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International Conference on Instrumentation, Measurement, Computer, Communication and Control (IMCCC)

作者： Liqun Wang Zheng Zhang Weichao Li Guangwei Xie State key Laboratory of Mathematical Engineering and Advanced Computing MEAC Zhengzhou China Shanghai RedNeurons Co. Ltd. Shanghai China

ISBN: (数字)9781538682463

ISBN: (纸本)9781538682470

Cyber defenses based on heterogeneous redundant techniques have been proposed as a way to make systems more resistant to attacks. These defense approaches depend on the heterogeneous resources within the system in order to make attacks more complicated. However, little work has been done on evaluating or measuring heterogeneity among systems. In this work, we first build the attack surface model of information system with dissimilar redundant architecture. The attack surface model helps us identify the special system resources applied to the attack instances on a tested. Based on the analysis results, we get the attack surface resources of instance object. For the sake of increasing the system security, we construct the more heterogeneous executive entities by the attack surface resources. When we evaluate the heterogeneity among them, we conclude that the attack surface model administers to improve system security and its security increases as the heterogeneity of its executive entities becomes larger.

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New strategy for searching disturbance vector of SHA-1 collision attack

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Science China(Information Sciences) 2017年第12期60卷 280-282页

作者： Hao FENG Guang ZENG Wenbao HAN Yang YANG State Key Laboratory of Mathematical Engineering and Advanced Computing Centrum Wiskunde & Informatica Amsterdam 1098 XG Zhengzhou Information Science and Technology Institute Trusted Computing and Information Assurance Laboratory Institute of SoftwareChinese Academy of Sciences

Dear editor,We present a new algorithm to search for effective disturbance vectors with a complexity of 2;based on the following two properties of disturbance *** property is the weight correlation between the first 16-step disturbance vectors and the60-step disturbance *** other property requires all the differences of the active bit positions of the first 16-step disturbance vectors to be

关键词： New strategy for searching disturbance vector of SHA-1 collision attack

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A new socio-rational secret sharing scheme

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International Journal of Innovative computing and Applications 2017年第1期8卷 21-30页

作者： Jin, Jianghao Zhou, Xie Ma, Chuangui Wang, Xu'an State Key laboratory of Mathematical Engineering and Advanced Computing ZhengzhouHenan China Department of Basic Courses Army Aviation Institute Beijing China Engineering University of CAPF Xi'anShanxi China

We introduce the concept of a socio-rational secret sharing scheme, in which shares are delivered based on players' reputation and the way they contact with other participants. At the secret sharing stage, weights of players are defined such that participants who cooperate will get more shares than those who defect. Alternatively, a newcomer can be enrolled in the scheme when a corrupted player is disengaged immediately. In other words, this scheme successfully renews shares at each cycle without changing the secret, and it allows trusted participants to have a chance to obtain more authority. Our intention is that, in real world applications, participants of a secure scheme may have different levels of importance (i.e., the weight of shares a player owns) as well as reputation (i.e., cooperation with other players for the share renewal or secret recovery). Therefore, a good scheme should balance these two factors alone. In the proposed schemes, both the traditional and rational players are considered in an unconditionally secure setting. Copyright © 2017 Inderscience Enterprises Ltd.

关键词： Game theory

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Delay-Distance Correlation Study for IP Geolocation

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Wuhan University Journal of Natural Sciences 2017年第2期22卷 157-164页

作者： DING Shichang LUO Xiangyang YE Dengpan LIU Fenlin The State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou 450001 Henan China School of Computer Wuhan University Wuhan 430072Hubei China

Although many classical IP geolocation algorithms are suitable to rich-connected networks, their performances are seriously affected in poor-connected networks with weak delay-distance correlation. This paper tries to improve the performances of classical IP geolocation algorithms by finding rich-connected sub-networks inside poor-connected networks. First, a new delay-distance correlation model （RTD-Corr model） is proposed. It builds the relationship between delay-distance correlation and actual network factors such as the tortuosity of the network path and the ratio of propagation delay. Second, based on the RTD-Corr model and actual network characteristics, this paper discusses about how to find rich-connected networks inside China Intemet which is a typical actual poor-connected network. Then we find rich-connected sub-networks of China Intemet through a large-scale network measurement which covers three major ISPs and thirty provinces. At last, based on the founded rich-connected sub-networks, we modify two classical IP geolocation algorithms and the experiments in China Intemet show that their accuracy is significantly increased.

关键词： IP geolocation delay-distance correlation network security network measurement rich-connected sub-networks

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Residual Networks for Light Field Image Super-Resolution

Residual Networks for Light Field Image Super-Resolution

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IEEE/CVF Conference on Computer Vision and Pattern Recognition

作者： Shuo Zhang Youfang Lin Hao Sheng Beijing Key Lab of Traffic Data Analysis and Mining School of Computer and Information Technology Beijing Jiaotong University Key Laboratory of Intelligent Passenger Service of Civil Aviation CAAC State Key Laboratory of Software Development Environment School of Computer Science and Engineering Beihang University Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University

Light field cameras are considered to have many potential applications since angular and spatial information is captured simultaneously. However, the limited spatial resolution has brought lots of difficulties in developing related applications and becomes the main bottleneck of light field cameras. In this paper, a learning-based method using residual convolutional networks is proposed to reconstruct light fields with higher spatial resolution. The view images in one light field are first grouped into different image stacks with consistent sub-pixel offsets and fed into different network branches to implicitly learn inherent corresponding relations. The residual information in different spatial directions is then calculated from each branch and further integrated to supplement high-frequency details for the view image. Finally, a flexible solution is proposed to super-resolve entire light field images with various angular resolutions. Experimental results on synthetic and real-world datasets demonstrate that the proposed method outperforms other state-of-the-art methods by a large margin in both visual and numerical evaluations. Furthermore, the proposed method shows good performances in preserving the inherent epipolar property in light field images.

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A Forensic Method for Efficient File Extraction in HDFS Based on Three-Level Mapping

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Wuhan University Journal of Natural Sciences 2017年第2期22卷 114-126页

作者： GAO Yuanzhao LI Binglong The Forth College Information Engineering UniversityZhengzhou 450001 Henan China State Key Laboratory of Mathematical Engineering and Advanced Computing Information Engineering University Zhengzhou 450001 Henan China

The large scale and distribution of cloud computing storage have become the major challenges in cloud forensics for file extraction. Current disk forensic methods do not adapt to cloud computing well and the forensic research on distributed file system is inadequate. To address the forensic problems, this paper uses the Hadoop distributed file system （HDFS） as a case study and proposes a forensic method for efficient file extraction based on three-level （3L） mapping. First, HDFS is analyzed from overall architecture to local file system. Second, the 3L mapping of an HDFS file from HDFS namespace to data blocks on local file system is established and a recovery method for deleted files based on 3L mapping is presented. Third, a multi-node Hadoop framework via Xen virtualization platform is set up to test the performance of the method. The results indicate that the proposed method could succeed in efficient location of large files stored across data nodes, make selective image of disk data and get high recovery rate of deleted files.

关键词： the Hadoop distributed file system （HDFS） forensics cloud forensics three-level （3L） mapping metadata file extraction file recovery Ext4

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Multi-Variant Execution Research of Software Diversity

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Journal of Physics: Conference Series 2019年第1期1325卷

作者： Zhenwu Liu Zheng Zhang Jiexin Zhang Hao Liu State key Laboratory of Mathematical Engineering and Advanced Computing PLA Strategic Support Force Information Engineering University ZhengZhou HeNan 450001 China

As more and more software products are threatened by malicious reverse analysis, along with software products are pirated, tampered with and so on, it is of great significance to study software security protection technology in depth. As a software security protection technology, software diversification introduces uncertainty into the target program and provides probabilistic protection for the target program. Multi-Variant Execution (MVE) are fine-grained implementation of software diversification that produces functionally identical variants at the system call level. This article first introduces the related concepts of multi-variant execution. Secondly, it expounds the key technologies of multi-variant execution implementation-variant generation, variant monitor, input/output and synchronization, monitor-variant communication. Security of monitors and different variant communication technologies are analyzed and compared, their advantages and defects are pointed out respectively. Several implementation methods of multi-variant execution design are summarized. Finally, the reasons for the false negatives and false positives of attack events are analyzed, and the prospects and challenges of using multi-variant execution techniques to implement security systems are summarized.

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Erratum: “Spin wave propagation in a ferrimagnetic thin film with perpendicular magnetic anisotropy” [Appl. Phys. Lett. 117, 232407 (2020)]

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Applied Physics Letters 2021年第2期118卷

作者： Lutong Sheng Yawen Liu Jilei Chen Hanchen Wang Jianyu Zhang Mingfeng Chen Ji Ma Chuanpu Liu Sa Tu Ce-Wen Nan Haiming Yu 1Fert Beijing Institute School of Integrated Circuit Science and Engineering Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University Beijing 100191 China 2Department of Physics and Astronomy University of California Riverside California 92521 USA 3State Key Lab of New Ceramics and Fine Processing School of Materials Science and Engineering Tsinghua University Beijing 100084 China

In the original article,1 the line spectrum in Fig. 2(b) is missing. The correct Fig. 2(b), given here, shows how we get the frequency difference from this spec

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A probabilistic framework of preference discovery from folksonomy corpus

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Frontiers of Computer Science 2017年第6期11卷 1075-1084页

作者： Xiaohui GUO Chunming HU Richong ZHANG Jinpeng HUAI State Key Lab of Software Development Environment Beihang University Beijing 100191 China Institute of Advanced Computing Technology School of Computer Science and Engineering Beihang University Beijing 100191 China

The increasing availability of folksonomy data makes them vital for user profiling approaches to precisely detect user preferences and better understand user interests, so as to render some personalized recommendation or re- trieval results. This paper presents a rigorous probabilis- tic framework to discover user preference from folkson- omy data. Furthermore, we incorporate three models into the framework with the corresponding inference methods, expectation-maximization or Gibbs sampling algorithms. The user preference is expressed through topical conditional distributions. Moreover, to demonstrate the versatility of our framework, a recommendation method is introduced to show the possible usage of our framework and evaluate the applica- bility of the engaged models. The experimental results show that, with the help of the proposed framework, the user pref- erence can be effectively discovered.

关键词： preference discovery tagging folksonomy so-cial annotation

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A Demand-Driven Pointer-Range Analysis Technique for Data Transmission Optimization

A Demand-Driven Pointer-Range Analysis Technique for Data Tr...

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IEEE International Conference on Big Data and Cloud computing (BdCloud)

作者： Bo Zhao Xiaoyan Xu Peng Liu Yingying Li Rongcai Zhao Ramin Yahyapour Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen Göettingen Germany State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781728111421;9781728111414

The goal of range analysis is to determine a program variable's minimum and maximum value at runtime and it becomes more complex to calculate the range space when the variable is a pointer. In this paper, we analyzed the optimization problem of data transmission in parallelization for heterogeneous structure and distributed memory structure. On the basis of symbolic range analysis, we proposed a demand-driven pointer-range analysis technique for data transmission optimization. At first, we introduced the analysis framework of this technique and the representations of pointer range. Then we described the algorithm of the demand-driven pointer-range analysis. The experimental results with various benchmarks demonstrate that our technique can bring about significant performance improvement.

关键词： Optimization Data communication Parallel processing Arrays Data models Software

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