Using new edges for anomaly detection in computer networks
Creation of new edges in a network may be used as an indication of a potential attack on the network. Historical data of a frequency with which nodes in a network create and receive new edges may be analyzed. Baseline models of behavior among the edges in the network may be established based on the analysis of the historical data. A new edge that deviates from a respective baseline model by more than a predetermined threshold during a time window may be detected. The new edge may be flagged as potentially anomalous when the deviation from the respective baseline model is detected. Probabilities for both new and existing edges may be obtained for all edges in a path or other subgraph. The probabilities may then be combined to obtain a score for the path or other subgraph. A threshold may be obtained by calculating an empirical distribution of the scores under historical conditions.
- Issue Date:
- OSTI Identifier:
- 1459412
- Assignee:
- Los Alamos National Security, LLC (Los Alamos, NM) LANL
- Patent Number(s):
- 10,015,183
- Application Number:
- 15/637,475
- Contract Number:
- AC52-06NA25396
- Resource Relation:
- Patent File Date: 2017 Jun 29
- Research Org:
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Sponsoring Org:
- USDOE
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING
- Full Text
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