Demo Data from EDBT 2026 / reviewers in the wild / expert
Michael C. Neuman
dblp:40/4376
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1995
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 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% | |
| Software engineering, system software, and programming languages
1 paper |
Operating systems · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network security › intrusion detection and prevention › intrusion detection
anomaly detection |
0.0 | 1 | 1995 | UNICORN: Misuse Detection for UNICOS(TM) · SC 1995 |
Network security › intrusion detection and prevention
intrusion detection |
0.0 | 1 | 1995 | UNICORN: Misuse Detection for UNICOS(TM) · SC 1995 |
Network security › intrusion detection and prevention › intrusion detection › attack detection
misuse detection |
0.0 | 1 | 1995 | UNICORN: Misuse Detection for UNICOS(TM) · SC 1995 |
Methods — techniques the papers use, named apart from their topics
statistical profiling · 0.0expert rules · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1995 | UNICORN: Misuse Detection for UNICOS(TM)abstractAn effective method for detecting computer misuse is the automatic auditing and analysis of on-line user activity. This activity is reflected in the system audit record, by changes in the vulnerability posture of the system configuration, and in other evidence found through active testing of the system. In 1989 we started developing an automatic misuse detection system for the Integrated Computing Network (ICN) at Los Alamos National Laboratory. Since 1990 this system has been operational, monitoring a variety of network systems and services. We call it the Network Anomaly Detection and Intrusion Reporter, or NADIR. During the last year and a half, we expanded NADIR to include processing of audit and activity records for the Cray UNICOS operating system. This new component is called the UNICOS Real-time NADIR, or UNICORN. UNICORN summarizes user activity and system configuration information in statistical profiles. In near real-time, it can compare current activity to historical profiles and test activity against expert rules that express our security policy and define improper or suspicious behavior. It reports suspicious behavior to security auditors and provides tools to aid in follow-up investigations. UNICORN is currently operational on four Crays in Los Alamos' main computing network, the ICN. Gary G. Christoph, Kathleen A. Jackson, Michael C. Neuman, Christine L. B. Siciliano, Dennis D. Simmonds, Cathy A. Stallings, Joseph L. Thompson |
SC | 3 |