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Predicting the behavioural patterns of an ambiguous environment is a complex task that could risk the integrity of security architecture if left unnoticed. One such ambiguous environment is the cloud computing paradigm where computations are executed remotely in geographically dispersed decentralized data centers, and access to resources distributed beyond a definable and controlled perimeter. Nevertheless, the consumer’s confidence in dependable and trustworthy services is still uncertain as a result of security concerns encompassing the cloud. Deploying trusted computing models that can assure security could considerably improve the average consumer’s perspective. Our proposed model emphasises an attestation procedure for trust evaluation, measuring and auditing the integrity of the system through a body of evidence. The model implements an attestation rule engine based on a Cloud Attestation Protocol (CAP). The approach for monitoring the behaviour and certifying it for attestation enables the users to select the services with trustworthiness.