Published Paper Details:

The growth of Internet of Things (IoT) devices inside cyber-physical systems has brought in opportunities for technical improvements that are both encouraging and unprecedented in terms of the difficulties they provide to cybersecurity. This project intends to address the fundamental difficulties that are associated with the detection and attribution of cyberattacks within cyber-physical systems that are enabled by the Internet of Things (IoT). Increasing the capabilities of real-time detection is the key goal, and the primary objective focuses around the development and implementation of advanced algorithms and security protocols. In order to accomplish this, it is necessary to develop robust algorithms that are able to quickly recognize anomalies and potential dangers within the complex and interconnected landscape of Internet of Things environments. Additionally, the initiative will also investigate attribution, with the goal of identifying the origins of cyberattacks as well as the groups that are accountable for them. Utilizing cutting-edge technology like blockchain and forensic tools, we will investigate the possibility of establishing attribution systems that can be relied upon. By working on this project, the student hoping to earn a Bachelor of Technology degree hopes to make a significant contribution to the field of cybersecurity by developing workable solutions to strengthen cyber-physical systems that are enabled by the Internet of Things. It is predicted that the results of this research will bring to an improvement in the robustness of these systems, hence offering an increased level of protection against hostile activity. This endeavor highlights the significance of joint efforts among cybersecurity, Internet of Things, and related professionals in order to guarantee the effectiveness of complete detection and attribution tactics.