Navid Abapour

In recent years, establishing secure visual communications has turned into one of the essential problems for security engineers and researchers. However, only limited novel solutions are provided for image encryption, and limiting visual cryptography to only limited schemes can bring up negative consequences, especially with emerging quantum computational systems. This paper presents a novel algorithm for establishing secure private visual communication. The proposed method has a layered architecture with several cohesive components, and corresponded with an NP-hard problem, despite its symmetric structure. This two-step technique is not limited to gray-scale pictures, and furthermore, it is relatively secure from the theoretical dimension.

In the last few years, due to the benefit of solving large-scale computational problems, researchers have developed multi-cloud infrastructures. The trust-related issue in multiclouds includes more complicated content and new problems. A new trust management framework for multi-cloud environments is proposed in this article. The proposed framework used a combination of objective and subjective trust values to calculate the cloud service provider’s trust values. This new framework can identify and rectify fake feedback from other feedbacks. Another advantage of this framework is applying fuzzy rules to calculate trust values. Two main components of the proposed framework are simulated in this paper. The simulation results confirm the important role of applied components. Also, this paper proposed a framework compared with other frameworks (feedback-based model, SLA-based model, and multi-cloud model). Simulation results show the proposed framework increased trust values more than other models. Also, compared with other models, our framework gives better mean trust values.