Managing and Securing Information Storage in the Internet of Things
Aamir S. Ahanger, Faheem Masoodi, Asra Khanam, Wasia Ashraf
Abstract
Data collected and processed by IoT devices need to be managed and secured to ensure their integrity, confidentiality, and availability. In light of the proliferation of IoT across various industries, such as smart homes, healthcare, manufacturing, and transportation, effective storage and security mechanisms become increasingly important. In IoT, information storage refers to the collection, retention, and organization of data generated by devices [1]. These Internet connected devices, furnished with sensors, adeptly accumulate extensive volumes of data from their immediate surroundings. This data can include sensor readings, user interactions, environmental conditions, and more. Effectively managing this data is crucial for extracting valuable insights, enabling informed decision-making, and enhancing the functionality of IoT systems [2]. In summary, managing and securing information storage in IoT involves implementing appropriate data governance practices, ensuring scalable storage infrastructure, employing encryption and access control measures, validating data integrity, using secure protocols and APIs, staying up to date with security patches, complying with privacy regulations, implementing backup and disaster recovery plans, and monitoring for threats and incidents. By addressing these aspects, organizations can safeguard the valuable data generated by IoT devices and maintain the trust and integrity of their IoT systems [3].