It is predicted that, the number of connected Internet of Things (IoT) devices will rise to 38.6 billion by 2025 and an estimated 50 billion by 2030. The increased deployment of IoT devices into diverse areas of our life has provided us with significant benefits such as improved quality of life and task automation. However, each time a new IoT device is deployed, new and unique security threats emerge or are introduced into the environment under which the device must operate. Instantaneous detection and mitigation of every security threat introduced by different IoT devices deployed can be very challenging. This is because many of the IoT devices are manufactured with no consideration of their security implications. In this paper therefore, we review existing literature and present IoT threat detection research advances with a focus on the various IoT security challenges as well as the current developments towards combating cyber security threats in IoT networks. However, this paper also highlights several future research directions in the IoT domain.

One of the main challenges associated with e-government adoption is lack of security. Thus, the aim of this research is to investigate the role of security in e-government adoption by integrating security, trust and privacy with the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). In addition, this research will also investigate the factors that influence the end users’ perception of e-government security. Thus, the research starts with a qualitative study to investigate security antecedents, and this is followed by a quantitative study to validate the qualitative study and determine the role of security in e-government adoption. Data from 625 Saudi citizens were gathered and used in the model assessment. The findings show that user interface quality, security culture and cybersecurity law positively affect security perception. In addition, security perception was found to have a strong effect on trust. Trust is ranked as the third most critical factor affecting behaviour intention after performance expectance and habit. The results make a significant contribution to academic research and have practical implications regarding understanding the role of security in e-government adoption and the factors that affect end users’ perception in e-government security.

There has been an increasing prevalence of ad-hoc networks for various purposes and applications. These include Low Power Wide Area Networks (LPWAN) and Wireless Body Area Networks (WBAN) which have emerging applications in health monitoring as well as user location tracking in emergency settings. Further applications can include real-time actuation of IoT equipment, and activation of emergency alarms through the inference of a user’s situation using sensors and personal devices through a LPWAN. This has potential benefits for military networks and applications regarding the health of soldiers and field personnel during a mission. Due to the wireless nature of ad-hoc network devices, it is crucial to conserve battery power for sensors and equipment which transmit data to a central server. An inference system can be applied to devices to reduce data size for transfer and subsequently reduce battery consumption, however this could result in compromising accuracy. This paper presents a framework for secure automated messaging and data fusion as a solution to address the challenges of requiring data size reduction whilst maintaining a satisfactory accuracy rate. A Multilayer Inference System (MIS) was used to conserve the battery power of devices such as wearables and sensor devices. The results for this system showed a data reduction of 97.9% whilst maintaining satisfactory accuracy against existing single layer inference methods. Authentication accuracy can be further enhanced with additional biometrics and health data information.

Information systems security is a critical issue for all organisations with a significant dependence upon information technology. However, it is a requirement that is often difficult to address, particularly within small organisations, as a result of a lack of resources and expertise. This paper identifies the need for security awareness and describes the prototype implementation of a software tool that enables individuals to pursue self‐paced security training. The tool provides an environment that permits the user to simulate the introduction of security into a number of pre‐defined case study scenarios. This enables staff to become familiar with the types of countermeasures available, the situations in which they are appropriate and any constraints that they may impose. This would be particularly valuable in small organisations where specialist knowledge is often scarce and issues need to be addressed by existing staff.