Cloud federation enhances cloud services by enabling resource sharing and cooperation among multiple Cloud Service Providers (CSPs) for improved performance. However, one of the significant challenges for CSPs within the federation is maintaining coordination among heterogeneous CSPs. Additionally, reducing the presence of pernicious CSPs within the federation will allow the federation to deliver services with committed Quality of Service (QoS). Moreover, minimising the energy while migrating virtual machines within the federation will allow an increase in the revenue of CSPs within the federation. This paper proposed a Bayesian game-based model for detecting pernicious CSPs within the federation and developed a greedy double-auction-based resource-sharing mechanism. Here, the proposed mechanism ensures that CSPs achieve high satisfaction levels and guarantee a fair, efficient, and energy-aware resource-sharing environment among CSPs in a federation. Simulated results of the proposed Energy, Pernicious, and QoS Greedy Double Auction model (EPQ-GDA) are extensively compared with other competing models. The results demonstrate the effectiveness and superiority of our proposed method over the nearest competitor, with an average improvement in satisfaction of 2.61% for buyer CSPs and 3.67% for seller CSPs, 3.77% over energy, and 14.90% over perniciousness. Further simulated results also show that the EPQ-GDA satisfies important auction properties such as truthfulness, individual rationality, and budget balance.