Computer networks in organisations today have different layers of connections, which are either domain connections or external connections. The hybrid network contains the standard domain connections, cloud base connections, “bring your own device” (BYOD) connections, together with the devices and network connections of the Internet of Things (IoT). All these technologies will need to be incorporated in the Oman Vision 2040 strategy, which will involve changing several cities to smart cities. To implement this strategy artificial intelligence, cloud computing, BYOD and IoT will be adopted. This research will focus on the adoption of BYOD in the Oman context. It will have advantages for organisations, such as increasing productivity and reducing costs. However, these benefits come with security risks and privacy concerns, the users being the main contributors of these risks. The aim of this research is to develop a risk management and security framework for the BYOD environment to minimise these risks. The proposed framework is designed to detect and predict the risks by the use of MDM event logs and function logs. The chosen methodology is a combination of both qualitative and quantitative approaches, known as a mixed-methods approach. The approach adopted in this research will identify the latest threats and risks experienced in BYOD environments. This research also investigates the level of user-awareness of BYOD security methods. The proposed framework will enhance the current techniques for risk management by improving risk detection and prediction of threats, as well as, enabling BYOD risk management systems to generate notifications and recommendations of possible preventive/mitigation actions to deal with them
