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2012 International Conference on Computer Science and Electronics Engineering, ICCSEE 2012

作者： Wu, Yunlong Chen, Chen Wang, Huiquan Xu, Xinhai Zhou, Jie National Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha Hunan 410073 China School of Computer National University of Defense Technology Changsha Hunan 410073 China

ISBN: (纸本)9780769546476

Malicious code detection based on behaviors is the development direction of anti-virus techniques. However, the current detection methods based on this theory expose several problems such as the unclearness of behavior sequence analysis and the high false negatives. For this situation, this paper proposes a malicious code detection method based on least-squares estimation. In this method, it correlates program behaviors with time and subject-object, and then constitutes an accurate and complete behavior sequence. It can provide a preprocessing method for the subsequent detection. In order to improve the accuracy and intelligence of malicious code detection, we introduce the concept of expert subjective degree. By modeling malicious samples based on least-squares estimation we can train the Expert Subjective Degree Vector (ESDV) and simulate experts to judge the threat values of malicious codes. Experiments show that this method is more accurate than the current ways to detect the malicious codes which execute themselves in sub-period and sub-process ways, so it can be used as an effective complement of the current anti-virus software. © 2012 IEEE.

关键词： Codes (symbols)

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Security issues and solutions in cloud computing

Security issues and solutions in cloud computing

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32nd IEEE International Conference on distributed Computing Systems Workshops, ICDCSW 2012

作者： You, Pengfei Peng, Yuxing Liu, Weidong Xue, Shoufu National Key Laboratory for Parallel and Distributed Processing School of Computer Science National University of Defense Technology Changsha China Jiangsu Automation Research Institute Jiangsu China Air Defense Forces Academy CPLA Zhengzhou Henan China

ISBN: (纸本)9781467314237

Recently, Cloud computing, as one of the hottest words in IT world, has drawn great attention. Many IT companies such as IBM, Google, Amazon, Microsoft, Yahoo and others vigorously develop cloud computing systems and related products to customers. However, there are still some difficulties for customers to adopt cloud computing, in which many security issues exist, because data for a customer is stored and processed in cloud, not in a local machine. This paper briefly introduces cloud computing and its key concepts. In particularly, we intend to discuss security requirements and security issues involving data, application and virtualization in cloud computing, as well as current solutions to these issues. © 2012 IEEE.

关键词： Virtualization

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Prediction-based federated management of multi-scale resources in cloud

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Advances in Information Sciences and Service Sciences 2012年第6期4卷 324-334页

作者： Shi, Peichang Wang, Huaimin Yin, Gang Lu, Fengshun Wang, Tianzuo National Laboratory for Parallel and Distributed Processing College of Computer National University of Defense Technology Changsha China

The connotation of the cloud resources have been extended to be multi-scale resources, which includes central resources as presented by data center, edge resources as presented by Content Delivery Network (CDN) and end resources as presented by Peer-to-Peer (P2P). Under the development situation of the scale of the cloud services, it is difficult to provide services (e.g. streaming distribution) with guaranteed QoS only relying on single type of resource (e.g. central resources) to geo-distributed users. Therefore, making multi-resources cooperative to provide reliable services is necessary. However, it is a great challenge to realize Federated Management of Multi-scale Resources (FMMR). In this research, we propose the idea of prediction-based FMMR, and present the problem formulation introducing economic profit from the perspective of CDN operators. Then, we present the method of Time-series Prediction based on Wavelet Analysis (TPWA) to predict the resource requirements of streaming cloud services in CDN. Finally, the predictability of the resource requirement pattern of the streaming cloud service and the effectiveness of our proposed method have been verified, based on the traces collected from a real CDN entity.

关键词： Quality of service

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Topology-aware deployment of scientific applications in cloud computing

Topology-aware deployment of scientific applications in clou...

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2012 IEEE 5th International Conference on Cloud Computing, CLOUD 2012

作者： Fan, Pei Chen, Zhenbang Wang, Ji Zheng, Zibin Lyu, Michael R. National Laboratory for Parallel and Distributed Processing National University of Defense Technology Changsha 410073 China Dept. of Computer Science and Engineering Chinese University of Hong Kong Hong Kong Hong Kong

ISBN: (纸本)9780769547558

Nowadays, more and more scientific applications are moving to cloud computing. The optimal deployment of scientific applications is critical for providing good services to users. Scientific applications are usually topology-aware applications. Therefore, considering the topology of a scientific application during the development will benefit the performance of the application. However, it is challenging to automatically discover and make use of the communication pattern of a scientific application while deploying the application on cloud. To attack this challenge, in this paper, we propose a framework to discover the communication topology of a scientific application by pre-execution and multi-scale graph clustering, based on which the deployment can be optimized. Comprehensive experiments are conducted by employing a well-known MPI benchmark and comparing the performance of our method with those of other methods. The experimental results show the effectiveness of our topology-aware deployment method. © 2012 IEEE.

关键词： Cloud computing

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A Multi-Hash Based Signature Allocation Method in Wireless Network

A Multi-Hash Based Signature Allocation Method in Wireless N...

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International Conference on Wireless Communications, Networking and Mobile Computing (WiCom)

作者： Xuan Dong Xiaodong Wang Shaohe Lv Quan Liu Hu Shen Wenping Liu Xingming Zhou National Laboratory of Parallel and Distributed Processing National University of Defense Technology Changsha China

ISBN: (纸本)9781612846842

Wireless interference does not necessarily result in the lost of all the information of the desired signal. In this paper, we study the signature allocation in wireless networks by exploiting the retained signal feature under interference. The commonly used node signature includes MAC address and PN sequence. However, both of them take a lot of time to identify the signature when the network scale is large. We propose a novel signature allocation method based on a multi-hash policy, using a set of hash functions and a mapping-table to identify the signature. The proposed method decreases significantly both the signature identification complexity and the signature conflict probability. We implement the algorithm in GNU Radio and evaluate the performance in a testbed of three USRP nodes. The result shows that, under typical settings,

关键词： Wireless networks Interference Media Access Protocol Resource management Heuristic algorithms Algorithm design and analysis

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Game-based software errors detection

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Advances in Information Sciences and Service Sciences 2012年第15期4卷 426-433页

作者： Chen, Jie National Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha 410073 China

Software security is one of the most important aspects of software quality, but errors in programs are still inevitable. Despite the development of static and dynamic analysis, the useful but costly manual analysis is still heavily used. In this paper, we propose a human computation game based software error detection mechanism. The purpose of our mechanism is to improve the effectiveness and efficiency of manual error detection. The framework includes four main steps: 1) get all suspicious error locations by static tools according to different security properties;2) slice the programs from each error location;3) construct games for each slice and show them to players;4) collect game information and generate the final error report. We evaluate our approach by instantiating it for detecting errors of buffer overflow. The results show that our technique is successful in practice.

关键词： Error detection

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Exploiting Attribute Redundancy in Extracting Open Source Forge Websites

Exploiting Attribute Redundancy in Extracting Open Source Fo...

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International Conference on Cyber-Enabled distributed Computing and Knowledge Discovery, CyberC

作者： Xiang Li Yanxu Zhu Gang Yin Tao Wang Huaimin Wang National Laboratory for Parallel and Distributed Processing National University of Defense Technology Changsha China

Open Source Forge (OSF) websites provide information on massive open source software projects, extracting these web data is important for open source research. Traditional extraction methods use string matching among pages to detect page template, which is time-consuming. A recent work published in VLDB exploits redundant entities among websites to detect web page coordinates of these entities. The experiment gives good results when these coordinates are used for extracting other entities of the target site. However, OSF websites have few redundant project entities. This paper proposes a modified version of that redundancy-based method tailored for OSF websites, which relies on a similar yet weaker presumption that entity attributes are redundant rather than whole entities. Like the previous work, we also construct a seed database to detect web page coordinates of the redundancies, but all at the attribute-level. In addition, we apply attribute name verification to reduce false positives during extraction. The experiment result indicates that our approach is competent in extracting OSF websites, in which scenario the previous method can not be applied.

关键词： Redundancy HTML Databases Licenses Data mining Measurement

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Research of Context Situation Awareness Technology

Research of Context Situation Awareness Technology

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IEEE International Symposium on Object/Component/Service-Oriented Real-Time distributed Computing Workshops (ISORCW)

作者： Dianxi Shi Zhendong Wu Bo Ding Huining Yan National Key Laboratory for Parallel and Distributed Processing School of Computer Science National University of Defense Technology Changsha China

Context situation, which means a snapshot of the status of the real world, is formed by integrating a large amount of contexts collected from various resources. How to get the context situation and use the situation to provide better services is a challenging issue. In this paper, we focused on this challenge on the basis of the mobile cloud computing architecture. An abstract model is proposed in this paper to uniformly collect the context and send them to cloud. A rule-based large-scale context aggregation algorithm is also proposed which utilizes the MapReduce computing paradigm. Finally, a large-scale context management framework based on the abstract model and the context aggregation algorithm is proposed, and a real-time traffic demo is implemented to verify the validity of the framework.

关键词： Context Mobile handsets Real time systems Sensors Servers Mobile communication Context modeling

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Simulation-based evaluation of the Imagine stream processor with scientific programs

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International Journal of High Performance Computing and Networking 2012年第2期7卷 99-110页

作者： Che, Yonggang Xu, Chuanfu Lu, Pingjing Wang, Zhenghua National Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha 410073 Hunan China

This paper evaluates the performance and efficiency of Imagine stream processor for scientific programs. It classifies scientific programs into three classes based on their computation to memory access ratios. Typical programs are selected and measured on a simulated Imagine and two general-purpose processors. Comparative analysis is made with special attentions on the computational efficiency, power efficiency and performance bottleneck. The results show that programs in Class 1 attain high performance and high computational efficiency on Imagine. Their performance is only restricted by limited ILP and load imbalance across ALUs. Programs in Class 2 attain moderate performance but non-satisfactory computational efficiency on Imagine due to limited LRF and SRF reuse. Programs in Class 3 attain extremely low performance on Imagine because most of the execution time is spent on DRAM accesses. The estimated power efficiency on Imagine is excellent except for programs in Class 3. Copyright © 2012 Inderscience Enterprises Ltd.

关键词： Computational efficiency

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UCBench: A user-centric benchmark suite for C code static analyzers

UCBench: A user-centric benchmark suite for C code static an...

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International Conference on Information Science and Technology (ICIST)

作者： Jiangchao Liu Liqian Chen Longming Dong Ji Wang National Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha China

In recent years, many C code static analyzers, with different abilities of bug detection, have appeared and been applied in various domains. There are so many choices that it becomes hard for programmers to know in detail the strengths as well as limitations of all these analyzers and to find the most suitable ones for their code. In this paper, we propose a benchmark for C code static analyzers, named UCBench, to provide quantitative and qualitative measurements for evaluating analyzers. Being different from other benchmarks, UCBench concentrates more on users' requirements rather than the improvements of bug detecting technique itself. The major components of UCBench include test case database, evaluation metrics and harness. We classify test cases into several groups according to their attributes and design various user-centric evaluation metrics. Besides, we develop some harness to automate the evaluation process. Finally, we demonstrate our benchmark suite over four C code static analyzers: Flawfinder, Cppcheck, Uno and Splint.

关键词： Benchmark testing Libraries Measurement Computer bugs Databases Standards Monitoring

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