Abstract

Cloud computing has forever changed the way data can be stored, processed and accessed by providing unprecedented flexibility across an elastic capacity. Nevertheless, combining cloud computing with Internet of Things (IoT) applications and blockchain technology raises new security issues. In this study, we present a detailed technical survey of the existing security techniques in cloud computing with emphasis on blockchain integration and how these strategies are implemented to support IoT-based applications run over cloud platforms. We discuss record information breaks, account commandeering and irrelevant interfaces are explored as essential dangers alongside what got intended security settings of encryption itself or else to counter this strikes we have right now True Authentication; trust chose service likewise Get Service identities functions set by the working for that reason get their work done about it will harm when in run time pass up a great opportunity these rules .Intentions based verification is extremely incremental method on Insufficient setting database pushing next alert. In addition, we take an examination of new risks such as Advanced Persistent Threats. These problems are resolved by investigating how blockchain technology can help us secure data integrity and authenticity with its decentralized and tamper-proof mechanism. It also investigates the use of machine learning techniques for more sophisticated threat detection and the creation of quantum-resistant algorithms to protect from future risks. We also elaborate the regulatory undertakings required in making a safe cloud perceived IOT application-framework. This review paper provides the sum of cloud security and anticipates future impacting factors that would be very value-able for researchers, practitioners and policy makers to secure their cloud-based IoT deployments.