Next-Generation Secure Cloud Computing through Blockchain and Artificial Intelligence

Abstract

Cloud computing has become the fundamental technology for modern digital infrastructure supporting many business activities and the organization of the internet [1] because its promises of scalability, flexibility, and efficient own resource utilization were highly considered by many organizations. Nevertheless, these advantages come with a security challenge and cloud environments can be threatened by an even broader list, including unauthorized accesses, data leakages, privacy breaches, and multiple other forms of cyberattacks. In fact, one could argue that traditional security solutions require enhancement when sensitive data is processed by distributed cloud systems, and specifically at the scale of those systems. We propose a secure cloud computing scheme based on blockchain technology and DL based intrusion detection with the purpose to realize privacy-preserving cloud data management. The proposed scheme aims at including decentral-based authentication mechanism, encrypted communication procedure, and an efficient anomaly detection module to enhance the cloud security and reliability as a system. The experiment results prove that the proposed scheme owns better attack detection accuracy, secure data sharing and less security holes than traditional cloud-security schemes. All in all, this architectural framework may yield promising results in security cloud infrastructures for healthcare, and financial system as well as more intelligent enterprise(ies) in general, particularly where privacy and trust are of the strongest hold.