Earticle

초록

영어

For the shortcomings of traditional network security alarm correlation method, combined with the original alarm information privacy protection needs. On the basis of analyzing the characteristics of multi-step attack, proposed the use of sequential pattern mining techniques associated with rapid multi-step attack methods QSPM. And on this basis, proposed privacy protection security alarm multistep attack sequence pattern mining method PPSPM, Achieve the associated sequence of events following the invasion premise security. Experiments show that the algorithm makes quantitative analysis. And compared with typical sequential pattern mining algorithm. Results show the new methods have a positive accuracy and efficiency.

목차

Abstract
 1. Introduction
 2. Related Theory
  2.1. Sequential Pattern Mining
  2.2. Analysis of Multi-step Attack Characteristics
  2.3. Sequential Pattern Mining Method
 3. Design of Intrusion Event Sequence Correlation Method
  3.1. Definition
  3.2. Design of Quick Sequential Pattern Mining Algorithm
  3.3. Design of Privacy Preserving Sequential Pattern Mining (PPSPM) Algorithm
 4. Experimental Analysis and Results
  4.1. Validity Analysis
  4.2. Performance Analysis
 5. Conclusion
 References

키워드

저자

• Duan Xueying [ Department of Intelligence Engineering, Jilin Police College, Jilin 132000, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605