repository
Special Graduate Schools
Graduate School of Engineering
Department of Industrial Systems Engineering
3. Theses(Master)
Anti-collision, Security & Privacy Solutions for Radio Frequency Identification (RFID) Systems
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | 왕지남 | - |
| dc.contributor.author | Jia, Zhai | - |
| dc.date.accessioned | 2019-10-21T06:45:39Z | - |
| dc.date.available | 2019-10-21T06:45:39Z | - |
| dc.date.issued | 2006-08 | - |
| dc.identifier.other | 1666 | - |
| dc.identifier.uri | https://dspace.ajou.ac.kr/handle/2018.oak/16281 | - |
| dc.description | 학위논문(석사)--아주대학교 산업대학원 :산업공학과,2006. 8 | - |
| dc.description.tableofcontents | 1 Introduction---------------------------------------1 2 Anti-Collision Solutions----------------------------2 2.1 Collision Problems-----------------------------2 2.2 Related Works----------------------------------3 2.3 Problem Definition and Mathematical Basis-------4 2.4 Parameters Estimation--------------------------6 2.5 Complementary Two-Model Estimation----------9 2.6 Simulation-------------------------------------15 3 Security & Privacy Protocol-------------------------16 3.1 RFID Security Problems-------------------------16 3.2 Related Works----------------------------------18 3.3 Problem Definitions------------------------------20 3.4 Randomly Key-Changed Identification Procedure--22 3.5 Illustration for the Scheme------------------------25 4 Conclusion-----------------------------------------28 References-------------------------------------------29 | - |
| dc.language.iso | eng | - |
| dc.publisher | The Graduate School, Ajou University | - |
| dc.rights | 아주대학교 논문은 저작권에 의해 보호받습니다. | - |
| dc.title | Anti-collision, Security & Privacy Solutions for Radio Frequency Identification (RFID) Systems | - |
| dc.title.alternative | Zhai Jia | - |
| dc.type | Thesis | - |
| dc.contributor.affiliation | 아주대학교 산업대학원 | - |
| dc.contributor.alternativeName | Zhai Jia | - |
| dc.contributor.department | 산업대학원 산업공학과 | - |
| dc.date.awarded | 2006. 8 | - |
| dc.description.degree | Master | - |
| dc.identifier.localId | 565425 | - |
| dc.identifier.url | http://dcoll.ajou.ac.kr:9080/dcollection/jsp/common/DcLoOrgPer.jsp?sItemId=000000001666 | - |
| dc.subject.keyword | RFID | - |
| dc.subject.keyword | Anti-Collision | - |
| dc.subject.keyword | Security Protocol | - |
| dc.description.alternativeAbstract | Radio Frequency Identification (RFID) is considered to be a promising identification approach in ubiquitous sensing technology. The operation of RFID systems in complicated applications often involves a situation in which numerous tags are present in the interrogation zone of a single reader interfering with each other simultaneously. In this paper, using complementary two-model estimation method, we propose a novel collision avoidance identification method based on the framed Aloha scheme. The underlying mathematical theories and two parameters estimation models have also been well discussed. Furthermore, the implementations of RFID systems in advanced applications may pose security and privacy risks to both organizations and individuals. Using randomly Key-Changed Identification, we propose an eavesdropping-proof security protocol based on cryptographic one way hash functions for passive RFID tags in this paper. Compared with several existing methods, our proposed protocol shows some security improvements as well as gives a reasonable and compatible approach that could be easily employed in practical situations. Finally, simulation results and illustration are given to verify the proposed anti-collision identification method as well as show clearly the whole operating procedure of the security protocol. | - |
- Appears in Collections:
- Special Graduate Schools > Graduate School of Engineering > Department of Industrial Systems Engineering > 3. Theses(Master)
- Files in This Item:
- There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
-
- License
- STATISTICS
- Total Visit :3,726,190
- Total Download :1,818
- Today View :3,848
