A Novel Method to Monitor Threats in Cloud Computing Environment
||International Journal of Computer Trends and Technology (IJCTT)||
|© 2017 by IJCTT Journal|
|Year of Publication : 2017|
|Authors : K.Arthi, M.Rajeev Kumar, B.Bhagyashree|
|DOI : 10.14445/22312803/IJCTT-V49P127|
K.Arthi, M.Rajeev Kumar, B.Bhagyashree "A Novel Method to Monitor Threats in Cloud Computing Environment". International Journal of Computer Trends and Technology (IJCTT) V49(3):169-178, July 2017. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Cloud Computing did come up with so many attractive advantages such as scalability, flexibility, accessibility, rapid application deployment, and user self-services. However in hindsight, cloud computing makes ensuring security within these environments so much challenging. Therefore traditional security mechanisms such as firewalls and antivirus software have proven insufficient and incapable of dealing with the sheer amount of data and events generated within a Cloud infrastructure. Herein, we present a highly scalable module based system that relies upon Big Data techniques and tools providing a comprehensive solution to process and analyse relevant events (packets flow, logs files) in order to generate an informative decisions that will be handled accordingly and swiftly.As the adoption of Cloud Computing is growing exponentially, a huge sheer amount of data is generated therefore needing to be processed in order to control efficiently what is going within the infrastructure, and also to respond effectively and promptly to security threats. Here in, we provide a highly scalable plug in based and comprehensive solution in order to have a real-time monitoring by reducing the impact of an attack or a particular issue in the overall distributed infrastructure. This work covers a bigger scope in infrastructure security by monitoring all devices that generate log files or generate network traffic. By applying different Big data techniques for Data analysis.
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Threats, Cloud computing, SIEM, Data Access.