Detection and mitigation security threats in cloud systems
Clouds systems provide computation and storage services to organizations and individuals with improved flexibility and low cost. Cloud customers hire resources in the form of virtual machines (VMs) within the cloud. However, these VMs may face various security threats. In this paper, three scenarios were created using RIVERBed simulation tool to detect and mitigate potential security threats targeting cloud systems. The primary objective of these scenarios is to evaluate the performance of database and web application under three different scenarios (no firewall, firewall and firewall blocking the web traffic). To demonstrate how these three scenarios can enhance cloud security, where there is no firewall, another scenario where firewall is created to filter database and web application packets and the third scenario is made to block the web traffic across the cloud. The performance metrics selected at the three levels (global level, node level and link level) is used to evaluate the performance for the database and web application from the simulations using two applications the database and web application, it is seen that the database application performance is improved when the web traffic is blocked. Even against the packet latency and the security policies the database point to point utilization is enhanced.
A thesis presented to the Department of Computer Science, Kwame Nkrumah University of Science and Technology, in partial fulfillment of the requirement of Master of Science (Information Technology).
Database, Web application, Security threats, Cloud systems