The Internet-of-Things (IoT) is rapidly becoming ubiquitous. However the heterogeneous nature of devices and protocols in use, the sensitivity of the data contained within, as well as the legal and privacy issues, make security for the IoT a growing research priority and industry concern. With many security practices being unsuitable due to their resource intensive nature, it is deemed important to include second line defences into IoT networks. These systems will also need to be assessed for their efficacy in a variety of different network types and protocols. To shed light on these issues, this paper is concerned with advancements in intrusion detection practices in IoT. It provides a comprehensive review of current Intrusion Detection Systems (IDS) for IoT technologies, focusing on architecture types. A proposal for future directions in IoT based IDS are then presented and evaluated. We show how traditional practices are unsuitable due to their inherent features providing poor coverage of the IoT domain. In order to develop a secure, robust and optimised solution for these networks, the current research for intrusion detection in IoT will need to move in a different direction. An example of which is proposed in order to illustrate how malicious nodes might be passively detected.

Extending the coverage area of mobile cloud computing services will allow new services to be provisioned to the mobile users. The main obstacle for achieving this goal is related to the deployments challenges and limitations of the Cloudlets system. Mobile Edge Computing (MEC) system emerged recently providing an opportunity to fill the gap of the Cloudlets system by providing resources-rich computing resources with proximity to the end users. In this paper, we are proposing a hierarchical model that is composed of MEC servers and Cloudlets infrastructures. The objective of the proposed model is to increase the coverage area for the mobile users in which the users can accomplish their requested services with minimal costs in terms of power and delay. An extensive experimental evaluation is conducted showing the superiority of the proposed model.