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https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/2288
Title: | Seclogmon : Security In Cloud Computing Using Activity Log For Consumer Data Protection |
Authors: | Sridhar, T Vivek, V Shekhar, R |
Keywords: | Cloud Computing Cloud security logging and monitoring OpenStack Server node log |
Issue Date: | 2017 |
Publisher: | RTEICT 2017 - 2nd IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology |
Citation: | pp. 1458-1462 |
Abstract: | Cloud security encompass under its umbrella very extensive set of service level agreements (SLA's), methodologies which are used to secure user data, applications and resources that are connected via cloud. But, still the clients are handicapped with very little support and knowledge about what actually happens to their data after they have pushed it on to the cloud. Data ownership is important issue, especially while dealing with an enormous amount of data. This allows cloud provides to create their own terms and conditions, which at times may seem arbitrary. We proposed a novel approach which will maintain logging and monitoring for helping cloud consumers to identify any abnormal activity and resolve the problems accordingly. But, logging has a wide application too, therefore it depends on the user how and what he logs and monitors. To aid the consumers all cloud service providers maintain logs and generate a huge amount of information, much of which is redundant, awkwardly formatted, but there are hidden clues that can help the consumer to understand that they are having, or more importantly, about to have a problem. Using these logs the work creates a tool which parses these logs and provides user the apt amount of information and allows them to understand their activities and job behavior on cloud. It helps them to report any anomaly in the use of their cloud job and infrastructure effectively. © 2017 IEEE. |
URI: | https://doi.org/10.1109/RTEICT.2017.8256839 http://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/2288 |
ISBN: | 9781509037049 |
Appears in Collections: | Conference Papers |
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