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2011 5th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2011

作者： Wen, Yan Zhao, Jinjing Huang, Minhuan Chen, Hua Beijing Institute of System Engineering Beijing China National Key Laboratory of Science and Technology on Information System Security Beijing China Department of Computer Science and Technology Tsinghua University Beijing China

ISBN: (纸本)9780769543727

In this paper, we propose a novel tiny hardware assisted hypervisor, called Aquarius, to introspect the commodity OSes in a non-bypassable way. Compared to previous hypervisor-based approaches, Aquarius offers three distinct advantages: preinstalled commodity OS compatibility, implicit introspection of OS resources (e.g., memory, I/O device accesses, processes, files, network connections) and non-bypassable information exposing interface. Unlike typical hypervisors, Aquarius can migrate a preinstalled OS onto it. By tracking the low-level interactions between the OS and the hardware, Aquarius is decoupled with the explicit OS implementation information which it is subvertable for the privileged malware. Our functionality evaluation shows Aquarius can accurately reconstruct the OS resources at hypervisor layer while the performance evaluation shows desktop-oriented workloads achieve 92.68% of native speed on average. © 2011 IEEE.

关键词： Aquarius Hardware Kernel Malware OS compatibility OS introspection OS resources Program processors Virtual machine monitors commodity OSes hardware assisted hypervisor hardware-assisted hypervisor invasive software malware nonbypassable information operating system kernels virtualisation

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Identity Based Encryption and Biometric Authentication Scheme for Secure Data Access in Cloud Computing

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电子学报(英文版) 2012年第2期21卷 254-259页

作者： CHENG Hongbing RONG Chunming TAN Zhenghua ZENG Qingkai State Key Laboratory for Novel Software Technology Nanjing University Nanjing 210093 China Department of Information Engineering Jiangsu City Vocation College Nanjing 210036 China Department of Electronic Engineering and Computer Science University of Stavanger 4036 Stavanger Norway Department of Electronic Systems Aalborg University Niels Jernes Vej 12 9220 Aalborg Denmark

Cloud computing will be a main information infrastructure in the future;it consists of many large datacenters which are usually geographically distributed and heterogeneous. How to design a secure data access for cloud computing platform is a big challenge. In this paper, we propose a secure data access scheme based on identity-based encryption and biometric authentication for cloud computing. Firstly, we describe the security concern of cloud computing and then propose an integrated data access scheme for cloud computing, the procedure of the proposed scheme include parameter setup, key distribution, feature template creation, cloud data processing and secure data access control. Finally, we compare the proposed scheme with other schemes through comprehensive analysis and simulation. The results show that the proposed data access scheme is feasible and secure for cloud computing.

关键词：计算安全数据访问身份验证生物识别加密信息基础设施地理分布数据中心

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Pulse Coupled Neural Network Edge-Based Algorithm for Image Text Locating

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Tsinghua science and technology 2011年第1期16卷 22-30页

作者：张昕孙富春 State Key Lab of Intelligent Technology and Systems Tsinghua National Laboratory for Information Science and TechnologyDepartment of Computer Science and TechnologyTsinghua University

This paper presents a method for locating text based on a simplified pulse coupled neural network （PCNN）. The PCNN generates a firings map in a similar way to the human visual system with non-linear image processing. The PCNN is used to segment the original image into different planes and edges detected using both the PCNN firings map and a phase congruency detector. The different edges are integrated using an automatically adjusted weighting coefficient. Both the simplified PCNN and the phase congruency energy model in the frequency domain imitate the human visual system. This paper shows how to use PCNN by changing the compute space from the spatial domain to the frequency domain for solving the text location problem. The algorithm is a simplified PCNN edge-based （PCNNE） algorithm. Three comparison tests are used to evaluate the algorithm. Tests on large data sets show PCNNE efficiently detects texts with various colors, font sizes, positions, and uneven illumination. This method outperforms several traditional methods both in text detection rate and text detection accuracy.

关键词： simplified pulse coupled neural network phase congruency text location

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Efficiently querying business process models with BeehiveZ

Efficiently querying business process models with BeehiveZ

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19th Conference on Business Process Management 2011, BPM 2011

作者： Jin, Tao Wang, Jianmin Wen, Lijie Department of Computer Science and Technology Tsinghua University China School of Software Tsinghua University China Key Laboratory for Information System Security Ministry of Education China Tsinghua National Laboratory for Information Science and Technology China

The technology of business process management is being more widely used, and there are more and more business process models. In this demonstration, we show how to query a large number of models efficiently with BeehiveZ. Four types of queries are all supported in BeehiveZ, i.e. exact query based on structure, similarity query based on structure, exact query based on behavior, similarity query based on behavior. BeehiveZ provides different indexes to facilitate the efficient query processing of different types of queries. To make BeehiveZ more applicable, label similarity is considered.

关键词： Enterprise resource management

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Activity recognition based on semantic spatial relation

Activity recognition based on semantic spatial relation

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International Conference on Pattern Recognition

作者： Lingxun Meng Laiyun Qing Peng Yang Jun Miao Xilin Chen Dimitris N. Metaxas University of the Chinese Academy of Sciences Beijing Beijing CN Computer Science Department Rutgers University Piscataway NJ USA Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China

We propose an approach to recognize group activities which involve several persons based on modeling the interactions between human bodies. Benefitted from the recent progress in pose estimation [1], we model the activities as the interactions between the parts belong to the same person (intra-person) and those between the parts of different persons (inter-person). Then a unified, discriminative model which integrates both types of interactions is developed. The experiments on the UT-Interaction Dataset [2] show the promising results and demonstrate the power of the interacting models.

关键词： Joints Humans Semantics Testing Estimation Biological system modeling Image recognition

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Index system of network security and survivability

Index system of network security and survivability

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1st International Conference on Instrumentation and Measurement, computer, Communication and Control, IMCCC2011

作者： Ming, Liang Wang, Dongxia Zhang, Lufeng Kuang, Xiaohui Tang, Jian Wang, Chunlei Science and Technology on Information System Security Laboratory Beijing China Beijing Institute of System and Engineering Beijing China Department of Computer Science and Technology Tsinghua University Beijing China

ISBN: (纸本)9780769545196

In order to set up universal criteria for measuring and evaluating network security and survivability, this paper presents a novel index system. This index system was built according to the Protection-Detection-Response (PDR) security model and the Resistance-Recognition-Recovery (R3) survivability principle of network in the presence of attacks, failures, or accidents. And all the 24 metrics in the index system are used to cover the characters of network security and survivability. The index system is organized with three-layer structure like a tree. The first layer, i.e. root node, is called network security and survivability. The second layer includes three indexes, i.e. resistance metric, awareness metric, and recovery metric. The third layer includes 20 indexes abstracted from different network layers, survivability characters, and survivability methods and so on. This novel index system is quantifiable, universal, consistent, compatible, and fine-scale, which is suitable for different network systems. At last, a case for how to using these index system to measure network security and survivability is also given. © 2011 IEEE.

关键词： Network security

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An overview of bootkit attacking approaches

An overview of bootkit attacking approaches

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2011 7th International Conference on Mobile Ad-hoc and Sensor Networks, MSN 2011

作者： Li, Xiang Wen, Yan Huang, Min Huan Liu, Qiang Beijing Institute of System Engineering Beijing China National Key Laboratory of Science and Technology on Information System Security Beijing China

ISBN: (纸本)9780769546100

Boot kit, as an innovative root kit technology, transfer its storage location from the file system to the hardware store, and activates itself while or even before the operating system kernel is loaded. Therefore, boot kit can tamper the operating system and control the whole computer system. Compared to classic malware, it achieves a more powerful capability of hiding and controlling. This paper takes an overview of existing various boot kit technologies and summarizes their technical characteristics. This opens a door to the malware defenders for preventing the computer systems from boot kit. © 2011 IEEE.

关键词： Malware

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Using random walks for multi-label classification 11

Using random walks for multi-label classification

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20th ACM Conference on information and Knowledge Management, CIKM'11

作者： Wang, Chaokun Zheng, Wei Liu, Zhang Bai, Yiyuan Wang, Jianmin School of Software Tsinghua University Beijing 100084 China Department of Computer Science and Technology Tsinghua University China Tsinghua National Laboratory for Information Science and Technology China Key Laboratory for Information System Security Ministry of Education China

ISBN: (纸本)9781450307178

The Multi-Label Classification (MLC) problem has aroused wide concern in these years since the multi-labeled data appears in many applications, such as page categorization, tag recommendation, mining of semantic web data, social network analysis, and so forth. In this paper, we propose a novel MLC solution based on the random walk model, called MLRW. MLRW maps the multi-labeled instances to graphs, on which the random walk is applied. When an unlabeled data is fed, MLRW transforms the original multi-label problem to some single-label subproblems. Experimental results on several real-world data sets demonstrate that MLRW is a better solution to the MLC problems than many other existing multi-label classification methods. © 2011 ACM.

关键词： Random processes

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Linear complexity of sequences produced by single cycle T-function

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The Journal of China Universities of Posts and Telecommunications 2011年第4期18卷 123-128页

作者： WANG Yan HU Yu-pu LI Shun-bo YANG Yang Key Laboratory of Computer Networks and Information Security Ministry of Education Xidian University Xi'an 710071 China Department of Mathematics Xi'an University of Architecture and Technology Xi'an 710055 China

Four kinds of sequences generated by single cycle triangular function （T-function） are investigated to check the possibility for a single cycle T-function to be a cryptographic component in stream ciphers. Based on the special properties of single cycle T-function and an algorithm due to Wei, linear complexities of these four kinds of sequence are all acquired. The results show that single cycle T-function sequences have high linear complexity. Therefore, T-function satisfies the essential requirements being a basic component of stream cipher.

关键词： stream cipher single cycle T-function linear complexity

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Deterministic Pilot Design for MIMO OFDM system Based on Compressed Sensing

Deterministic Pilot Design for MIMO OFDM System Based on Com...

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2012 IEEE 14th International Conference on Communication technology

作者： Nan Jing Weihong Bi Lin Wang School of Information Science and Engineering Yanshan University The Key Laboratory for Special Fiber and Fiber Sensor of Hebei Province School of Information Science and Engineering Yanshan University The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province

ISBN: (纸本)9781467321006

We consider the problem of pilot design for sparse multipath channel estimation in multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) system in this *** order to reconstruct MIMO sparse channel,the prevalent compressed sensing (CS) theory is *** to random pilot construction,a deterministic pilot de- sign method is exploited to form the measurement matrix by deterministically extracting some rows of Fourier matrix that satisfies Restricted Isometry Property (RIP).Two families of continuous functions,namely f1 -SL0 and f 2-SL0,are investi- gated in this paper to approximate A 0norm for MIMO sparse channel *** results suggest that the de- terministic pilot design scheme performs as well as the random one at both low and high signal noise ratio (SNR).Moreover,f1 - SL0 and f 2-SL0 outperform A 1-dantzig algorithm with faster running time and better anti-noisy performance.

关键词： sparse channel estimation,deterministic pilot design,compressed sensing,MIMO OFDM

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