Demo Data from EDBT 2026 / reviewers in the wild / expert
Jay Zarfoss
dblp:10/3837
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2006
—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 · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network security › network measurement
botnet measurement |
0.1 | 1 | 2006 | A multifaceted approach to understanding the botnet phenomenon · Internet Measurement Conference 2006 |
Methods — techniques the papers use, named apart from their topics
distributed darknet measurement · 0.1DNS domain analysis · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | A multifaceted approach to understanding the botnet phenomenonabstractThe academic community has long acknowledged the existence of malicious botnets, however to date, very little is known about the behavior of these distributed computing platforms. To the best of our knowledge, botnet behavior has never been methodically studied, botnet prevalence on the Internet is mostly a mystery, and the botnet life cycle has yet to be modeled. Uncertainty abounds. In this paper, we attempt to clear the fog surrounding botnets by constructing a multifaceted and distributed measurement infrastructure. Throughout a period of more than three months, we used this infrastructure to track 192 unique IRC botnets of size ranging from a few hundred to several thousand infected end-hosts. Our results show that botnets represent a major contributor to unwanted Internet traffic - 27% of all malicious connection attempts observed from our distributed darknet can be directly attributed to botnet-related spreading activity. Furthermore, we discovered evidence of botnet infections in 11% of the 800,000 DNS domains we examined, indicating a high diversity among botnet victims. Taken as a whole, these results not only highlight the prominence of botnets, but also provide deep insights that may facilitate further research to curtail this phenomenon. Moheeb Abu Rajab, Jay Zarfoss, Fabian Monrose, Andreas Terzis |
Internet Measurement Conference | 2 |