Centre for Computer Networking and Cyber Security (CCNCS)

Under this project, Computer Networking Group is designing and implementing an industry grade research network infrastructure that interconnects various research facilities in the main campus and branches to provide support for Smart Campus and Industry 4.0 applications, various industrial projects development. With the setup of this infrastrcture, students and researchers are given the opportunity to participate in these initiatives which will provide them valuable hands-on experience and make their learning experience a truly holistic education. 

Industry 4.0 is focusing on the digital vertical integration of the manufacturing industry. However, the management of data across different verticals (horizontal integration) is also important in order to unleash the value of data held by companies for data economy. To enable secure data sharing, designing and constructing an infrastructure for secure data exchange is imperative. This project involves designing and constructing a framework that allows secure and trusted data sharing while ensuring data interoperability and maintaining data sovereignty for data owners. 

Fog computing is one of the vital and potential solutions for Internet of Things in close connection with things and end users. Due to the heterogeneous and distributed characteristics, finely distribute the task with computation offloading is a challenging task. Besides, developing an efficient QoE-aware application mapping policy is also challenging due to the different user interests. Other than that, the energy consumption would usually increase after such algorithm and policy are implemented. This research aims to propose a solution which is able to improve the performance in terms of execution time and network usage as well as keeping the energy consumption at an optimal level. 

The scope of the LoRa project is to transmit data collected by sensors in a plantation and transmits the data to the cloud. This project uses a node with a soil moisture sensor, temperature sensor, humidity sensor and a Night Vision Pi Camera that collect data directly from a plant, and then transmit the sensor data to the LoRa gateway which can convert the data to a readable format and further transmit the data to a cloud. Other IOT devices used include Raspberry Pi 4B, IoT Lora Raspberry PHat and LoRa gateway. The system provides a user-friendly GUI to alter the value of the threshold for each of the sensor (e.g. max/min of temperature) and allows to update the time interval for every sensor on any platform whenever connected to the Internet. The GUI provides visualization for the user, and allows the user to view the notification or warning if the threshold is met. With this information, the plantation owner can have firsthand information about their crops and make the right decision for their crops.