Enforcing Trust-Based Intrusion Detection in Cloud Computing Using Algebraic Methods

Abstract

A trust-based intrusion detection scheme for hybrid cloud computing is proposed. We consider a trust metric based on honesty, cooperation and efficiency for detecting malicious machines. We use Perron-Frobenius theorem to detect intrusion based on trust and observations. By statistically analyzing pair trust distributed results, the portal of the application applies trust-based intrusion detection to assess the trustworthiness and maliciousness. An analytical model and simulation for performance are developed. We analyze the sensitivity of false alarms with respect to the minimum trust threshold below which a node is considered malicious. Results confirm that our proposal is flexible enough to detect malicious behaviours considering various parameters. This work can guide future execution in the cloud resource.