LiWu Chang - researchr alias

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Viewing Publication 1 - 40 from 40

2011

Improvement of Teaching Mode and Its Effect on Experiments in Material Mechanics with Information TechnologyLiWu Chang, Yuzhou Sun, Junfeng Xu. csee2 2011: 36-40 [doi]

2008

How to Prevent Private Data from being Disclosed to a Malicious AttackerJustin Z. Zhan, LiWu Chang, Stan Matwin. In Tsau Young Lin, Ying Xie, Anita Wasilewska, Churn-Jung Liau, editors, Data Mining: Foundations and Practice. Volume 118 of Studies in Computational Intelligence, pages 517-528, Springer, 2008. [doi]

Privacy-Preserving Naive Bayesian Classification over Horizontally Partitioned DataJustin Z. Zhan, Stan Matwin, LiWu Chang. In Tsau Young Lin, Ying Xie, Anita Wasilewska, Churn-Jung Liau, editors, Data Mining: Foundations and Practice. Volume 118 of Studies in Computational Intelligence, pages 529-538, Springer, 2008. [doi]

2007

Distance Bounding Protocols: Authentication Logic Analysis and Collusion AttacksCatherine Meadows, Radha Poovendran, Dusko Pavlovic, LiWu Chang, Paul F. Syverson. In Radha Poovendran, Sumit Roy, Cliff Wang, editors, Secure Localization and Time Synchronization for Wireless Sensor and Ad Hoc Networks. Volume 30 of Advances in Information Security, pages 279-298, Springer, 2007. [doi]

Network intrusion detection through Adaptive Sub-Eigenspace Modeling in multiagent systemsMei-Ling Shyu, Thiago Quirino, Zongxing Xie, Shu-Ching Chen, LiWu Chang. taas, 2(3):9, 2007. [doi]

Efficient algorithms for distortion and blocking techniques in association rule hidingVassilios S. Verykios, Emmanuel D. Pontikakis, Yannis Theodoridis, LiWu Chang. dpd, 22(1):85-104, 2007. [doi]

Privacy-preserving multi-party decision tree inductionJustin Z. Zhan, Stan Matwin, LiWu Chang. ijbidm, 2(2):197-212, 2007. [doi]

Privacy-preserving collaborative association rule miningJustin Z. Zhan, Stan Matwin, LiWu Chang. jnca, 30(3):1216-1227, 2007. [doi]

2006

Towards More Efficient Distance Bounding Protocols for Use in Sensor NetworksCatherine Meadows, Paul F. Syverson, LiWu Chang. securecomm 2006: 1-5 [doi]

Collateral Representative Subspace Projection Modeling for Supervised ClassificationThiago Quirino, Zongxing Xie, Mei-Ling Shyu, Shu-Ching Chen, LiWu Chang. ictai 2006: 98-105 [doi]

Principal Component-based Anomaly Detection SchemeMei-Ling Shyu, Shu-Ching Chen, Kanoksri Sarinnapakorn, LiWu Chang. In Tsau Young Lin, Setsuo Ohsuga, Churn-Jung Liau, Xiaohua Hu, editors, Foundations and Novel Approaches in Data Mining. Volume 9 of Studies in Computational Intelligence, pages 311-329, Springer, 2006. [doi]

A Distributed Agent-Based Approach to Intrusion Detection Using the Lightweight PCC Anomaly Detection ClassifierZongxing Xie, Thiago Quirino, Mei-Ling Shyu, Shu-Ching Chen, LiWu Chang. sutc 2006: 446-453 [doi]

UNPCC: A Novel Unsupervised Classification Scheme for Network Intrusion DetectionZongxing Xie, Thiago Quirino, Mei-Ling Shyu, Shu-Ching Chen, LiWu Chang. ictai 2006: 743-750 [doi]

Privacy-Preserving Collaborative Data MiningJustin Z. Zhan, LiWu Chang, Stan Matwin. In Tsau Young Lin, Setsuo Ohsuga, Churn-Jung Liau, Xiaohua Hu, editors, Foundations and Novel Approaches in Data Mining. Volume 9 of Studies in Computational Intelligence, pages 213-227, Springer, 2006. [doi]

2005

Preventing wormhole attacks on wireless ad hoc networks: a graph theoretic approachLoukas Lazos, Radha Poovendran, Catherine Meadows, Paul F. Syverson, LiWu Chang. wcnc 2005: 1193-1199 [doi]

Handling Nominal Features in Anomaly Intrusion Detection ProblemsMei-Ling Shyu, Kanoksri Sarinnapakorn, Indika Kuruppu-Appuhamilage, Shu-Ching Chen, LiWu Chang, Thomas Goldring. ride 2005: 55-62 [doi]

Handling missing values via decomposition of the conditioned setMei-Ling Shyu, Indika Kuruppu-Appuhamilage, Shu-Ching Chen, LiWu Chang. iri 2005: 199-204 [doi]

Privacy-Preserving Collaborative Association Rule MiningJustin Z. Zhan, Stan Matwin, LiWu Chang. dbsec 2005: 153-165 [doi]

Private Mining of Association RulesJustin Z. Zhan, Stan Matwin, LiWu Chang. isi 2005: 72-80 [doi]

Building k-nearest neighbor classifiers on vertically partitioned private dataJustin Z. Zhan, LiWu Chang, Stan Matwin. grc 2005: 708-711 [doi]

Privacy Preserving K-nearest Neighbor ClassificationJustin Z. Zhan, LiWu Chang, Stan Matwin. ijnsec, 1(1):46-51, 2005. [doi]

2004

2003

An Agent-Based Approach to Inference Prevention in Distributed Database SystemsJames Tracy, LiWu Chang, Ira S. Moskowitz. ijait, 12(3):297-313, 2003. [doi]

2002

2001

Randomly roving agents for intrusion detectionIra S. Moskowitz, Myong H. Kang, LiWu Chang, Garth E. Longdon. dbsec 2002: 135-149

2000

An Integrated Framework for Database Privacy ProtectionLiWu Chang, Ira S. Moskowitz. dbsec 2001: 161-172

A new paradigm hidden in steganographyIra S. Moskowitz, Garth E. Longdon, LiWu Chang. nspw 2000: 41-50 [doi]

1999

An Entropy-Based Framework for Database InferenceIra S. Moskowitz, LiWu Chang. ih 2000: 405-418

1998

Parsimonious Downgrading and Decision Trees Applied to the Inference ProblemLiWu Chang, Ira S. Moskowitz. nspw 1998: 82-89 [doi]

Bayesian Methods to the Database Inference ProblemLiWu Chang, Ira S. Moskowitz. dbsec 1999: 237-251

1997

Critical analysis of security in voice hiding techniquesLiWu Chang, Ira S. Moskowitz. icics 1997: 203-216

1993

Study of interval belief combinationRangasami L. Kashyap, LiWu Chang. jirs, 7(1):1-13, 1993. [doi]

1990

Study of interval-valued belief combination with conflicting evidenceLiWu Chang, Rangasami L. Kashyap. ictai 1990: 725-730 [doi]

A real time control strategy for Bayesian belief networks with application to ship classification problem solvingScott A. Musman, LiWu Chang, Lashon B. Booker. ictai 1990: 738-744 [doi]

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2011

2008

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1990

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