Privacy and Trust in IoT Ecosystems with Big Data:

A Survey of Perspectives and Challenges

Abstract—The Internet of Things (IoT) has become a vital part of our daily lives, enabling interconnectedness between various devices and systems. As the amount of data generated by IoT devices and systems continues to increase immensely, privacy and security concerns have emerged as a significant challenge for researchers and enterprises. Although we are aware of how much data IoT devices will generate per day, there is a lack of knowledge of how the collected data will be used. The privacy risks associated with data collection raise individual concerns in the IoT ecosystem. For instance, when sensitive personal information is exposed due to weak security practices, it can result in identity theft, financial fraud, or other types of cybercrime. The misuse of IoT devices also puts someone susceptible to physical risks, such as a compromised medical device leading to health complications. In this paper, we introduce the definition of the next-gen IoT Ecosystem and its relations to Big Data as well as investigate privacy and security risks associated with IoT ecosystems, identify the gaps in current privacy and security practices, and present technical solutions to tackle these problems. We aim to identify challenges and raise awareness about developing secure and privacy-preserving IoT systems in the era of Big Data. Index Terms—IoT, big data, privacy-enhanced technologies

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