Demo Data from VLDB 2026 / reviewers in the wild / expert
Elliot Greenlee
dblp:207/6594
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2017
—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 |
Digital forensics and information hiding · 77% Network security · 23% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Digital forensics and information hiding › digital forensics
forensic analysis |
0.3 | 1 | 2017 | DEMO: Akatosh: Automated Cyber Incident Verification and Impact Analysis · CCS 2017 |
Network security › intrusion detection and prevention
intrusion detection |
0.1 | 1 | 2017 | DEMO: Akatosh: Automated Cyber Incident Verification and Impact Analysis · CCS 2017 |
Methods — techniques the papers use, named apart from their topics
snapshot-based monitoring · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | DEMO: Akatosh: Automated Cyber Incident Verification and Impact AnalysisabstractAkatosh, a U.S. Department of Homeland Security Transition to Practice Program (TTP) project developed by Oak Ridge National Laboratory with industry and academic partnership, enables automated, real-time forensic analysis of endpoints after malware-attacks and other cyber security incidents by automatically maintaining detailed snapshots of host-level activity on endpoints over time. It achieves this by integrating intrusion detection systems (IDS) with forensic tools. The combination allows Akatosh to collect vast amounts of endpoint data and assists in verifying, tracking, and analyzing endpoints in real time. This provides operations personnel and analysts as well as managers and executives with continuous feedback on the impact of malicious software and other security incidents on endpoints in their network. Jared M. Smith, Elliot Greenlee, Aaron E. Ferber |
CCS | 2 |