Abstract:
Cloud firewalls protect Virtual Private Infrastructure from DDoS attacks. Performance models are needed to fully characterize the cloud firewall operation and gain actionable insights into cloud security design. This article proposes a multi-dimensional Continuous-Time Markov Chain model for the cloud firewall that accounts for legitimate and malicious data traffic burstiness and correlation. We identify workload conditions where the cloud firewall may lose availability using the Markov-Modulated Poisson process (MMPP) and the Interrupted Poisson Process (IPP). We numerically verify that the cloud firewall is vulnerable to a burstiness-aware attack that could seriously compromise its operation by comparing the IPP and Poisson attacks. We also characterize how burstiness and correlation may degrade cloud firewall performance. Finally, we propose an elastic cloud firewall using MMPP-driven load balancing to provision virtual firewalls dynamically while meeting Service Level Agreement (SLA) latency requirements.
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.
Did you like this final year project?
To download this project Code with thesis report and project training... Click Here
