In the recent era, artificial intelligence (AI) is being used to support numerous solutions for human beings, such as healthcare, autonomous transportation, and so on. Cognitive computing is represented as a next-generation application AI-based solutions which provide human–machine interaction with personalized interactions and services that imitate human behavior. On the other hand, a large volume of data is generated from smart city applications such as healthcare, smart transportation, retail industry, and firefighting. There is always a concern on how to efficiently manage the large volume of generated data. Recently many existing researches discussed the analysis of the large quantity of data using cognitive computing; however, these researches are failed to handle the certain problems, namely scalability, and flexibility of data gathered in a smart city environment. Data captured from millions of sensors can be cross implemented across various cognitive computing applications to ensure real-time responses. In this paper, we study the cognitive internet of things (CIoT) and propose a CIoT-based smart city network (CIoT-Net) architecture which describes how data gathered from smart city applications can be analyzed using cognitive computing and handle the scalability and flexibility problems. We discuss various technologies such as AI and big data analysis to implement the proposed architecture. Finally, we describe the possible research challenges and opportunities while implementing the proposed architecture.

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Purpose The purpose of this paper is to propose a trusted security zone architecture that uses a blockchain technology to provide secure sharing of data in the security zone while maintaining the integrity, confidentiality and availability of data. The blockchain uses a distributed network to ensure data availability and uses public ledgers to ensure the integrity and confidentiality of data. Design/methodology/approach The proposed architecture uses a blockchain technology to provide secure sharing of data in the security zone while maintaining the integrity, confidentiality and availability of data. The blockchain uses a distributed network to ensure data availability and uses public ledgers to ensure the integrity and confidentiality of data. Findings Analysis of the proposed architecture with a use case scenario demonstrates that it provides a robust security measure against unauthorized network intrusions. Originality/value Unlike the existing security zone, this paper adopts a method of storing data by using blockchain. It meets the need to study integrated authentication management methods of future research.

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