internet of things

Privacy perception refers to the control individuals have over the use of their data, including determining who can access, share, and utilize it without interference or intrusion. In the context of the Internet of Things (IoT), particularly in Smart Home Data Monetization (SH-DM), users’ data is aggregated and made available to potential service providers to target end users with personalized advertisements.

This quantitative correlational research study aimed to investigate the factors affecting the implementation of zero-trust security and multifactor authentication (MFA) in a fog computing environment. Fog computing is an emerging decentralized technology that extends cloud computing capabilities near the user. A fog computing environment helps in faster communication with the internet of things (IoT) devices and reduces data transmission overheads.

We are delighted to present a comprehensive video showcasing our operational prototype designed specifically for intravenous therapy. The submitted video shows the sequential flow of the entire process, starting from the preparatory phase to initiate fluid therapy and seamlessly transitioning into the administration phase. It highlights the real-time integration of our fabricated device with a web browser and an automated control system, ensuring the high precision and accuracy in fluid administration.

This dataset consists of “.csv” files of 4 different routing attacks (Blackhole Attack, Flooding Attack, DODAG Version Number Attack, and Decreased Rank Attack) targeting the RPL protocol, and these files are taken from Cooja (Contiki network simulator). It allows researchers to develop IDS for RPL-based IoT networks using Artificial Intelligence and Machine Learning methods without simulating attacks. Simulating these attacks by mimicking real-world attack scenarios is essential to developing and testing protection mechanisms against such attacks.