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A RFID data-cleaning algorithm based on communication information among RFID readers

International Journal of u- and e- Service, Science and Technology 2015年第1期8卷 155-164页

作者： Gu, Yunhua Gao, Bao Wang, Jin Yin, Mingshu Zhang, Junyong Jiangsu Engineering Center of Network Monitoring School of Computer and Software Nanjing University of Information Science and Technology Nanjing China

For the insufficient of existing algorithms of redundant-reader elimination, the paper proposes a data-cleaning algorithm based on communication information among readers. This algorithm is no longer dependent on the tag to send information between the RFID readers, but to transmit information directly through communication information among the readers to determine which reader the tag belongs to and whether the reader is redundant or not. This paper does a lot of experiments to verify the effectiveness of the algorithm. © 2015 SERSC.

关键词： Cleaning

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Semantics-based text copy detection method supporting similarity ranking

Semantics-based text copy detection method supporting simila...

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第十二届全国信息隐藏暨多媒体信息安全学术大会

作者： FU Zhangjie SUN Xingming ZHOU Lu HUANG Fengxiao School of Computer and Software & Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing 210044

Text document is the most widely used medium on the ***, there are some emerging problems that cannot be neglected, such as plagiarism, reproduction of information content, illicit redistribution, and copyright disputes *** plagiarists have become more and more "clever",they could rewrite the contents by using synonym substitution, syntactic variation and other *** traditional copy detection methods that use precise matching or similar string matching algorithms cannot apply to the circumstance of semantics-based copy *** meet the challenge of supporting semantics-based copy detection, for the first time this paper proposes a semantics-based copy detection method supporting similarity *** scores between the suspicious text and each text from corpus are calculated using our proposed similarity calculation *** last,top-k texts from corpus, which have high similarity scores with the suspicious text, are ranked and listed in descending order of the *** on the real-world dataset further show that our proposed solution is very efficient and effective in supporting semantics-based copy detection.

关键词： Plagiarism Semantics-based copy detection Semantics similarity Plain text keyword extraction

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Short text classification algorithm based on semi-supervised learning and SVM

International Journal of Multimedia and Ubiquitous Engineeri...

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International Journal of Multimedia and Ubiquitous engineering 2015年第12期10卷 195-206页

作者： Yin, Chunyong Xiang, Jun Zhang, Hui Yin, Zhichao Wang, Jin Jiangsu Key Laboratory of Meteorological Observation and Information Processing School of Computer and Software Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing China Nanjing No.1 Middle School NanjingJiangsu China

Short text is a popular text form, which is widely used in real-time network news, short commentary, micro-blog and many other fields. With the development of the application such as QQ, mobile phone text messages and movie websites, the size of data is also becoming larger and larger. Most data is useless for us while other data is significant for us. Therefore, it is necessary for us to extract the useful short text from the big data. However, there are many problems with the short text classification, such as fewer features, irregularity and so on. To solve these problems, we should pretreat the short text set first, and then choose the significant features. This paper use semi-supervised learning method and SVM classifier to improve the traditional methods and it can classify a large number of short texts to mining the useful massage from the short text. The experimental results in this paper also show a good promotion. © 2015 SERSC.

关键词： Supervised learning

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A feature selection algorithm towards efficient intrusion detection

International Journal of Multimedia and Ubiquitous Engineeri...

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International Journal of Multimedia and Ubiquitous engineering 2015年第11期10卷 253-264页

作者： Yin, Chunyong Ma, Luyu Feng, Lu Yin, Zhichao Wang, Jin School of Computer and Software Jiangsu Key Laboratory of Meteorological Observation and Information Processing Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing China Nanjing No.1 Middle School Nanjing China

Feature selection algorithm plays a crucial role in intrusion detection, data mining and pattern recognition. According to some evaluation criteria, it gets optimal feature subset by deleting unrelated and redundant features of the original data set. Aiming at solving the problems about the low accuracy, the high false positive rate and the long detection time of the existing feature selection algorithm. In this paper, we come up with a feature selection algorithm towards efficient intrusion detection, this algorithm combines the correlation algorithm and redundancy algorithm to chooses the optimal feature subset. Experimental results show that the algorithm shows almost and even better than the traditional feature selection algorithm on the different classifiers. © 2015 SERSC.

关键词： Redundancy

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Efficient and secure multi-keyword ranked search over encrypted office open XML data

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Journal of Computational Information Systems 2015年第7期11卷 2701-2708页

作者： Xi, Jie Sun, Xingming Fu, Zhangjie Zhang, Youdong Xin, Lin Cao, Xinyue School of Computer & Software Nanjing University of Information Science & Technology Nanjing China Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science & Technology Nanjing China Department of Computer Engineering Huaiyin Institute of Technology Huaian China

As cloud computing goes increasingly mature, searchable encryption schemes have been widely applied to the real world. Those not only provide high efficiency but also protect users' privacy well. However, the existing schemes mainly study plain text documents without any format information. In this paper, for the first time, we study and propose a secure and efficient multi-keyword search scheme over encrypted Office Open XML data (OOXML) documents. Specifically, a keyword red-black (KRB) tree is improved to adapt to format attribute-based keywords search. By recording format attribute (FA) of keywords, the returned results conform to users' search purpose well and own high relevancy. Extensive experiments on real-world dataset demonstrate the effectiveness of our scheme. ©, 2015, Binary Information Press. All right reserved.

关键词： Cryptography

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An Improved Transmission Control Protocol Effect on Router Performance

An Improved Transmission Control Protocol Effect on Router P...

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International Conference on Computational Intelligence Theory, Systems and Applications (CCITSA)

作者： Chunyong Yin Ardalan Husin Jin Wang School of Computer and Software Nanjing University of Information Science & Technology Nanjing China Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science & Technology Nanjing China

The Transmission Control Protocol (TCP) is expected for use as a very secure host-to-host protocol linking hosts in packet-switched computer transmission networks, and in interconnected frameworks of such networks. computer communication systems are playing an increasingly important role in the military, government, and civilian environments. TCP gives a reliable data transfer service by receiving an acknowledgement from the target while transferring any segment from the source TCP is applied for both mass data transfer and interactive data applications. TCP is the primary transportation protocol in use inside maximum IP networks and helps the transfer of upper 90 percent of whole traffic across the public Internet now. Granted this principal role for TCP, the execution of this protocol forms a vital part of the entire picture of service performance for IP networks. So we improved TCP performance by reducing the number of acknowledgement (ACK) for each sending packet from the source to the destination machine, and it can help a router performance.

关键词： Receivers Routing protocols Data transfer Internet Bandwidth Performance evaluation

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The performance research of artificial bee colony algorithm on the large scale global optimisation problems

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International Journal of Wireless and Mobile Computing 2015年第3期9卷 300-305页

作者： Xue, Yu Jiang, Jiongming Ma, Tinghuai Li, Chi School of Computer and Software Nanjing University of Information Science and Technology Nanjing210044 China Jiangsu Engineering Center of Network Monitoring Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology Nanjing University of Information Science and Technology Nanjing210044 China

Swarm intelligent optimisation algorithms have been researched widely in recent years. Artificial Bee Colony (ABC) algorithm is a kind of swarm intelligent algorithm with briefness and efficiency for global optimisation problems. This paper focuses on the performance of ABC algorithm on the large-scale global optimisation problems. The algorithm has been tested on 12 benchmark functions from relevant literature. The experiment results of ABC algorithm on the large-scale global optimisation problems have been shown in this paper. The experiment results indicated that as the dimensions of the test functions increase, the performance of ABC on most test problems deteriorates gradually. © 2015 Inderscience Enterprises Ltd.

关键词： Global optimization

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Partial encryption of color image using quaternion discrete cosine transform

International Journal of Signal Processing, Image Processing...

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International Journal of Signal Processing, Image Processing and Pattern Recognition 2015年第10期8卷 171-190页

作者： Fan, Jing Wang, Jinwei Sun, Xingming Li, Ting Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing China School of Computer and Software Nanjing University of Information Science and Technology Nanjing China

In this paper, the quaternion discrete Cosine transform (QDCT) is applied to the color image encryption technology, and partial encryption technique of color image based on QDCT is proposed. Obtained the QDCT spectrum of color image by QDCT, the real and imaginary parts of QDCT coefficients are quantized and encoded with the color image quantization coefficient table and QDCT coefficients encoding method, and part of low and high frequency coefficients are encrypted in the encoding process. Simulation results and security performance analysis shows that the proposed scheme can obtain the effect of secure image encryption, reduce the amount of encryption data and transmission data, and well distribute the pixels of the original image when only part of the data are encrypted. What’s more, the proposed scheme can decrypt and recover the original image with high quality. Due to the large key space, the proposed scheme can resist exhaustive attacks. © 2015 SERSC.

关键词： Discrete cosine transforms

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A feature selection algorithm based on Hoeffding inequality and mutual information

International Journal of Signal Processing, Image Processing...

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International Journal of Signal Processing, Image Processing and Pattern Recognition 2015年第11期8卷 433-444页

作者： Yin, Chunyong Feng, Lu Ma, Luyu Yin, Zhichao Wang, Jin School of Computer and Software Jiangsu Key Laboratory of Meteorological Observation and Information Processing Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing China Nanjing No.1 Middle School Nanjing China

With the rapid development of the Internet, the application of data mining in the Internet is becoming more and more extensive. However, the data source’s complex feature redundancy leads that data mining process becomes very inefficient and complex. So feature selection research is essential to make data mining more efficient and simple. In this paper, we propose a new way to measure the correlation degree of internal features of dataset which is a mutation of mutual information. Additionally we also introduce Hoeffding inequality as constraint of constructing algorithm. During the experiments, we use C4.5 classification algorithm as test algorithm and compare HSF with BIF(feature selection algorithm based on mutual information). Experiments results show that HSF performances better than BIF[1] in TP and FP rate, what’s more the feature subset obtained by HSF can significantly improve the TP, FP and memory usage of C4.5 classification algorithm. © 2015 SERSC.

关键词： Feature Selection

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Erratum to: Fingerprint liveness detection using gradient-based texture features

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Signal, Image and Video Processing 2016年第2期11卷 389-389页

作者： Xia, Zhihua Lv, Rui Zhu, Yafeng Ji, Peng Sun, Huiyu Shi, Yun-Qing Jiangsu Engineering Center of Network Monitoring Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology College of Computer and Software Nanjing University of Information Science and Technology Nanjing China Department of Computer Science New York University New York USA Department of Electrical and Computer Engineering New Jersey Institute of Technology New York USA

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