Special Issue on Advances in Trust, Security and Privacy for Wireless and Mobile Networks

Abstract

The advances in wireless communication technologies and mobile devices have provided cost-effective platforms and environments for people to have better and ubiquitous interpersonal communications. The trust, security and privacy issues in such an environment have drawn significant attention recently from both academia and industry. The accepted papers in this special issue are devoted to the most recent developments and research addressing related theoretical and practical aspects on trust, security and privacy for wireless and mobile networks, and the contents are built on analytical modelling, experimental and simulation studies. The contributions of these papers are outlined below. People-centric sensing (PCS) is an emerging and promising paradigm of sensor networks, but faces severe security problems due to the strong connectivity and homogeneous applications. Lu et al. propose a novel behavioural signature generation system, called SimBehavior, to generate lightweight behavioural signature for malware detection in PCS. Unlike malware detection using behaviour graph which is NP-Complete, the proposed SimBehavior is efficient and suitable for malware detection in PCS. The experimental results show that SimBehavior can extract behavioural signatures effectively which can be used to detect new malware samples in PCS efficiently. Security and privacy protection have been the primary concerns in pushing towards the success of wireless mesh networks. In order to defend against the internal attacks and to achieve better security and privacy protection, Lin et al. propose a role based privacy-aware secure routing protocol (RPASRP), combining a new dynamic reputation mechanism with the role based multi-level security technology and a hierarchical key management protocol. Simulation results show that the proposed RPASRP implements the security and privacy