Multi-level Intrusion detection system in cloud environment based on trust level

2016 6th International Conference on Computer and Knowledge Engineering, ICCKE 2016

Volumn , Issue , 2016, Pages 94-99

  Salek, Zahra ^a   Madani, Fariborz Mousavi ^b  

^a TOSAN Intelligence Data Miners Company   (Iran)

^b ALZAHRA UNIVERSITY   (Iran)

Author keywords

Cloud Computing; Multi Level Intrusion Detection System; Risk Level; Trust Level

Indexed keywords

CLOUD COMPUTING; COMPUTER CRIME; DIGITAL STORAGE; DISTRIBUTED COMPUTER SYSTEMS; KNOWLEDGE ENGINEERING; MEMORY ARCHITECTURE; MERCURY (METAL); NETWORK SECURITY; SECURITY OF DATA; TRUSTED COMPUTING; VIRTUAL MACHINE;

CLOUD ENVIRONMENTS; CLOUD SERVICE PROVIDERS; INTRUSION DETECTION SYSTEMS; RESOURCE USAGE; RISK LEVELS; SECURITY TOOLS; TRUST LEVEL; USAGE MODELING;

INTRUSION DETECTION;

EID: 85010953144     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCKE.2016.7802122     Document Type: Conference Paper

References (14)

1. Technology, N. I.o.S.a., cloud computing guidelines for managing security and privacy, January 2012.
2. Grance, P.M.A.T., Effectively and Securely Using the Cloud Computing Paradigm 2009, National Institute of Standards and Technology: US
3. S. Habib, S.H., S. Ries, and M. Muhlhauser, Trust as afacilitator in cloud computing: a survey. Journal of Cloud Computing: Advances, Systems and Applications, 2012. 1: p. 19.
4. D. Sun, G.C., L. Sun, and x. Wang, Surveying and Analyzing Security, Privacy and Trust Issues in Cloud Computing Environments. Procedia Engineering, 2011. 15: p. 2852-2856.
5. Golbeck, J.A., Computing and applying trust in web-based social networks, 2005, University of Maryland.
6. Jun-Ho Lee, M.-W.P., Multi-Level Intrusion Detection System and Log Man-agement in Cloud Computing, in International Conference on Advanced Commu-nication Technology (ICACT)2011. p. 552-555.
7. Sebastian Roschke, F.C., Christoph Meinel, Intrusion Detection in the Cloud, in IEEE International Conference on Dependable, Autonomic and Secure Computing2009. p. 729-735.
8. Chi-Chun Lo, C.-C.H., A Cooperative Intrusion Detection System Framework for Cloud Computing Networks, in Conference on Parallel Processing Workshops2010. p. 280-284.
9. Chebrolu, S., A. Abraham, and J.P. Thomas, Feature deduction and ensemble design of intrusion detection systems. Computers & Security, 2005. 24(4): p. 295-300.
10. Saravanan, M.R.M.A.E. A Data Mining Analysis and Approach with Intrusion Detection / Prevention with Real Traffic
11. in IJCA Proceedings on EGovernance and Cloud Computing Services. 2012.
12. Vivin Sander, S.S., Economic denial of sustainability (edos) in cloud services using http and xml based ddos attacks. International Journal of Com-puter Applications, 2012. 41: p. 11-16.
13. H. Jin, G.X., D. Zou et al, A VMM-based intrusion prevention system in cloud computing environment. The Journal of Supercomputing, 2011: p. 1-19.
14. Project, T.O., http://oinkmaster.sourceforse.net, Nov 2011[Accessed: Sept 2012].