Demo Data from EDBT 2026 / reviewers in the wild / expert
Eric Harder
dblp:92/5831
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2000
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 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 |
Cryptographic protocols and secure computation · 87% Network security · 13% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cryptographic protocols and secure computation › key management
group key management |
0.0 | 1 | 2000 | Kronos: A Scalable Group Re-Keying Approach for Secure Multicast · S&P 2000 |
Cryptographic protocols and secure computation › key management › group key management
group rekeying |
0.0 | 1 | 2000 | Kronos: A Scalable Group Re-Keying Approach for Secure Multicast · S&P 2000 |
Network security › secure communication › secure group communication
secure multicast |
0.0 | 1 | 2000 | Kronos: A Scalable Group Re-Keying Approach for Secure Multicast · S&P 2000 |
Methods — techniques the papers use, named apart from their topics
simulation · 0.0performance comparison · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2000 | Kronos: A Scalable Group Re-Keying Approach for Secure MulticastabstractThe authors describe a novel approach to scalable group re-keying for secure multicast. Our approach, which we call Kronos, is based upon the idea of periodic group re-keying. We first motivate our approach by showing that if a group is re-keyed on each membership change, as the size of the group increases and/or the rate at which members leave and join the group increases, the frequency of rekeying becomes the primary bottle neck for scalable group re-keying. In contrast, Kronos can scale to handle large and dynamic groups because the frequency of re-keying is independent of the size and membership dynamics of the group. Next, we describe how Kronos can be used in conjunction with distributed key management frameworks such as IGKMP (T. Hardjono et al., 1998) that use a single group-wide session key for encrypting communications between members of the group. Using a detailed simulation, we compare the performance tradeoffs between Kronos and other key management protocols. Sanjeev Setia, Samir Koussih, Sushil Jajodia, Eric Harder |
S&P | 4 |