Enforcement of Activity Service and Identity of Intrusion Attack in Cloud Environment using Behavioral Hit FeatureAlgorithm

  • N.Zafer Ahmed, Dr.R.Durga
Keywords: Cloud Systems, SaaS, QoS, Cloud Security, SSPIAM, BTF, HRTF, PLTF, TSAF, Behavior Analysis, Hit Rate.

Abstract

Cloud platform has been identified as popular in providing SaaS (Software as a Service) in recent days. As like any other environment the cloud platform face variety of security threats and the intrusion attacks are most dominant among them. To mitigate the intrusion attacks and secure the platform in providing seamless service, different methods are recommended in literature. Still, the methods suffer to provide higher security for the services of cloud platform, to improve the performance in detecting intrusion attacks, an efficient Service Specific Payload Inference Analysis Model (SSPIAM) is presented.  The model monitors different activities happening in the environment by accessing the services provided. Different users of the environment have been allowed to access the services and each activities and behaviors are monitored by the system. Such activities and behaviors are tracked and logged in the service access logs. According to the logs, the model measures the values of Behavioral Trust Factor (BTF), Hit Rate Trust Factor (HRTF) and Payload Level Trust Factor (PLTF) measures.  Using all these factors, the method computes the Trusted Service Access Factor (TSAF) to perform intrusion detection. Based on the value of TSAF, the method performs intrusion detection and improves the performance of intrusion detection and reduces false classification ratio

Published
2021-07-15
How to Cite
Dr.R.Durga, N. A. (2021). Enforcement of Activity Service and Identity of Intrusion Attack in Cloud Environment using Behavioral Hit FeatureAlgorithm. Design Engineering, 2940-2952. Retrieved from http://www.thedesignengineering.com/index.php/DE/article/view/2707
Section
Articles