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2008 IEEE International Conference on System of systems engineering, SoSE 2008 2008年

作者： Rubin, Stuart H. Lee, Gordon Pedrycz, Witold Spawar, Shu-Ching Chen Systems Center 53560 Hull Street San Diego CA 92152 United States Dept. of Electrical and Computer Engineering San Diego State University 5500 Campanile Drive San Diego CA 92182 United States Dept of Electrical and Computer Engineering University of Alberta Edmonton AB T6G 2R3 Canada School of Computing and Information Sciences Florida Int'l University 11200 SW 8th St ECS 362 Miami FL 33199 United States

ISBN: (纸本)9781424421732

While much research has been devoted to learning and machine intelligence, the field is still in its infancy. In particular, a technology that will allow for heuristic exploitation of information domain regularities to reduce the time required for knowledge acquisition while concomitantly resulting in an increase in the reliability of the acquired knowledge is still lacking. Unfortunately, contemporary learning mechanisms such as neural network architectures are inherently incapable of such performance. The objective of this paper is to present a new way of looking at learning and machine intelligence which has applicability in many fields such as in robotics, intelligent agents, data fusion, and cooperative sensing. In particular, we propose to construct a new architecture, that is, a transformational architecture for learning, intelligent fusion and transference of knowledge. A System of systems (SoS) approach is used to realize machine intelligence. Random differences are learned by the system, generalized, and made available for subsequent replay in design transformations. Cross-domain symmetries can play a major role in design generation in particular and in the design of SoSs in general. The fundamental theory of randomization is the science, which underpins the practice. This strategy is employed in the design of the Knowledge Amplification by Structural Expert Randomization or KASER system. © 2008 IEEE.

关键词： Expert systems

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A practical proxy device for protecting RFID tag's identifier

A practical proxy device for protecting RFID tag's identifie...

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2007 ECSIS Symposium on Bio-inspired, Learning, and Intelligent systems for security, BLISS 2007

作者： Yeo, Sang-Soo Sakurai, Kouichi Kwak, Jin Dept. of Computer Science and Communication Engineering Kyushu University Fukuoka Japan Dept. of Information Security Engineering Soonchunhyang University Asan-si Korea Republic of

ISBN: (纸本)0769529194

RFID, Radio Frequency Identification, is an emerging technology in the world of automatic identification. It uses RF signal for gathering information of tags, which can be attached or embedded to goods such as consumer electronics, items in supermarkets, automobile's parts. It may make our life more comfortable and more ubiquitous, but it may make us, on the other hand, more nervous. This is because that there are some privacy problems in RFID system. More comfortable automatic identifications would lead to more disclosure of our private life. This reason rushed many researches results related to security and privacy in RFID system. However, we cannot choose anything among them for applying to the current RFID system. Most of them require either of high-cost hardware specification or giving up potential convenience of consumers. In this paper, we propose a simple privacy protection scheme that can be used for the current existing RFID system such as ISO 18000-6 type C. We modify this standard tag identification protocol slightly and introduce a light-weight proxy device for privacy enhancing. © 2007 IEEE.

关键词： Data privacy

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Privacy-preserving two-party K-means clustering via secure approximation

Privacy-preserving two-party K-means clustering via secure a...

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21st International Conference on Advanced information networking and ApplicationsWorkshops/Symposia, AINAW'07

作者： Su, Chunhua Bao, Feng Zhou, Jianying Takagi, Tsuyoshi Sakurai, Kouichi Dept. of Computer Science and Communication Engineering Kyushu University Japan Systems and Security Department Institute for Infocomm. Research Singapore Singapore School of Systems Information Science Future University-Hakodate Japan

ISBN: (纸本)0769528473

K-means clustering is a powerful and frequently used technique in data mining. However, privacy breaching is a serious problem if the k-means clustering is used without any security treatment, while privacy is a real concern in many practical applications. Recently, four privacypreserving solutions based on cryptography have been proposed by different researchers. Unfortunately none of these four schemes can achieve both security and completeness with good efficiency. In this paper, we present a new scheme to overcome the problems occurred previously. Our scheme deals with data standardization in order to make the result more reasonable. We show that our scheme is secure and complete with good efficiency. © 2007 IEEE.

关键词： security of data

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Improvements in SCADA and DCS systems security

Improvements in SCADA and DCS systems security

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22nd International Conference on computers and Their Applications 2007, CATA 2007

作者： Graham, James H. Mostafa, Mostafa S. Arazi, Benjamin Tantawy, Ashraf Hieb, Jeffrey Ralston, Patricia Patel, Sandip C. Computer Engineering and Computer Science Dept. Intelligent Systems Research Laboratory University of Louisville Louisville KY 40292 United States Dept. of Computer Science Western Kentucky University Bowling Green KY United States Dept. of Chemical Engineering University of Louisville Louisville KY United States Dept. of Information Science and Systems Morgan State University Baltimore MD United States

ISBN: (纸本)9781604237559

Supervisory control and data acquisition (SCADA) systems monitor, regulate, gather information from, and control the computer field units that control much of our industrial and utility infrastructure. Distributed Control systems (DCS) is a broader term used in the chemical and process industries, and includes systems implemented with SCADA networks as their backbone. security was not a high priority in the design of much of this equipment because it used obscure protocols and relatively secure, dedicated, communications links. This has all changed in recent years as many SCADA and DCS systems are now accessible, either deliberately or through system design flaws, through the public Internet. In this paper a new approach to the issue of intrusion detection and prevention in DCS and SCADA has been developed. Here, the cyber vulnerabilities specifically applicable to the control of chemical plants are directly addressed, rather than adopting in this environment generic solutions. Abnormal behavior signatures are directly associated with adaptive traffic matrix deviations. Spatial and temporal correlation techniques are then applied to enhance intrusion detection. This paper also discusses an experimental test-bed for generating attack data for a wide variety of SCADA and DCS configurations. Copyright © 2007 by the International Society for computers and Their Applications (ISCA).

关键词： Intrusion detection

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A distributed information retrieval method in peer-to-peer network

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Journal of Harbin Institute of Technology(New Series) 2007年第6期14卷 846-849页

作者：刘飞邹福泰马范援李明禄 Dept. of Computer Science and Engineering Shanghai Jiaotong University School of Information Security Engineering Shanghai Jiaotong University

To avoid the scalability of the existing systems that employed centralized indexing,index flooding or query flooding,we proposed an efficient peer-to-peer information retrieval system SPIRS (Semantic P2P-based information Retrieval System) that supported state-of-the-art content and semantic searches. SPIRS distributes document indices through P2P network hierarchically by Latent Semantic Indexing (LSI) and organizes nodes into a hierarchical overlay through CAN and TRIE. Comparing with other P2P search techniques,those based on simple keyword matching,SPIRS has better accuracy for considering the advanced relevance among documents. Given a query,only a small number of nodes are needed for SPIRS to identify the matching documents. Furthermore,both theoretical analysis and experimental results show that SPIRS possesses higher accuracy and less logic hops.

关键词： peer-to-peer information retrieval latent semantic indexing TRIE semantic vector

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Cost-balancing tolls for atomic network congestion games

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3rd International Workshop on Internet and network Economics, WINE 2007

作者： Fotakis, Dimitris Spirakis, Paul G. Dept. of Information and Communication Systems Engineering University of the Aegean 83200 Samos Greece Research Academic Computer Technology Institute N. Kazantzaki Str. Rion 26500 Patras Greece

ISBN: (纸本)9783540771043

We investigate the existence of optimal tolls for atomic symmetric network congestion games with unsplittable traffic and arbitrary non-negative and non-decreasing latency functions. We focus on pure Nash equilibria and a natural toll mechanism, which we call cost-balancing tolls. A set of cost-balancing tolls turns every path with positive traffic on its edges into a minimum cost path. Hence any given configuration is induced as a pure Nash equilibrium of the modified game with the corresponding cost-balancing tolls. We show how to compute in linear time a set of cost-balancing tolls for the optimal solution such that the total amount of tolls paid by any player in any pure Nash equilibrium of the modified game does not exceed the latency on the maximum latency path in the optimal solution. Our main result is that for congestion games on series-parallel networks with increasing latencies, the optimal solution is induced as the unique pure Nash equilibrium of the game with the corresponding cost-balancing tolls. To the best of our knowledge, only linear congestion games on parallel links were known to admit optimal tolls prior to this work. To demonstrate the difficulty of computing a better set of optimal tolls, we show that even for 2-player linear congestion games on series-parallel networks, it is NP-hard to decide whether the optimal solution is the unique pure Nash equilibrium or there is another equilibrium of total cost at least 6/5 times the optimal cost. © Springer-Verlag Berlin Heidelberg 2007.

关键词： Game theory

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E-mail Clustering Based on Profile and Multi-attribute Values

E-mail Clustering Based on Profile and Multi-attribute Value...

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International Conference on Advanced Language Processing and Web information Technology (ALPIT)

作者： Samuel Sangkon Lee Masami Shishibori Kazuaki Ando Dept. of Computer Science and Engineering Jeonju University Wansan Gu Chonbuk Jeonju Republic of Korea Dept. of Information Science and Intelligent Systems Tokushima University Tokushima Japan Dept. of Reliability-based Information Systems Engineering Kagawa University Kagawa Japan

ISBN: (纸本)9780769529301;0769529305

Although modern day people gather many data from the network, the users want only the information needed. Using this technology, the users can extract on the data that satisfy the query. As the previous studies use the single data in the document, frequency of the data for example, it cannot be considered as the effective data clustering method. What is needed is the effective clustering technology that can process the electronic network documents such as the e-mail or XML that contain the tags of various formats. This paper describes the study of extracting the information from the user query based on the multi-attributes. It proposes a method of extracting the data such as the sender, text type, time limit syntax in the text, and title from the e-mail and using such data for filtering. It also describes the experiment to verify that the multi-attribute based clustering method is more accurate than the existing clustering methods using only the word frequency.

关键词： Electronic mail Data mining Clustering methods Chapters Frequency XML information filtering information filters Search engines information technology

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Integration of school mapping modelling for an Educational Decision Support System: Jordan case study

Modelling, Measurement and Control C

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Modelling, Measurement and Control C 2007年第3-4期68卷 13-34页

作者： Al-Hanbali, N. Al-Kharouf, R. Al-Zoubi, M.B. Surveying and Geomatics Engineering Dept. Al-Balqa Applied University Salt Jordan GIS Section Decision support Dept. and Planning Ministry of Education Amman Jordan Computer Information Systems Dept. University of Jordan Amman Jordan

Building a suitable GIS data-model for school mapping planning is an evolving trend in education, where all schools linked with attribute data will be available for problem solving and decision-making in Education. Thus, the end product of the GIS will be part of an Educational Decision Support System (EDSS) that provides the user with a map of a specific region with focus on the schools, locations and all related info to assist decision-makers in either expanding the current school or suggesting sites for new schools in Jordan, as well as, for student and resources location/allocation. A transportation network is also integrated into the GIS data-model. The paper reviews the GIS-data-model format, the management of the geospatial database and aspects utilizing satellite geo-imagery so that a high level of tractability and integrity are offered. Summary of the spatial analysis uses of the model are given in addition to an outlook of expected future uses as an EDSS for planning purposes. The paper concludes with the future trend to build a Web-mapping site to be available for various school mapping applications to reinforce decentralization implementations.

关键词： Decision support systems

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Distributed information retrieval method in peer-to-peer network

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Journal of Harbin Institute of Technology (New Series) 2007年第6期14卷 846-849页

作者： Liu, Fei Zou, Fu-Tai Ma, Fan-Yuan Li, Ming-Lu Dept. of Computer Science and Engineering Shanghai Jiaotong University Shanghai 200030 China School of Information Security Engineering Shanghai Jiaotong University Shanghai 200030 China

To avoid the scalability of the existing systems that employed centralized indexing, index flooding or query flooding, we proposed an efficient peer-to-peer information retrieval system SPIRS (Semantic P2P-based information Retrieval System) that supported state-of-the-art content and semantic searches. SPIRS distributes document indices through P2P network hierarchically by Latent Semantic Indexing (LSI) and organizes nodes into a hierarchical overlay through CAN and TRIE. Comparing with other P2P search techniques, those based on simple keyword matching, SPIRS has better accuracy for considering the advanced relevance among documents. Given a query, only a small number of nodes are needed for SPIRS to identify the matching documents. Furthermore, both theoretical analysis and experimental results show that SPIRS possesses higher accuracy and less logic hops.

关键词： information retrieval

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Experiments of E-Mail Filtering Method Based on Sender, Sentence Type, Existence of Time Expression, and Subject of Mail Contents

Experiments of E-Mail Filtering Method Based on Sender, Sent...

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IEEE International Conference on Natural Language Processing and Knowledge engineering (NLP-KE)

作者： Samuel Sangkon Lee Masami Shishibori Kazuaki Ando Dept. of Computer Science and Engineering Jeonju University Jeonju Chonbuk Wansan Gu Republic of Korea Department of Reliability-based Information Systems Engineering Faculty of Engineering Kagawa University Takamatsu Kagawa Japan Dept. of Information Science and Intelligent Systems Tokushima University Tokushima Japan Department of Information Science and Intel-light Systems University of Tokushima Tokushima Japan Dept. of Reliability-based Information Systems Engineering Kagawa University Kagawa Japan

Filtering is a method of attaining only the wanted data and blocking the unwanted ones. Using this technology, the users can extract on the data that satisfy the query. As the previous studies use the single data, frequency of the data for example, it cannot be considered as the effective filtering method. What is needed is the effective technology that can process the electronic network documents such as the e-mail that contain the tags of various formats. This paper describes the study of extracting the information from the user query based on multi-attributes. It proposes a method of extracting the data such as the sender, text type, time limit syntax in the text, and title from the e-mail. It also describes the experiment to verify that multi-attribute based filtering method is more accurate than the existing filtering method.

关键词： Electronic mail Postal services Data mining computer network reliability Reliability engineering Frequency information filtering information filters Search engines computer science

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