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10th International Conference on computer Engineering and Networks, CENet 2020

作者： Li, Ming Liu, Bo Xing, Guangsheng Wang, Xiaodong Wang, Zhihui College of Intelligence Science and Technology National University of Defence Technology Changsha410073 China National Key Laboratory of Parallel and Distributed Processing College of Computer Science and Technology National University of Defence Technology Changsha410073 China

ISBN: (纸本)9789811584619

With the rapid development of Internet technology, various network attack methods come out one after the other. SQL injection has become one of the most severe threats to Web applications and seriously threatens various Web application services and users data security. There are both traditional detection methods and emerging methods based on deep learning technology with higher detection accuracy for the detection of SQL injection. However, they are all for detecting a single statement and cannot determine the stage of the attack. To further improve the effect of SQL injection detection, this paper proposes an integrated detection framework for SQL injection behavior based on both text features and traffic features. We propose a SQL-LSTM model based on deep learning technology as the detection model at the text features level. Meanwhile, the features of the data traffic are merged. By this integrated method, the detection effect of SQL injection is further improved. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Long short-term memory

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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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Efficient approach for repeated patterns mining based on indent shape of HTML documents

Efficient approach for repeated patterns mining based on ind...

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3rd International Conference on Cyber-Enabled distributed Computing and Knowledge Discovery, CyberC 2011

作者： Zhu, Yanxu Yin, Gang Wang, Huaimin Shi, Dianxi Rao, Xiang Yuan, Lin School of Computer National Laboratory for Parallel and Distributed Processing National University of Defense Technology 410073 Changsha Hunan China College of Electronic Technology Information Engineering University 450004 Zhengzhou Henan China

ISBN: (纸本)9780769545578

Mining of repeated patterns from HTML documents is the key step towards Web-based data mining and knowledge extraction. Many web crawling applications need efficient repeated patterns mining techniques to generate their wrapper automatically. Existing approaches such as tree matching and string matching can detect repeated patterns with high precision, but their performance is still a challenge for practical web crawling applications. In this paper, we propose an efficient approach for mining repeated patterns based on indent shape of HTML document. Indent shape is a novel and simple model of HTML document, in which tandem repeated waves have strong association with the repeated patterns to be detected. By scanning an indent shape with a horizontal indent-line from bottom to top, the tandem repeated waves are identified by filtering the wave segments with low self-similarities. After that the boundary of HTML code corresponding to repeated patterns can be identified, which could be transformed to regular expressions formal-defined easily. Extensive experiments on two practical data sets retrieved from Internet show that our approach achieves high efficiency significantly, and its precision performance is also generally better than the existing approaches. © 2011 IEEE.

关键词： HTML

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Pruning false positives of static data-race detection via thread specialization

Pruning false positives of static data-race detection via th...

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10th International Symposium on Advanced parallel processing Technologies, APPT 2013

作者： Chen, Chen Lu, Kai Wang, Xiaoping Zhou, Xu Fang, Li National Laboratory for Parallel and Distributed Processing National University of Defense Technology Changsha China College of Computer National University of Defense Technology Changsha China Information Center National University of Defense Technology Changsha China

ISBN: (纸本)9783642452925

Static data-race detection is a powerful tool by providing clues for dynamic approaches to only instrument certain memory accesses. However, static data-race analysis suffers from high false positive rate. A key reason is that static analysis overestimates the set of shared objects a thread can access. We propose thread specialization to distinguish threads statically. By fixing the number of threads as well as the ID assigned to each thread, a program can be transformed to a simplified version. Static data-race analysis on this simplified program can infer the range of addresses accessed by each thread more accurately. Our approach prunes false positives by an average of 89.2% and reduces dynamic instrumentation by an average of 63.4% in seven benchmarks. © 2013 Springer-Verlag.

关键词： Static analysis

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A wikipedia based semantic graph model for topic tracking in blogosphere

A wikipedia based semantic graph model for topic tracking in...

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22nd International Joint Conference on Artificial Intelligence, IJCAI 2011

作者： Tang, Jintao Wang, Ting Lu, Qin Wang, Ji Li, Wenjie College of Computer National University of Defense Technology Changsha China Department of Computing Hong Kong Polytechnic University Hong Kong Hong Kong National Laboratory for Parallel and Distributed Processing Changsha China

ISBN: (纸本)9781577355120

There are two key issues for information diffusion in blogosphere: (1) blog posts are usually short, noisy and contain multiple themes, (2) information diffusion through blogosphere is primarily driven by the "word-of- mouth" effect, thus making topics evolve very fast. This paper presents a novel topic tracking approach to deal with these issues by modeling a topic as a semantic graph, in which the semantic relatedness between terms are learned from Wikipedia. For a given topic/post, the name entities, Wikipedia concepts, and the semantic relatedness are extracted to generate the graph model. Noises are filtered out through the graph clustering algorithm. To handle topic evolution, the topic model is enriched by using Wikipedia as background knowledge. Furthermore, graph edit distance is used to measure the similarity between a topic and its posts. The proposed method is tested by using the real-world blog data. Experimental results show the advantage of the proposed method on tracking the topic in short, noisy texts.

关键词： Blogs

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A semantic-based meteorology grid service registry, discovery and composition framework

A semantic-based meteorology grid service registry, discover...

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2006 2nd International Conference on Semantics Knowledge and Grid, SKG

作者： Kaijun, Ren Nong, Xiao Junqiang, Song Weimin, Zhang Tao, Chen National Laboratory for Parallel and Distributed Processing NUDT Changsha Hunan 410073 China College of Science National University of Defense Technology Changsha Hunan 410073 China

ISBN: (纸本)0769532055

Meteorology Grid Computing aims to provide scientist with seamless, reliable, secure and inexpensive access to meteorological resources. In this paper, we presented a semantic-based meteorology grid service registry, discovery and composition framework by combining grid technologies and the advantages of semantic web techniques. The main objective of the framework is to support automating the discovery, selection, and workflow composition of semantically described heterogeneous meteorological grid services, which offers the possibility of facilitating geographically distributed meteorological scientists to resolve complex scientific problems cooperately. With this framework, the key technologies such as semantic registry, semantic matchmaking, QoS ranking and composition model, will be discussed. © 2006 IEEE.

关键词： Grid computing

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OONS: An object oriented neuronal simulator

OONS: An object oriented neuronal simulator

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2012 International Applied Mechanics, MechatronicsAutomation and System Simulation Meeting, AMMASS 2012

作者： Xu, Shuai Zhang, Baida Su, Yan Dept.of Information Engineering of the Academy of Armored Force Engineering Beijin China National laboratory for Parallel and Distributed Processing School of Computer NUDT China

OONS is a new Object Oriented Neural Simulator. The goal creating it is making the construction of neural model as quickly and easily as possible for the users, and can run in shorter time than other simulators. OONS is written in C++ programming language and using crank-Nicholson implicit integral method to allow for efficient simulations. Because of multi-level package, it is suitable both for beginners and for experts, especially the simulating algorithm researchers. We test OONS by Rallpacks benchmark set, the results show that OONS is higher efficient and more precision. © (2012) Trans Tech Publications, Switzerland.

关键词： Simulators

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Merge-Weighted Dynamic Time Warping for Speech Recognition

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Journal of computer Science & Technology 2014年第6期29卷 1072-1082页

作者：张湘莉兰骆志刚李明 State Key Laboratory of Pathogen and Biosecurity Beijing Institute of Microbiology and Epidemiology Science and Technology on Parallel and Distributed Processing Laboratory School of Computer Science National University of Defense Technology David R.Cheriton School of Computer Science University of WaterlooWaterlooOntario N2L 3G1Canada ACM IEEE

Obtaining training material for rarely used English words and common given names from countries where English is not spoken is difficult due to excessive time, storage and cost factors. By considering personal privacy, language- independent （LI） with lightweight speaker-dependent （SD） automatic speech recognition （ASR） is a convenient option to solve tile problem. The dynamic time warping （DTW） algorithm is the state-of-the-art algorithm for small-footprint SD ASR for real-time applications with limited storage and small vocabularies. These applications include voice dialing on mobile devices, menu-driven recognition, and voice control on vehicles and robotics. However, traditional DTW has several lhnitations, such as high computational complexity, constraint induced coarse approximation, and inaccuracy problems. In this paper, we introduce the merge-weighted dynamic time warping （MWDTW） algorithm. This method defines a template confidence index for measuring the similarity between merged training data and testing data, while following the core DTW process. MWDTW is simple, efficient, and easy to implement. With extensive experiments on three representative SD speech recognition datasets, we demonstrate that our method outperforms DTW, DTW on merged speech data, the hidden Markov model （HMM） significantly, and is also six times faster than DTW overall.

关键词： merge-weighted dynamic time warping natural language processing speech recognition and synthesis tem-plate confidence index

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VAWS: Constructing trusted open computing system of mapreduce with verified participants

VAWS: Constructing trusted open computing system of mapreduc...

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作者： Ding, Yan Wang, Huaimin Wei, Lifeng Chen, Songzheng Fu, Hongyi Xu, Xinhai School of Computer National University of Defense Technology Changsha HN China National Laboratory for Parallel and Distributed Processing National Univ. of Defense Technology Changsha HN China

MapReduce is commonly used as a parallel massive data processing model. When deploying it as a service over the open systems, the computational integrity of the participants is becoming an important issue due to the untrustworthy workers. Current duplication-based solutions can effectively solve non-collusive attacks, yet most of them require a centralized worker to re-compute additional sampled tasks to defend collusive attacks, which makes the worker a bottleneck. In this paper, we try to explore a trusted worker scheduling framework, named VAWS, to detect collusive attackers and assure the integrity of data processing without extra re-computation. Based on the historical results of verification, we construct an Integrity Attestation Graph (IAG) in VAWS to identify malicious mappers and remove them from the framework. To further improve the efficiency of identification, a verification-couple selection method with the IAG guidance is introduced to detect the potential accomplices of the confirmed malicious worker. We have proven the effectiveness of our proposed method on the improvement of system performance in theoretical analysis. Intensive experiments show the accuracy of VAWS is over 97% and the overhead of computation is closed to the ideal value of 2 with the increasing of the number of map tasks in our scheme. Copyright © 2014 The Institute of Electronics, Information and Communication Engineers.

关键词： MapReduce

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80GBaud time division multiplexing optical transceiver

80GBaud time division multiplexing optical transceiver

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Integrated Photonics Research, Silicon and Nanophotonics, IPRSN 2016

作者： Zhang, Luo Mingche, Lai Zhengbin, Pang Liquan, Xiao Weixia, Xu School of Computer Science National University of Defense Technology Changsha410073 China Parallel and Distributed Processing Laboratory National University of Defense Technology Changsha410073 China

High baud rate optical transceiver based on time division multiplexing technology is proposed. A communication channel at 80GBoud with 4 bit streams at 20Gbps is realized by 4-stage cascaded high speed switches with s... 详细信息

ISBN: (纸本)9781943580149

关键词： Photonics

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