Earticle

초록

영어

This paper introduces people-oriented security vulnerability assessment techniques through pattern analysis in order to overcome the limits of the prevalent system-centered and data-centered security vulnerability assessments. This paper suggests algorithms to detect abnormal patterns due to security breach by analyzing physical and logical patterns of people who approach to IT information system. As a result of the analysis, we found that the information system users’ access patterns and behaviors belong to certain categories, and by combining these patterns, it is possible to identify abnormal patterns (∮= 1) which lead to security breach accidents. This research will enable a new way of user-oriented security vulnerability assessment.

목차

Abstract
 1. Introduction
 2. Types of Security Control
 3. People-Oriented Security Vulnerability Assessment Techniques
  3.1. Access Type p Pattern Analysis
  3.2. Algorithms to Determine Abnormality of a Pattern
  3.3. Additional Algorithms to Determine Abnormality of a Pattern
 4. Simulation
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• Choon Park [ Dept. of Electronic Engineering, Mokwon University, Doctor's Course ]
• Dae-Sik Ko [ Dept. of Electronic Engineering, Mokwon University, Professor ] Corresponding author

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