Security, Privacy & Trust In IoT-Data-Platform For Smart Cities

The field of IoT is many-folded embracing various services, technologies, and standards. Hence, it is widely perceived as the angular stone of the ICT market for at least the next ten years. From an intelligent perspective, an IoT framework can be portrayed as an assortment of shrewd gadgets that interface on a cooperative premise to satisfy a shared objective.

As far as technology is concerned, loT deployments based on their target may adopt different processing and communication architectures, technologies, and design methodologies. For instance, the same loT system could leverage the capabilities of a Wireless Sensor Network (WSN) that collects the environmental information in a given area and a set of smartphones on top of which monitoring applications run. In the center, a normalized or restrictive middleware could be utilized to facilitate the admittance to virtualized assets and administrations. The middleware might be implemented using cloud technologies, centralized overlays, or peer-to-peer systems.

Security Practices In IoT

This high level of heterogeneity, coupled with the wide-scale of IoT systems, would magnify the security threats of the current internet, which is being increasingly used for the interaction between humans, machines, and robots in any combination. Moreover, because of the limited computing power, it becomes difficult to directly apply the traditional security countermeasures and privacy enforcement to IoT technologies. Also, there is the risk of arising scalability issues due to the high number of interconnected devices. Simultaneously, to arrive at full acknowledgment by clients it is obligatory to characterize legitimate security, protection, and trust models appropriate for the IoT application setting.

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Along with security. data anonymity, confidentiality, and integrity need to be guaranteed, as well as authentication and authorization mechanisms in order to prevent unauthorized users (ie., humans and devices) to access the system. For privacy requirements, both data protection, and users’ personal information. confidentiality has to be ensured, since devices may manage sensitive information (e.g, user habits).

Trust & privacy is IoT Concepts

Finally, trust is a fundamental issue since the loT environment is characterized by different devices which have to process and handle the data in compliance with user needs and rights.

It is noteworthy to note that adaptation and self-healing play a key role in IoT infrastructures, which must be able to face normal and unexpected changes in the target environment. Hence, privacy and security issues are to be treated with a high degree of flexibility as advocated. Along with conventional security solutions, it is also necessary to provide built-in security in the devices themselves like embedded systems in order to pursue dynamic prevention, detection, diagnosis, Isolation, and countermeasures against successful breaches.

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