ABSTRACT
With a number of IoT devices expected to reach above 30 billion by 2025, the security and privacy challenges related to the exchange of data are increasingly becoming a key concern for all stakeholders involved in the ecosystem of IT and allied industries. In this particular context, our research aims to explore, comprehend, analyze, and recommend the solutions for effective and secure data management in the field of IoT data analytics with their specific applications for smart cities. With the help of extant literature and real-world scenarios, the study identifies the key challenges faced by IoT data analytics firms while they handle, process, execute, and transfer enormous data through trillions of interconnected devices. The identification is then followed by the analysis of the key variables based on which authors conceptualize a theoretical framework to connect the stakeholders in the IoT data analytics segment. The framework suggests the strategies to successfully manage the security and privacy challenges related to data while specifying areas that require specific attention from the industry. In addition, the research offers crucial recommendations for industry, customers, and policymakers and has important implications for researchers as well as practitioners.
