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Enhance information Flow Tracking with Function Recognition

China Communications 2010年第6期7卷 24-29页

作者： Zhou Kan Huang Shiqiu Huang Shan Qi Zhengwei Gu Jian Guan Haibing School of software Shanghai Jliao Tong University Shanghai 200240 P. R. China Key Lab of Information Network Security Ministry of Public Security Department of Computer Science ＆ Engineering Shanghai Jiao Tong University Shanghai 200240 P. R China Shanghai Key Laboratory of Scalable Computing ＆ System Shanghai P. R. China

With the spread use of the computers, a new crime space and method are presented for criminals. Thus computer evidence plays a key part in criminal cases. Traditional computer evidence searches require that the computer specialists know what is stored in the given computer. Binary-based information flow tracking which concerns the changes of control flow is an effective way to analyze the behavior of a program. The existing systems ignore the modifications of the data flow, which may be also a malicious behavior. Thus the function recognition is introduced to improve the information flow tracking. Function recognition is a helpful technique recognizing the function body from the software binary to analyze the binary code. And that no false positive and no false negative in our experiments strongly proves that our approach is effective.

关键词： function recognition information flow tracking program behavior e-evidence.

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pService: Towards similarity search on peer-to-peer web services discovery

pService: Towards similarity search on peer-to-peer web serv...

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1st International Conference on Advances in P2P systems, AP2PS 2009

作者： Zhou, Gang Yu, Jianjun National Digital Switching System Engineering and Technological Research Center 450002 France State Key Lab. of Software Development Environment Beihang University 100191 China Computer Network Information Center Chinese Academy of Sciences 100190 China

ISBN: (纸本)9780769538310

We present the design of pService system for P2P Web services discovery supporting similarity earch with its locality-preserving feature based on modified Skip Graph. In pService, the most important property (e.g. service name) of a service is viewed as the indexing key of a peer node. The other properties are extracted as multiattributes which would be mapped into one-dimensional indices using HSFC (Hilbert Space Filling Curve), and assigned to membership vector of the peer node. These two features help to support similarity search in two aspects: peer nodes with similar indexing keys would be distributed neighborly, peer nodes with similar indices will connect to each other through routing table. Our evaluation showed that the pService performs considerable Web services discovery efficiency. © 2009 IEEE.

关键词： Web services

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Preface of the 2010 IAENG International Conference on Electrical engineering special session: Design, analysis and tools for integrated circuits and systems

Proceedings of the International MultiConference of Engineer...

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Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010 2010年 1333-1335页

作者： Man, Ka Lok Mercaldi, Michele Hahanov, Vladimir Prinetto, Paolo Poncino, Massimo MacIi, Alberto Choi, Joongho Li, Wei Schellekens, Michel Popovici, Emanuel Seon, Jong-Kug Rossi, Umberto Fummi, Franco Pravadelli, Graziano Lam, Yui Fai PavLov, Vladimir Patel, Ajay Huang, Jinfeng Vallee, Thierry Boubekeur, Menouer Sokolova, Ana Almerares, Sergio Donno, Monica Cho, Jun-Dong Zahirul Alam, A.H.M. Provan, Gregory Velev, Miroslav N. Uddin, M. Nasir Botchkarev, Alexei Bosnacki, Dragan Hickey, Dave O'Keeffe, Maria Krilavičius, Tomas Pastrnak, Milan Herbert, John Lu, Zhe-Ming Pan, Jeng-Shyang Chang, Chin-Chen Horng, Mong-Fong Chen, Liang Lim, Chee-Peng Tao, Ngo Quoc Deb, Suash Merniz, Salah Valero, Oscar Yi, Yang Woods, Damien Vedrine, Franck Monsuez, Bruno Yen, Kang Matsuura, Takenobu Edwards, R. Timothy Tveretina, Olga Fino, Maria Helena O'Riordan, Adrian Patrick labiak, Grzegorz Gaur, M.S. Chang, Jian Chung, Yeh-Ching Derezinska, Anna Cho, Kyoung-Rok Zhang, Yong Liutkevičius, R. Zeng, Yuanyuan Vasudevan, D.P. Bukowiec, Arkadiusz Kitsos, Paris Goudarzi, Maziar Dong, Jin Song Bhalla, Ateet Al-Khalili, Dhamin Navabi, Zainalabedin Zinchenko, Lyudmila Anjum, Muhammad Almas Narasimha, Deepak Laxmi Hughes, Danny Tadjouddine, Emmanuel M. Wang, Jun Kumar, A.P. Sathish Jaisankar, N. Mansoor, Atif Hollands, Steven Mohammadi, Siamak Klein, Felipe Westermann, Peter English, Tom Planas, Miquel Moreto Chung, Chelho Chakrabarti, Amlan Lei, Chi-Un Bamakhrama, Mohamed Naik, B. Rajendra Harte, Sean Yin, Alexander Giancardi, Luigi El-Din Mady, Alie Joseph, Arun Khandekar, Prasad D. Pandey, Hari Mohan Bharti, Vishal O'Mullane, Monica Chen, Chen Xi'an Jiaotong University China Liverpool University United Kingdom Kharkov National University of Radio Electronics Ukraine Politecnico di Torino Italy University of Seoul Korea Republic of Fudan University China Tyndall University College Cork Ireland System LSI Lab. LS Industrial Systems R and D Center Korea Republic of STMicroelectronics Italy University of Verona Italy Hong Kong University of Science and Technology Hong Kong Hong Kong International Software and Productivity Engineering Institute United States Intelligent Support Ltd. United Kingdom Philips and LiteOn Digital Solutions Netherlands Netherlands Georgia Southern University Statesboro GA United States University of Salzburg Austria Sung Kyun Kwan University Korea Republic of International Islamic University Malaysia Malaysia Aries Design Automation United States Lakehead University Canada IEEE Canada Board of Directors Canada Eindhoven University of Technology Netherlands Vytautas Magnus University Lithuania Siemens IT Solutions and Services Slovakia Sun Yat-Sen University China National Kaohsiung University of Applied Sciences Taiwan Feng Chia University Taiwan Shu-Te University Taiwan University of Northern British Columbia Canada University of South Australia Australia Vietnamese Academy of Science and Technology Viet Nam C. V. Raman College of Engineering India Mentouri University Constantine Algeria University of Balearic Islands Spain University of Seville Spain CEA France ENSTA France Florida International University United States Tokai University Japan MultiGiG Inc. United States Karlsruhe University Germany Universidade Nova de Lisboa Portugal University of Zielona Gora Poland Malaviya National Institute of Technology Jaipur India Texas Instruments Inc. United States National Tsing-Hua University Taiwan Warsaw University of Technology Poland Chungbuk National University Korea Republic of Shenzhen University China Vytautas Magnus University Kaunas Lithuania Hellenic Open Univ

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DATICS-2010: Welcome message from workshop organizers: FutureTech 2010

2010 5th International Conference on Future Information Tech...

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2010 5th International Conference on Future information Technology, FutureTech 2010 - Proceedings 2010年

作者： Man, Ka Lok Mercaldi, Michele Hahanov, Vladimir Prinetto, Paolo Poncino, Massimo MacIi, Alberto Choi, Joongho Li, Wei Schellekens, Michel Popovici, Emanuel Seon, Jong-Kug Rossi, Umberto Fummi, Franco Pravadelli, Graziano Lam, Yui Fai PavLov, Vladimir Patel, Ajay Huang, Jinfeng Vallee, Thierry Boubekeur, Menouer Sokolova, Ana Almerares, Sergio Donno, Monica Cho, Jun-Dong Alam, Ahm Zahirul Provan, Gregory Velev, Miroslav N. Nasir Uddin, M. Botchkarev, Alexei Bosnacki, Dragan Hickey, Dave O'Keeffe, Maria Krilavičius, Tomas Pastrnak, Milan Herbert, John Lu, Zhe-Ming Pan, Jeng-Shyang Chang, Chin-Chen Horng, Mong-Fong Chen, Liang Lim, Chee-Peng Tao, Ngo Quoc Deb, Suash Merniz, Salah Valero, Oscar Yi, Yang Woods, Damien Vedrine, Franck Monsuez, Bruno Yen, Kang Matsuura, Takenobu Timothy Edwards, R. Tveretina, Olga Fino, Maria Helena O'Riordan, Adrian Patrick labiak, Grzegorz Gaur, M.S. Chang, Jian Chung, Yeh-Ching Derezinska, Anna Cho, Kyoung-Rok Zhang, Yong Liutkevičius, R. Zeng, Yuanyuan Vasudevan, D.P. Bukowiec, Arkadiusz Kitsos, Paris Goudarzi, Maziar Dong, Jin Song Bhalla, Ateet Al-Khalili, Dhamin Navabi, Zainalabedin Zinchenko, Lyudmila Anjum, Muhammad Almas Narasimha, Deepak Laxmi Hughes, Danny Tadjouddine, Emmanuel M Wang, Jun Kumar, A.P. Sathish Jaisankar, N. Mansoor, Atif Hollands, Steven Mohammadi, Siamak Klein, Felipe Westermann, Peter English, Tom Planas, Miquel Moreto Chung, Chelho Chakrabarti, Amlan Lei, Chi-Un Bamakhrama, Mohamed Naik, B. Rajendra Harte, Sean Yin, Alexander Giancardi, Luigi Mady, Alie El-Din Joseph, Arun Khandekar, Prasad D. Pandey, Hari Mohan Xi'an Jiaotong-Liverpool University China Kharkov National University of Radio Electronics Italy Politecnico di Torino Italy University of Seoul China Fudan University Ireland University College Cork Ireland System LSI Lab. LS Industrial Systems R and D Center Korea Republic of STMicroelectronics Italy University of Verona Hong Kong Hong Kong University of Science and Technology Hong Kong Hong Kong International Software and Productivity Engineering Institute United States Intelligent Support Ltd. United Kingdom Philips and LiteOn Digital Solutions Netherlands Netherlands Georgia Southern University Statesboro GA Austria University of Salzburg Korea Republic of Sung Kyun Kwan University Malaysia International Islamic University Malaysia Malaysia Aries Design Automation United States Lakehead University Canada IEEE Canada Board of Directors Canada Eindhoven University of Technology Lithuania Vytautas Magnus University Greece Siemens IT Solutions and Services Slovakia Sun Yat-Sen University China National Kaohsiung University of Applied Sciences Taiwan Feng Chia University Taiwan Shu-Te University Canada University of Northern British Columbia Australia University of South Australia Viet Nam Vietnamese Academy of Science and Technology Viet Nam C. V. Raman College of Engineering India Mentouri University Constantine Spain University of Balearic Islands Spain University of Seville France CEA France ENSTA France Florida International University Japan Tokai University Japan MultiGiG Inc. United States Karlsruhe University Portugal Universidade Nova de Lisboa Poland University of Zielona Gora India Malaviya National Institute of Technology Jaipur India Texas Instruments Inc United States National Tsing-Hua University Poland Warsaw University of Technology Korea Republic of Chungbuk National University China Shenzhen University Lithuania Vytautas Magnus University Kaunas Greece Hellenic Open University Patras Singapore National University of Singapore Sing

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BD-LZW picture compression algorithm for WSN system

BD-LZW picture compression algorithm for WSN system

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2008 3rd International Conference on Pervasive Computing and Applications, ICPCA08

作者： Jinlan, Zhan Qingguo, Zhou Shuwei, Bai Li, Cuihual Bin, Hu Li, Lian Department of Computer Science Video and Image Processing Lab Xiamen University China Engineering Research Center of Open Source Software and Real-time System Ministry of Education Department of Information Science and Engineering Lanzhou University China Department of Computing University of Central England United Kingdom

ISBN: (纸本)9781424420209

In the paper, a new parallel LZW-Like algorithm, bidirectory LZW algorithm (BD-LZW) will be interpreted The new algorithm can be used in data compression/decompression system which runs on multi-microprocessor system, such as CELL, which the algorithm will be implemented on. Different from the conventional parallel LZW algorithm with one input directory, BD-LZW algorithm allows two threads reading characters from two ends of string. By this method, the data can be partitioned for compression/decompression loading between two threads fairly and easily. The most important is the compression performance can be improved by the new algorithm. Comparing running time, it's lower 10% than conventional parallel LZW (P-LZW) algorithm when there are two threads running on CELL architecture. © 2008 IEEE.

关键词： Compression algorithms Wireless sensor networks Yarn Partitioning algorithms Image coding Data compression Video compression Image processing Computer science Open source software

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A Case Study of Nanokernel in Education

A Case Study of Nanokernel in Education

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2008 IEEE International Symposium on IT in Medicine and Education(ITME 2008)

作者： Nicholas McGuire Distributed & Embedded System Lab (DSLab) Lanzhou UniversityP. R. China Engineering Research Center of Open Source Software and Real-Time SystemsMinistry of Education Department of Information Science and EngineeringLanzhou UniversityP. R. China

In order to make the operating system in education easier to understand and practice,we advise to introduce a kind of nanokernel to the beginner because the concept of nanokernel was to reduce the kernel to basic schedular,interrupt and timer,and let others reside in user space in forms of normal *** as a special nanokernel is a part of OCERA(Open Components for Embedded Real-time Application) project in Europe.A feature of XtratuM is that it can realize executing several operating system in the same *** a nanokernel with less than 5000 lines source codes,XtratuM has its prospects in resolving complex requirements in embedded developing *** is worth a try to introduce XtratuM as an instructional operating system.

关键词： XtratuM,nanokernel

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Covert channel mitigation method for secure real-time database using capacity metric

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Tongxin Xuebao/Journal on Communications 2008年第8期29卷 46-56页

作者： Zeng, Hai-Tao Wang, Yong-Ji Ruan, Li Zu, W. Cai, Jia-Yong Lab for Internet Software Technology Institute of Software Chinese Academy of Science Beijing 100190 China Key Laboratory for Computer Science Chinese Academy of Sciences Beijing 100190 China Graduate University Chinese Academy of Sciences Beijing 100049 China National Engineering Research Center for Fundamental Software Institute of Software Chinese Academy of Science Beijing 100190 China Integrate Information System Research Center Institute of Automation Chinese Academy of Science Beijing 100190 China

A capacity using covert channel mitigation method (CUCCMM) was proposed. This method uses capacity as metric for channel danger measure according to trusted computer system evaluation criteria (TCSEC) and multiple probabilities based protocol selection policy (MPBPSP) to guide die application of secure concurrency control protocol. The algorithms of channel's capacity measure and policy's parameter computing are also presented. Experimental results show that CUCCMM implements the restriction criterion on channel's capacity effectively and accurately, and the MPBPSP significantly decreases the influence of restriction operation on real-time performance.

关键词： Concurrency control

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Access control policy management framework based on RBAC in OSGi service platform

Access control policy management framework based on RBAC in ...

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6th IEEE International Conference on Computer and information Technology, CIT 2006

作者： Cho, Eun-Ae Moon, Chang-Joo Park, Dae-Ha Baik, Doo-Kwon Software System Lab. Dept. of Computer Science and Engineering Korea University 1 5-ga Anam-dong Seongbuk-gu Seoul 136-701 Korea Republic of Dept. of Computer Science Konkuk University 322 Danwol-dong Chungcheongbuk-do 380-701 Korea Republic of Dept. of Computer and Information Science Korea Digital University Korea University Anamdong 5-ga 1 Seongbuk-gu Seoul 136-701 Korea Republic of

ISBN: (纸本)076952687X

The OSGi provides a service platform which ensures the interoperability between heterogeneous technologies and various devices in home network environment. Nowadays, user access control is one of the core parts which should be cleared, but there are no concrete researches yet. So in this paper, we propose a supplemented authorization policy management framework based on RBAC (Role-Based Access Control) for user access control at home network environment in which the OSGi service platform is operated. The proposed access control framework improves effectiveness, assures privacy and provides convenience at the same time. In conclusion, we provide the base to implement the effective, safe, and convenient the OSGi service platform by proposing the new framework in authorization and user administration part. © 2006 IEEE.

关键词： Telecommunication services

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Statistical method of improving efficiency on sequential patterns

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Jisuanji Gongcheng/Computer engineering 2005年第16期31卷 69-70+91页

作者： Lu, Shen Li, Chunping Lab. of Information System and Engineering Tsinghua University Beijing 100084 China School of Software Tsinghua University Beijing 100084 China

This paper analyzes some features of discovering frequent patterns on large set of transactions. On this basis, it gives an improved algorithm (called AprioriAdjust) with the development of two techniques: (1) applying the compressive processing of the transaction set for mining sequential patterns;(2) presenting a method based on the statistical mechanism to evaluate the sequence's support, in which the convergence of average value of the support in the whole procedure is considered, so as to effectively prune the candidate set of the frequent patterns. Furthermore, it discusses the results of the experiments. Compared to the AprioriTID algorithm, it shows that the AprioriAdjust algorithm is more efficient and scalable over the large sets of transactions.

关键词： Data mining Largest frequent item set Sequential pattern mining Statistical model

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Energy-aware broadcasting method for wireless sensor network

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EUC 2005 Workshops: 2nd International Symposium on Ubiquitous Intelligence and Smart Worlds, UISW 2005, IFIP International Symposium on Network-Centric Ubiquitous systems, NCUS 2005, 1st International Workshop on Security in Ubiquitous Computing systems, SecUbiq 2005, 1st International Workshop on RFID and Ubiquitous Sensor Networks, USN 2005 and International Workshop on Trusted and Autonomic Ubiquitous and Embedded systems, TAUES 2005 held in conjunction with the IFIP International Conference on Embedded and Ubiquitous Computing, 2005

作者： Park, Cheol-Min Kim, Dae-Won Hwang, Jun Chung-Ang Univ System Software Lab Dept. of Computer Science and Engineering Bobst-Hall 5 floor Seoul 221156-756 Korea Republic of Seoul Woman’s Univ Dept. of Information and Media Seoul 126139-774 Korea Republic of

ISBN: (纸本)3540308032

The communicative behaviors in Wireless Sensor Networks(WSNs) can be characterized by two different types: routing and broadcasting. The broadcasting is used for effective route discoveries and packet delivery. A blind flooding approach for broadcasting generates many redundant transmissions. The Dominant Pruning(DP) algorithm is reduced the redundant transmissions of packets based on 2-hop neighborhood information. However, in DP(include TDP/PDP) algorithm, a particular node is frequently selected as a rebroadcasting node and its life-time is shortened. As a result, DP algorithm is insufficient in terms of the overall energy dissipation in sensor network. In this paper, we propose the algorithm based on Partial Dominant Pruning(PDP) algorithm to enhance sensor network lifetime. We compare and analyze the simulation result of our algorithm with PDP. © IFIP International Federation for information Processing 2005.

关键词： Energy dissipation

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