Demo Data from VLDB 2026 / reviewers in the wild / expert
Sze-Ling Yeo
dblp:54/2767
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2008
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 2
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Network and information security
1 paper |
Cyber-physical and IoT security · 77% Authentication and access control · 23% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cyber-physical and IoT security › iot privacy
RFID privacy |
0.1 | 1 | 2008 | Randomized Bit Encoding for Stronger Backward Channel Protection in RFID Systems · PerCom 2008 |
Authentication and access control › authentication › authentication protocols
RFID authentication |
0.0 | 1 | 2008 | Randomized Bit Encoding for Stronger Backward Channel Protection in RFID Systems · PerCom 2008 |
Methods — techniques the papers use, named apart from their topics
simulation · 0.1entropy analysis · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2008 | Randomized Bit Encoding for Stronger Backward Channel Protection in RFID SystemsabstractIn this paper, we introduce a randomized bit encoding scheme that can strengthen the privacy protection on RFID tags. This scheme is used together with the backward channel protection method proposed by Choi and Roh (2006), which serves to protect the unique identifier of an RFID tag from disclosure to close-range eavesdroppers. Choi and Roh's method faces the 'same-bit' problem, in which some bits of the unique identifier could be disclosed, thereby revealing critical information. Our proposed scheme alleviates the 'same-bit' problem to a negligible level. Furthermore, we propose an enhanced system model that can protect the unique tag identifier from disclosure not only against eavesdroppers, but against unauthorized interrogators as well. A metric based on entropy was defined and used to measure the amount of protection offered by the scheme. A method to construct an optimal randomized n-bit encoding scheme was also described. In addition, theoretical analysis and simulations were conducted, which show that the proposed encoding scheme provides significant improvement (achieving almost twice the entropy) over no encoding. Tong-Lee Lim, Tieyan Li, Sze-Ling Yeo |
PerCom | 3 |
| 2008 | A cross-layer framework for privacy enhancement in RFID systems
Tong-Lee Lim, Tieyan Li, Sze-Ling Yeo |
Pervasive Mob. Comput. | 3 |