DocumentCode :
3543081
Title :
Cloud security monitoring and vulnerability management
Author :
Kozlovszky, Miklos ; Kovacs, Levente ; Torocsik, M. ; Windisch, Gergely ; Acs, S. ; Prem, D. ; Eigner, Gyorgy ; Sas, P.I. ; Schubert, Thomas ; Poserne, V.
Author_Institution :
John von Neumann Fac. of Inf., Obuda Univ., Budapest, Hungary
fYear :
2013
fDate :
19-21 June 2013
Firstpage :
265
Lastpage :
269
Abstract :
Cloud infrastructure becomes the primary business environment for all types of enterprises during recent years. In cloud computing security is a fundamental concern, loss of control and potential lack of trust prevent large set of potential customers to immerse in the cloud world. One of the major key problem is how one can test, monitor or measure the underlying Cloud infrastructure from user/customer space. We have developed a solution which is able to examine the infrastructure, from security point-of-views. We offer a clear, adaptable, concise and easy-to-extend framework to assess the underlying cloud infrastructure. Our developed solution is generic and multipurpose it can act as a vulnerability scanner, and performance benchmarking tool at the same time. It is virtualized, it is agent based and collects assessment information by the decentralized Security Monitor and it archives the results received from the components and visualize them via a web interface for the tester/administrators. In this paper we present our virtualized cloud security monitor and assessment solution, we describe its functionalities and provide some examples of its results captured in real systems.
Keywords :
cloud computing; security of data; software agents; software performance evaluation; system monitoring; trusted computing; Web interface; agent; assessment information; business environment; cloud computing security; cloud infrastructure measurement; cloud infrastructure monitoring; cloud infrastructure testing; cloud security monitoring; decentralized security monitor; performance benchmarking tool; trust; virtualized cloud security monitor; vulnerability management; vulnerability scanner; Artificial intelligence; Cloud computing; Conferences; Monitoring; Security; Servers; Cyber Defense and cloud vulnerability assessment; Information Security;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Engineering Systems (INES), 2013 IEEE 17th International Conference on
Conference_Location :
San Jose
Print_ISBN :
978-1-4799-0828-8
Type :
conf
DOI :
10.1109/INES.2013.6632823
Filename :
6632823
Link To Document :
بازگشت