Demo Data from VLDB 2026 / reviewers in the wild / expert
Wenmao Zhang
dblp:54/5475
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2008
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1
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 |
Network security · 50% Authentication and access control · 50% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Authentication and access control › trust management
trust and reputation |
0.1 | 1 | 2008 | A Trust and Reputation based Anti-SPIM Method · INFOCOM 2008 |
Methods — techniques the papers use, named apart from their topics
trust and reputation · 0.1blacklisting · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2008 | A Trust and Reputation based Anti-SPIM MethodabstractInstant Messaging (IM) service is a killer application in the Internet. Due to the problem of IM spam (SPIM), building an effective anti-spim method is an important research topic. At present, most of anti-spim solutions are based on email-spam prevention techniques, which are not directly applicable to anti-spim. We present a new anti-spim method SpimRank, which integrates trust and reputation mechanisms with black-list technique. SpimRank also tracks user's historical action to deal with spim attacks in nearly real time, which is applicable to IM environment. Jun Bi, Wenmao Zhang |
INFOCOM | 3 |