 100ms and it can satisfy the real-time requirement. © Chunlian et al.;Licensee Bentham Open.

关键词： Image coding

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Angle historgam model of directional relationship in 3D based on Double-projection and Rounded-subdivision

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Journal of information and Computational Science 2014年第18期11卷 6471-6478页

作者： Kong, Dehan Liu, Yongshan Ma, Junlei Department of Information Science and Engineering Yanshan University Qinhuangdao China The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Yanshan University Qinhuangdao China Data Industry Research Lab Qinhuangdao China

The formal model of spatial directional relations is one of the most important parts in spatial relation research. The most of models are based on Minimum Bounding Rectangle (MBR), and they are not compliant with the regular pattern of human cognition. In order to get a closer conclusion to human cognition on directional relationship, Angle Histogram model based on Double-projection and Rounded-subdivision (AHDPRS) is proposed in this paper. The model uses the maximum inscribed circles to find out the maximum parts of the object, and calculates the directional relationship between the centers of the circles. This model ignores the inessential details to ensure the result which will be closer to human cognition. The experiments show that this model is feasible.

关键词： Graphic methods

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PEVTS: Privacy-Preserving Electric Vehicles Test-Bedding Scheme

PEVTS: Privacy-Preserving Electric Vehicles Test-Bedding Sch...

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International Conference on Parallel and Distributed Systems (ICPADS)

作者： Xu Yang Joseph K. Liu Wei Wu Man Ho Au Willy Susilo Fujian Provincial Key Laboratory of Network Security and Cryptology Fujian Normal University China and State Key Laboratory of Cryptology Beijing China Faculty of Information Technology Monash University Australia Department of Computing Hong Kong Polytechnic University Hong Kong School of Computer Science and Software Engineering University of Wollongong Australia

Electric Vehicle (EV) infrastructure is relatively new in many countries. Due to the recency of an EV infrastructure, it is important to carry out a series of testing programs. Furthermore, authenticity for collection of data is necessary for testing programs in order to provide accurate results. At the same time, user privacy should not cease since tracing one's daily logistic movements or behaviour from the EV testing programs means breaching one's privacy. In this paper, we propose a novel solution PEVTS for enabling both data authenticity and user privacy concurrently. Our proposed system provides great flexibility to the authority to choose any arbitrary set of authenticated users for testing in every time period. At the same time, it provides anonymity for all participating users. Yet it can trace any vehicle within a time period for statistical purpose. We give a detailed description of our system. We also implement the prototype of our system to show its practicality.

关键词： Testing Privacy Cryptography Electric vehicles Data privacy Authentication

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Point cloud coarse registration based on 3DSIFT keypoint detection

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Journal of Computational information Systems 2014年第23期10卷 10121-10128页

作者： Gu, Xiaoying Liu, Yongshan Department of Information Science and Engineering Yanshan University Qinhuangdao China The Key Laboratory for Computer Virtual Technology and System Integration of HeBei Province Yanshan University Qinhuangdao China Data Industry Research Lab Qinhuangdao China

Since the SIFT feature point extraction algorithm with scale changes, rotation transformation invariance, is widely used in image registration. In this paper, the SIFT algorithm is applied to three-dimensional point cloud coarse registration, the proposed 3DSIFT extraction algorithm is suitable for three-dimensional point cloud data, then point coordinates, curvature, the nearest neighbor distance mean and other information compose fourteen-dimensional vector to conduct correspondence match, use the interior point rate of Ransac to obtain optimal transformation, and finally transform the coordinates for source point clouds using the optimal transform, complete the point cloud data coarse registration. Experimental results show that our coarse registration algorithm can effectively extract feature points, and it is robust for the point cloud with noisy point, it can provide accurate and effective initial value for the precise registration such as ICP.

关键词： Metadata

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A new proxy re-encryption scheme for protecting critical information systems

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Journal of Ambient Intelligence and Humanized Computing 2015年第6期6卷 699-711页

作者： Wang, Xu An Ma, Jianfeng Yang, Xiaoyuan School of Telecommunications Engineering Xidian University Xi’an People’s Republic of China School of Computer Science and Technology Xidian University Xi’an People’s Republic of China Key Laboratory of Information and Network Security Engineering University of Chinese Armed Police Force Xi’an People’s Republic of China

The risks of critical systems involved in key-recovery, key-escrow have barely taken to be seriously treated by the researchers. And the failures of even the best cryptographic techniques are often caused by the inherent security weaknesses in our computer systems rather than breaking the cryptographic mechanism directly. Thus key-recovery and key-escrow attacks are among the most important issues in protecting critical information systems. Proxy re-encryption, introduced by Blaze et al. in 1998, allows a proxy to transform a ciphertext computed under Alice’s public key into one that can be opened under Bob’s decryption key, without the proxy knowing any secret key of Alice and Bob, thus it can be used in modern critical information system well to avoid the key-recovery and key-escrow attack. In CANS’08, Deng et al. proposed the first IND-CCA2 secure proxy re-encryption without bilinear parings in the random oracle model. They left an open problem of constructing IND-CCA2 secure proxy re-encryption scheme in the standard model yet without pairings. In this paper, based on Cramer–Shoup encryption scheme, we try to solve this open problem by presenting a new proxy re-encryption scheme, which is IND-CCA2 secure in the standard model in a relatively weak model and does not use bilinear parings. Our main idea is roughly using the Cramer–Shoup encryption twice, but also taking care of the security in the security model of proxy re-encryption. We compare our work with Canetti–Hohenberger scheme II, the results show our scheme is more efficient. We also show its application in protecting the security of critical information systems.

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Availability-Aware Virtual network Embedding for Multi-tier Applications in Cloud networks

Availability-Aware Virtual Network Embedding for Multi-tier ...

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

作者： Meng Shen Xu Ke Fuliang Li Fan Li Liehuang Zhu Lei Guan Ministry of Education Key Laboratory of Computer Network and Information Integration (Southeast University) P. R. China Beijing Engineering Research Center of High Volume Language Information Processing and Cloud Computing Applications School of Computer Science Beijing Institute of Technology P. R. China Tsinghua University Beijing Beijing CN College of Information Science and Engineering Northeastern University P. R. China DNSLAB China Internet Network Iniormation Center Beijing P. R. China School of Management & Economics Beijing Institute of Technology P. R. China

ISBN: (纸本)9781479989386

There is a growing trend for service providers (SPs) to migrate their multi-tier applications from local clusters to public cloud networks. In the cloud environment, it is a great concern of SPs to improve the availability of their virtual networks, in addition to guarantees of their virtual resource requirements, such as VMs and bandwidth. However, meeting these requirements results in an inefficient utilization of physical resources, which goes against the operational goal of cloud providers. To address this challenge, in this paper, we propose an availability-aware virtual network embedding framework that simultaneously improves the availability of virtual networks and the resource efficiency. We first propose a new metric to quantify the availability cost of a multi-tier virtual network, and then formulate the embedding problem as a joint optimization of the aggregated bandwidth and availability costs. Due to the NP-hardness of the embedding problem, we devise a heuristic algorithm that can solve the problem in polynomial time. Extensive simulation results show that the proposed algorithm enables CP to achieve various trade-offs between resource efficiency and availability, and to gain more revenue (e.g., 16.1% under a datacenter load of 80%) than the availability-agonistic algorithm.

关键词： Bandwidth Cloud computing Topology network topology Servers Optimization Algorithm design and analysis

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Risk Management Using Big Real Time Data

Risk Management Using Big Real Time Data

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IEEE International Conference on Cloud Computing Technology and Science (CloudCom)

作者： Jie Cheng Chunming Rong Huijuan Ye Xianghan Zheng Department of Electrical Engineering and Computer Science Risk Management Using Big Real Time Data Department of Computer Science and Electronic Engineering University of Stavanger Stavanger Norway College of Mathematics and Computer Science Fuzhou University Fuzhou China Fujian Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou China

Adding to societal changes today, are the miscellaneous big data produced in different fields. Coupled with these data is the appearance of risk management. Admittedly, to predict future trend by using these data is conducive to make everything more efficient and easy. Now, no matter companies or individuals, they increasingly focus on identifying risks and managing them before risks. Effective risk management will lead them to deal with potential problems. This thesis focuses on risk management of flight delay area using big real time data. It proposes two different prediction models, one is called General Long Term Departure Prediction Model and the other is named as Improved Real Time Arrival Prediction Model. By studying the main factors lead to flight delay, this thesis takes weather, carrier, National Aviation System, security and previous late aircraft as analysis factors. By utilizing our models can do not only long time but also short term flight delay predictions. The results demonstrate goodness of fit. Besides the theory part, it also presents a practical and beautiful web application for real time flight arrival prediction based on our second model.

关键词： Delays Biological system modeling Meteorology Atmospheric modeling Predictive models Airports Splines (mathematics)

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Learning from Combination of Data Chunks for Multi-class Imbalanced Data

Learning from Combination of Data Chunks for Multi-class Imb...

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International Joint Conference on Neural networks

作者： Xu-Ying Liu Qian-Qian Li Key Laboratory of Computer Network and Information Integration MOE School of Computer Science and Engineering Southeast University

ISBN: (纸本)9781479914821

Class-imbalance is very common in real-world applications. Previous studies focused on binary-class imbalance problem, whereas multi-class imbalance problem is more general and more challenging. Under-sampling is an effective and efficient method for binary-class imbalanced data. But when it is used for multi-class imbalanced data, many more majority class examples are ignored because there are often multiple majority classes, and the minority class often has few data. To utilize the information contained in the majority class examples ignored by under-sampling, this paper proposes a method ChunkCombine. For each majority class, it performs under-sampling multiple times to obtained non-overlapping data chunks, such that they contain the most information that a data sample of the same size can contain. Each data chunk has the same size as the minority class to achieve balance. Then every possible combination of the minority class and each data chunk from every majority class forms a balanced training set. ChunkCombine uses ensemble techniques to learn from the different training sets derived from all the possible combinations. Experimental results show it is better than many other popular methods for multi-class imbalanced data when average accuracy, G-mean and MAUC are used as evaluation measures. Besides, we discuss different evaluation measures and suggest that, a multi-class F-measure Mean F-Measure (MFM) is unsuitable for multi-class imbalanced data in many situations because it is not consistent with the standard F-measure in binary-class case and it is close to accuracy.

关键词： Training Accuracy Boosting Standards Feature extraction Educational institutions

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