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International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS)

作者： Jun Yang Xiangping Du Liang Zhou Songling Shan Baojiang Cui School of Computer Science Beijing University of Posts and Telecommunications Beijing China National Engineering Laboratory for Mobile Network Security China China Electric Power Research Institute Beijing China

ISBN: (纸本)9781509009855

Anomaly detection is an important component of computer security defense. As the security situation becomes increasingly severe, abnormality is detected by the sequential pattern mining has become a hot research topic. For normal behavior to identify in anomaly detection, proposed software behavior pattern recognition technology which based on improved prefixspan algorithms and sequence similarity comparison, mainly for software behavior java program under windows platform identification. The method uses sequential pattern mining to model the software behavior of the sample program, Extraction behavior of the software in the training data based on system call sequence support, and established pattern library to represent the outline of a software behavior. In the detection phase, compare the program library in the normal sequence mode with the current pattern to be detected and calculate sequence similarity, identify the target behavior. In this paper, the method has good performance in terms of software behavior recognition. Finally, the software behavior in network behavior, given the specific experimental procedures, demonstrate the effectiveness of this method.

关键词： Databases Software Hidden Markov models Data mining Monitoring Probes

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A pattern-matching method for extracting personal information in Farsi content

UPB Scientific Bulletin, Series C: Electrical Engineering an...

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UPB Scientific Bulletin, Series C: Electrical engineering and computer Science 2016年第1 1期78 78卷 125-138页

作者： Emami, Hojjat Shirazi, Hossein Abdollahzadeh Barforoush, Ahmad Hourali, Maryam Social Network and Intelligent Systems Laboratory Faculty of Artificial Intelligence Malek-Ashtar University of Technology Tehran Iran Intelligent Systems Laboratory Computer Engineering Department Amir Kabir University of Technology Tehran Iran Department of Information Communication and Security Malek-Ashtar University of Technology Tehran Iran

Personal information extraction as a subtask of entity profiling is the process of identifying and extracting useful and structured information of the focus person named-entity from the content related to it. This is a demanding task, so it is of great importance of how to extract the personal information in a given text. In this paper, we present an approach to extract the relevant information of the focus persons in Farsi content. Our approach contains three steps, pre-processing, attribute extraction and cross-document profile fusion. In pre-processing step, we prepare the input text as system's desired format using some existing text processing tools. In attribute extraction phase, we identify and extract all the related attributes of the target persons in a given text. To fulfill this aim, we use a pattern-matching approach. This method contains a set of keyword-based patterns and manually collected pre-compiled attribute-value candidate lists. In cross-document profile fusion phase, we integrate the distributed information of the focus persons from multiple documents and resolve ambiguity between person names. We evaluate our approach on a sample Farsi textual corpus drawn from news Websites and Wikipedia articles. The experimental results show that our approach is capable to extract personal information, thereby laying the foundation for person named-entity profiling in Farsi.

关键词： Pattern matching

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The design and implementation of network attack and defense platform based on cloud desktop

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Journal of Physics: Conference Series 2017年第1期887卷

作者： Zining Yan Yunhan Wang Shijiao Shao Boquan Li Embedded System Lab. College of Computer Science and Technology Harbin China Institute of Information Engineering Chinese Academy of Sciences School of Cyber Security University of Chinese Academy of Sciences Key Laboratory of Network Assessment of Technology Chinese Academy of Sciences Beijing China

This paper discusses the cloud desktop technology, virtualization technology and penetration testing technology used in the network attack and defense training platform, and introduces the design and implementation process of the network attack and defense training platform. This paper focuses on the cloud desktop construction scheme based on B/S structure, and aims to enhance the flexibility and convenience of network attack and defense training platform.

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The Performance Optimization of Hadoop during Mining Online Education Packets for Malware Detection

The Performance Optimization of Hadoop during Mining Online ...

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International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS)

作者： Xuan Tian Baojiang Cui Jiangdong Deng Jun Yang China Communications Construction Group Design Institute Co. Ltd College of Computer Science Beijing University of posts and telecommunications Beijing China National Engineering Laboratory for Mobile Network Security Beijing University of Posts and Telecommunications Beijing Beijing CN

ISBN: (纸本)9781509009855

network security is becoming more and more important because there is a lot of anomaly traffic information in some websites such as online education. In order to detect the anomaly traffic effectively, we can use some cloud computing tools such as Hadoop. For the sake of good performance of Hadoop, we need to do performance tuning. This paper mainly focused on the two aspects of performance tuning: 1. This paper deeply researched the phases of Hadoop (like Map and Reduce) and the effective of Hadoop had been greatly improved with the help of performance tuning. 2. This paper pointed out a compressed Trie algorithm to replace the hash table during the map phase and solved the problem of low efficiency.

关键词： Tuning Compression algorithms Education Memory management Indexes Optimization Cloud computing

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Trusted Boolean Search on Cloud Using Searchable Symmetric Encryption

Trusted Boolean Search on Cloud Using Searchable Symmetric E...

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IEEE International Conference on Trust, security and Privacy in Computing and Communications (TrustCom)

作者： Cong Zuo James Macindoe Siyin Yang Ron Steinfeld Joseph K. Liu School of Computer and Information Engineering Zhejiang Gongshang University Zhejiang P.R. China Faculty of Information Technology Clayton Campus Monash University Australia Fujian Provincial Key Laboratory of Network Security and Cryptology Fujian Normal University Fuzhou Fujian China

ISBN: (纸本)9781509032068

A Searchable Symmetric Encryption (SSE) scheme allows a server to search a user's data without having to decrypt the data. This provides the user with a high degree of privacy and is particularly useful when data is stored on Cloud. Numerous SSE schemes have already been proposed and while most have excellent security properties, few meet high performance requirements and most only support searching for a single keyword at a time. The SSE scheme of Cash et al. (CRYPTO 2013) is notable for its high efficiency on restricted forms of Boolean queries, but has low efficiency for, or does not support, other common forms of boolean queries. In this paper, we propose a generalization and optimization of the Cash et al. SSE scheme, which extends to support a much larger class of Boolean queries, and performs no worse, and often with much higher efficiency than the Cash et al. scheme for the remaining queries.

关键词： Servers Indexes Encryption Complexity theory

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FE-brick: Re-definition and re-design of fe model in next-generation router architecture

FE-brick: Re-definition and re-design of fe model in next-ge...

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作者： Gao, Xianming Wang, Baosheng Wang, Xu An Zhang, Xiaozhe School of Computer National University of Defense Technology Changsha410073 China Key Laboratory of Network and Information Security Engineering University of CAPF Xi'an710086 China

In traditional router, it usually consists of forwarding element (FE) and control element (CE). However, there is a tight coupling between FE model and logical functions, thus restricting service innovation and user customized ability. In this context, we explore the insightful prospect of functional integration between logical function-based FE model and strategy-driven FE model to propose a new FE model. In this paper, we firstly propose an idea of FE-Brick model for next-generation router architecture, which includes two types of elements: logical function-based FE (LFFE) and strategy-driven FE (SFE). LFFE is a collection of logical functions, which is the same as FE model in traditional routers;and SFE uses flow-strategy to determine forwarding behavior of each packet. FE model can be regarded as a cluster of SFEs and LFFEs, where these elements are optionally interconnected in the similar way as the "building block" game. At last, we establish two demos on FE-Brick model and further evaluate their performance. © 2015 World Scientific Publishing Company.

关键词： Brick

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Design and Implementation of Library Books Search and Management System Using RFID Technology

Design and Implementation of Library Books Search and Manage...

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International Conference on Intelligent networking and Collaborative Systems (INCOS)

作者： Haiming Cheng Ling Huang He Xu Yifan Hu Xu An Wang School of Computer Science and Technology Nanjing University of Posts and Telecommunications Nanjing China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks College of Internet of Things Nanjing University of Posts and Telecommunications Nanjing China Key Laboratory of Information and Network Security Engineering University of Chinese Armed Police Force Xi'an China

Radio Frequency Identification technology (RFID) is the key technology to realize the Internet of things. Currently, using RFID to locate objects indoor is a hot topic in the research on the application of RFID. In this paper, we propose an RFID system based on RFID technology and Wi-Fi wireless communication technology. And we design a corresponding handheld device client software to realize a visual book search and management system. This system can not only greatly improve the efficiency of book search and management but also save the manpower and material resources to a large extent, which has a practical application value.

关键词： Collaboration

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Bidirectional analysis method of static XSS defect detection technique based on database query language 19th

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19th International Conference on Transactions on Computational Collective Intelligence, TCCI 2015

作者： Cui, Baojiang Hou, Tingting Long, Baolian Xu, Lingling National Engineering Laboratory for Mobile Network Security Beijing China School of Computer Science Beijing University of Posts and Telecommunications Beijing China Department of Computer Science South China University of Technology Guangzhou China

ISBN: (纸本)9783662490167

Along with the wide use of web application, XSS vulnerability has become one of the most common security problems and caused many serious losses. In this paper, on the basis of database query language technique, we put forward a static analysis method of XSS defect detection of Java web application by analyzing data flow reversely. This method first converts the JSP file to a Servlet file, and then uses the mock test method to generate calls for all Java code automatically for comprehensive analysis. We get the methods where XSS security defect may occur by big data analysis. Originated from the methods where XSS security defect may occur, we analyze the data flow and program semantic reversely to detect XSS defect by judging whether it can be introduced by user input without filter. Moreover, to trace the taint path and to improve the analysis precision, we put forward bidirectional analysis. Originated from the results of the reverse analysis, we analyze the data flow forward to trace the taint path. These two methods have effectively reduced analyzing tasks which are necessary in forward ways. It was proved by experiments on some open source Java web projects, bidirectional and reverse methods not only improved the efficiency of detection, but also improved the detection accuracy for XSS defect. © Springer-Verlag Berlin Heidelberg 2015.

关键词： Static analysis

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QoS-aware user satisfaction oriented joint resource block and power allocation in OFDMA systems with cloud based information sharing 16

QoS-aware user satisfaction oriented joint resource block an...

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16th IEEE International Conference on Communication Technology, ICCT 2015

作者： Li, Aini Sun, Yan Xu, Xiaodong Yang, Xu Queen Mary University of London Electronic Engineering and Computer Science London United Kingdom Beijing University of Posts and Telecommunications National Engineering Laboratory for Mobile Network Security Beijing100876 China China

ISBN: (纸本)9781467370042

OFDMA is a suitable technique for delivering high data rate services and one of the most important technologies applied in LTE and 5G wireless networks. In OFDMA systems, dynamic resource block (RB) allocation considering QoS requirements is gaining widespread acceptance. However, along with the development of 5G and beyond 5G networks, how to efficiently allocate resource to satisfy various QoS requirements remains as a critical issue. In this paper, a QoS-aware user satisfaction oriented joint resource block and power allocation algorithm is proposed for an OFDMA multi-cell system. The objective is to optimize user satisfaction over the entire network by maximizing the number of qualified users whose QoS target is met with minimal power and bandwidth consumption. A two-dimensional power-and-RB strategy and cloud based information sharing are utilized to mitigate the inter-cell co-channel interference in order to increase the qualified user ratio. Simulation results show that the proposed algorithm significantly outperforms conventional schemes in terms of satisfying users' QoS requirements and system throughput utility. © 2015 IEEE.

关键词： 5G mobile communication systems

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A survey of network traffic generation 3

A survey of network traffic generation

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3rd International Conference on Cyberspace Technology, CCT 2015

作者： Zhang, Junhui Tang, Jiqiang Zhang, Xu Ouyang, Wen Wang, Dongbin Beijing University of Posts and Telecommunications Beijing100876 China National Computer Network Emergency Response Coordination Centre Beijing100029 China National Engineering Laboratory for Mobile Network Security Beijing University of Posts and Telecommunications China

ISBN: (纸本)9781785610899

network traffic generation is very important for testing network equipment, network services, and security products. The paper firstly introduces the significance and the classification of network traffic generation. Then, the paper chronologically categorizes the research activities of network traffic generation into three different methods: 1) traffic generation based on network traffic model;2) traffic generation based on traffic characteristics;3) traffic generation based on application protocol. Thorough reviews of the major research achievements of each kinds are conducted. Finally, the paper identifies some open research issue and points out possible future research directions in traffic generation area.

关键词： Internet protocols

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