Detecting counterfeit products using supply chain event mining

International Conference on Advanced Communication Technology, ICACT

Volumn , Issue , 2013, Pages 744-748

  Lee, Ho Sung ^a   Bang, Hyo Chan ^a  

^a Electronics and Telecommunications Research Institute (ETRI)   (South Korea)

Author keywords

Counterfeiting; EPCglobal; EPCIS; Frequent pattern mining; Radiofrequency identification; Sequential pattern mining; Supply Chain

Indexed keywords

COUNTERFEITING; EPCGLOBAL; EPCIS; FREQUENT PATTERN MINING; SEQUENTIAL-PATTERN MINING;

ALGORITHMS; COMMUNICATION; COMPUTER SIMULATION; INTERNET; LOSSES; SUPPLY CHAINS; WEB SERVICES;

DATA MINING;

EID: 84876237767     PISSN: 17389445     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. ETH Zurich, SAP Research. "Problem-Analysis Report on Counterfeiting and Illicit Trade". Deliverable 5.1 of EU-BRIDGE Project, http://bridgeproject. eu/dataiFileIBRlDGE%20WP05%20%20AntiCounterfeiting% 20Problem%20Analysis. pdf. 2007.
2. EPCglobal Inc. "EPC Information Services (EPCIS) Version 1.0.1 Specification", http://www.gsl.org/epcglobal. http://www.gsl.org/gsmp/kc/ epcglobal/epcis/epcis -1-0 -I-standard-2007092 I. pdf, 2007.
3. T. Staake, F. Thiesse, E. Fleisch, "Extending the EPC Network-The Potential of RFID in Anti-Counterfeiting", Proceeding of ACM Symposium on Applied Computing, pp. 1607-1612, 2005.
4. A. Juels, "RFID security and privacy: a research survey", Selected Areas in Communications, IEEE Journal, pp. 381-394, 2006.
5. J. AI-Kassab, M. Lehtonen, F. Michahelles, "Anti-Counterfeiting Prototype Report" Deliverable 5.4 of EU-BRIDGE Project, http://www.bridgeproject. eu/dataiFile/BRI DG E -WP05 -Anti-Counterfeiting] rototype-Report.pdf, 2008.
6. M. Lehtonen, F Michahelles, E. Fleisch, "How to detect cloned tags in a reliable way from incomplete RFID traces", Proceeding of the IEEE International Conference on RFID, pp. 257-264, 2009.
7. Han, H. Cheng, D. Xin, X. Yan, "Frequent pattern mining: current status and future directions", Data Mining and Knowledge Discovery archive Volume 15 Issue 1, pp. 55-86, 2007.
8. R. Agrawal, T. Imielinski, A. Swami, "Mining association rules between sets of items in large databases", Proceeding of the ACM SIGMOD International Conference on Management of Data", pp. 207-216, 1993
9. I. Han, I. Pei, Y. Yin, "Mining frequent patterns without candidate generation", Proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 1-12, 2000.
10. I. Pei, I. Han, B. Mortaravi-Ad, H. Pinto, Q. Chen, U. Dayal, and M.-C. Hsu, "Prefixspan: Mining sequential patterns efficiently by prefixprojected pattern growth", Proceedings of the 17th International Conference on Data Engineering, pp. 215-224. 2001.
11. X. Yan, J. Han, and R. Afshar, "CloSpan: Mining closed sequential patterns in large datasets", Proceeding of the 2003 SIAM international conference on data mining, pp. 166-177, 2003
12. P. Tzvetkov, X. Yan, 1. Han, "TSP: Mining top-k closed sequential patterns", Knowledge and Information Systems, Volume 7, Issue 4, pp. 438-457, 2005