Intelligent Data Flow Tagging Across Layered Web Application Architectures: A Privacy-by-Design Approach for NET Enterprise Systems
Keywords:
Data Flow Analysis, Privacy by Design, Software Architecture, Data Lineage, Sensitive Data DetectionAbstract
Blockchain technology is rapidly gaining prominence globally. Blockchain, characterized by its decentralized, transparent, and secure attributes, has emerged as a transformative technology for the forthcoming generation of various industrial applications. One such concept is the Cloud of Things, facilitated by the integration of cloud computing and the Internet of Things. In this context, blockchain offers unique ways to tackle difficulties in the Cloud of Things regarding decentralization, data privacy, and network security, while the Cloud of Things provides elasticity and scalability features to enhance the efficiency of blockchain operations. Consequently, a new paradigm of blockchain and Cloud of Things integration, termed BCoT, is increasingly recognized as a promising facilitator for various application scenarios. This paper offers a comprehensive study of BCoT integration, aimed at providing general readers with an overview of BCoT, encompassing basic information, motivation, and integrated architecture. Specifically, we offer a comprehensive analysis of BCoT applications across various use-case domains, including smart healthcare, smart cities, smart transportation, and smart industry. Subsequently, we examine the latest advancements in BCoT alongside the burgeoning blockchain and cloud platforms, applications, and research initiatives. Ultimately, significant research problems and prospective approaches are emphasized to stimulate additional inquiry in this intriguing field.