Abstract
Radio Frequency Identification (RFID) systems are expected to be widely deployed in automated identification and supply-chain applications. Although RFID systems have several advantages, the technology may also create new threats to user privacy. In this paper, we propose the Fair RFID system. This involves improving the security and privacy of existing RFID systems while keeping in line with procedures already accepted by the industrial world. The proposed system enables the protection of users' privacy from unwanted scanning, and, when necessary, is conditionally traceable to the tag by authorized administrators.
| Original language | English |
|---|---|
| Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Pages | 142-152 |
| Number of pages | 11 |
| Volume | 3813 LNCS |
| DOIs | |
| Publication status | Published - 2005 Dec 1 |
| Externally published | Yes |
| Event | Second European Workshop on Security and Privacy in Ad-hoc and Sensor Networks, ESAS 2005 - Visegrad, Hungary Duration: 2005 Jul 13 → 2005 Jul 14 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 3813 LNCS |
| ISSN (Print) | 03029743 |
| ISSN (Electronic) | 16113349 |
Other
| Other | Second European Workshop on Security and Privacy in Ad-hoc and Sensor Networks, ESAS 2005 |
|---|---|
| Country | Hungary |
| City | Visegrad |
| Period | 05/7/13 → 05/7/14 |
Fingerprint
Keywords
- Fairness
- Privacy
- RFID
- Security
- Traceability
- Uncheckable
ASJC Scopus subject areas
- Biochemistry, Genetics and Molecular Biology(all)
- Computer Science(all)
- Theoretical Computer Science
Cite this
RFID system with fairness within the framework of security and privacy. / Kwak, Jin; Rhee, Keunwoo; Oh, Soohyun; Kim, Seung-Joo; Won, Dongho.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3813 LNCS 2005. p. 142-152 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3813 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - RFID system with fairness within the framework of security and privacy
AU - Kwak, Jin
AU - Rhee, Keunwoo
AU - Oh, Soohyun
AU - Kim, Seung-Joo
AU - Won, Dongho
PY - 2005/12/1
Y1 - 2005/12/1
N2 - Radio Frequency Identification (RFID) systems are expected to be widely deployed in automated identification and supply-chain applications. Although RFID systems have several advantages, the technology may also create new threats to user privacy. In this paper, we propose the Fair RFID system. This involves improving the security and privacy of existing RFID systems while keeping in line with procedures already accepted by the industrial world. The proposed system enables the protection of users' privacy from unwanted scanning, and, when necessary, is conditionally traceable to the tag by authorized administrators.
AB - Radio Frequency Identification (RFID) systems are expected to be widely deployed in automated identification and supply-chain applications. Although RFID systems have several advantages, the technology may also create new threats to user privacy. In this paper, we propose the Fair RFID system. This involves improving the security and privacy of existing RFID systems while keeping in line with procedures already accepted by the industrial world. The proposed system enables the protection of users' privacy from unwanted scanning, and, when necessary, is conditionally traceable to the tag by authorized administrators.
KW - Fairness
KW - Privacy
KW - RFID
KW - Security
KW - Traceability
KW - Uncheckable
UR - http://www.scopus.com/inward/record.url?scp=33745745500&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33745745500&partnerID=8YFLogxK
U2 - 10.1007/11601494_12
DO - 10.1007/11601494_12
M3 - Conference contribution
SN - 3540309128
SN - 9783540309123
VL - 3813 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 142
EP - 152
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ER -