원문정보
보안공학연구지원센터(IJGDC)
International Journal of Grid and Distributed Computing
vol.4 no.1
2011.03
pp.57-66
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Grid Computing in today’s world is a boon for high speed computing. Grids are composed from intersection of clusters, which provide huge volume of computing power. An environment with broadly distributed resources is liable to various types of security attacks. To solve this problem, we use P-LEASEL algorithm, which provides secure multicast communications in grid environment. Kerberos is used for authentication. Trust computing is incorporated to perform trust evaluation for the nodes to prevent the entry of malicious nodes in a group.
목차
Abstract
1. Introduction
2. Related work
3. Security in grid computing
3.1. P-leasel model
3.2. Kerberos
4. Trust in grid computing
4.1. Qgrid
4.2. Qlearning algorithm
5. Integration of security and trusting in grid computing
6. Conclusion
References
1. Introduction
2. Related work
3. Security in grid computing
3.1. P-leasel model
3.2. Kerberos
4. Trust in grid computing
4.1. Qgrid
4.2. Qlearning algorithm
5. Integration of security and trusting in grid computing
6. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보