Abstract
Security Metrics help network administrators master the security status and strengthen security management for many years. Recently, with the usages of many new techniques and network structures, the cyber attacks become complex and the security measurement has received more and more attentions. However, existing methods usually focus on one aspect of security and the indicators used are usually difficult to quantify, which makes it difficult to understand network security status in some real circumstance. In this paper, we consider the network system security from the perspective of attack and defense and the changes of external security environment to propose a comprehensive and quantifiable index system for network security measurement. We illustrate the corresponding theories and the usages of each selected indicators and we also complete the real-time security measurement in various attacks and defenses by using NS3 simulator. The simulation results verify the correctness and rationality of the proposed Security Measurement Index System.
Original language | English |
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Title of host publication | Machine Learning for Cyber Security - 2nd International Conference, ML4CS 2019, Proceedings |
Editors | Xiaofeng Chen, Xinyi Huang, Jun Zhang |
Publisher | Springer |
Pages | 47-62 |
Number of pages | 16 |
ISBN (Print) | 9783030306182 |
DOIs | |
Publication status | Published - 1 Jan 2019 |
MoE publication type | A4 Conference publication |
Event | International Conference on Machine Learning for Cyber Security - Xi'an, China Duration: 19 Sept 2019 → 21 Sept 2019 Conference number: 2 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 11806 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | International Conference on Machine Learning for Cyber Security |
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Abbreviated title | ML4CS |
Country/Territory | China |
City | Xi'an |
Period | 19/09/2019 → 21/09/2019 |
Keywords
- Attack and defense confrontation
- Index system
- NS3 simulation
- Security metric