Demo Data from EDBT 2026 / reviewers in the wild / expert
Sahi Islam
dblp:419/9646
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 since 2021
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 · 77% Cryptographic primitives and cryptanalysis · 23% | |
| Computer networks
1 paper |
Internet architecture and protocols · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Internet architecture and protocols
domain name system |
0.9 | 1 | 2025 | Poster: Transport Security Orchestration Using DNS · ICNP 2025 |
Network security › secure communication › secure communication protocol
TLS |
0.9 | 1 | 2025 | Poster: Transport Security Orchestration Using DNS · ICNP 2025 |
Cryptographic primitives and cryptanalysis › block cipher
lightweight block cipher |
0.3 | 1 | 2025 | Poster: Transport Security Orchestration Using DNS · ICNP 2025 |
Methods — techniques the papers use, named apart from their topics
DNS embedding · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Poster: Transport Security Orchestration Using DNSabstractCommunication networks enable the exchange of data with varying sensitivity, from non-sensitive public files to highly confidential healthcare or financial records. Cryptographic protection introduces significant computational and communication overhead. While lightweight ciphers have been proposed to reduce this burden, they compromise security and are unsuitable for sensitive data. We propose a system that enables adaptive security by embedding service sensitivity information in the Domain Name System (DNS), allowing peers to select appropriate cryptographic primitives based on data requirements. This approach ensures adequate protection while minimizing overhead. Additionally, it can be seamlessly integrated into existing networks without additional hardware. Initial results indicate improved throughput and reduced computational load on hosts. David Heye, Sahi Islam, Jan Pennekamp, Klaus Wehrle |
ICNP | 2 |