Skip to main navigation Skip to search Skip to main content

Semantic similarity analysis model for CND policy and measure

  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In order to effectively deal with large-scale attacks on computer networks, Computer Network Defense (CND) policy refinement based on descriptive language is wildly used. However, it's very difficult to figure out the semantic discrepancies between the measures and the predefined policy after the calculation with symbols by computers. A new method is presented to solve the discordance of semantic between the measures and the predefined policy automatically. Based on the establishment of the ontology of CND policy and measure (CNDPM), the CND policy and measure semantic similarity analysis model (CNDPMSSAM) is established, and then the termination of the two main components of CNDPMSSAM are proofed by the putdown automaton, and the prototype system of CNDPMSSAM is implemented. At last, we validate the validity of this method on analyzing semantic similarity of transferring from Computer Network Defense Policy Specification Language (CNDPSL) to Defense Measure Description Language (DMDL) with experiments.

Original languageEnglish
Title of host publicationICEIT 2010 - 2010 International Conference on Educational and Information Technology, Proceedings
PagesV1528-V1534
DOIs
StatePublished - 2010
Event2010 International Conference on Educational and Information Technology, ICEIT 2010 - Chongqing, China
Duration: 17 Sep 201019 Sep 2010

Publication series

NameICEIT 2010 - 2010 International Conference on Educational and Information Technology, Proceedings
Volume1

Conference

Conference2010 International Conference on Educational and Information Technology, ICEIT 2010
Country/TerritoryChina
CityChongqing
Period17/09/1019/09/10

Keywords

  • CND measure
  • CND policy
  • Ontology
  • Semantic similarity

Fingerprint

Dive into the research topics of 'Semantic similarity analysis model for CND policy and measure'. Together they form a unique fingerprint.

Cite this