Abstract: With the increasing demand for remote operations and the challenges posed during the COVID-19 pandemic, industries across various sectors, including logistics, manufacturing, and education, have adopted virtual solutions. Cloud-based robot control has emerged as a viable approach for enabling safe remote operation of robots. However, along with the benefits, there are also risks associated with cloud-based robots. In this study, a secure cloud-based robot control system using a blockchain system was developed. The robot utilizes supervisory control to navigate via the internet. The communication system of the robot relies on the ThingsSentral cloud-based IoT platform; enabling communication between the user via a GUI developed using Python Tkinter and the local robot over the internet. To facilitate internet communication, the robot in this study incorporates an ESP32 microcontroller, which provides a low-cost and low-power system capable of connecting to Wi-Fi. However, cloud-based control systems are susceptible to cyberattacks, prompting the use of blockchain cybersecurity in this study to mitigate the risks. The data sent by the supervisor is stored within a private blockchain developed using Python, simultaneously being transmitted to the cloud platform. The developed security system addresses the risks associated with cloud-based robot control systems, such as data tampering and unauthorized misuse, by leveraging the Proof of Work (PoW) and hashing mechanisms.

Muhammad Amzie Muhammad Fauzi, Mohamad Hanif Md Saad, Sallehuddin Mohamed Haris and Marizuana Mat Daud, “Secure Cloud-Connected Robot Control using Private Blockchain” International Journal of Advanced Computer Science and Applications(IJACSA), 14(11), 2023. http://dx.doi.org/10.14569/IJACSA.2023.0141116

@article{Fauzi2023,
title = {Secure Cloud-Connected Robot Control using Private Blockchain},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2023.0141116},
url = {http://dx.doi.org/10.14569/IJACSA.2023.0141116},
year = {2023},
publisher = {The Science and Information Organization},
volume = {14},
number = {11},
author = {Muhammad Amzie Muhammad Fauzi and Mohamad Hanif Md Saad and Sallehuddin Mohamed Haris and Marizuana Mat Daud}
}