Optimal Security Adaptation in Proximity-Based Wireless Networks

Nowadays, the number of wireless networks available is increasing dramatically throughout the world, mainly in cities (airports, train stations and hotels). However, mobile wireless connections are still risky and the performance varies a great deal depending on the different nearby networks connections. For example, new soft Access Points (AP) may easily spoof the identity of another AP and thus compromise the privacy or the power consumption of users' mobiles. This paper presents an Optimal Security Adaptation Proximity-based wireless network (OSAP) taking into account the published security value of each user and accessed APs. Moreover, this autonomous security configuration can be adapted dynamically during runtime depending on the security parameters. We have analyzed the network utilization and power consumption of mobile devices in the case of Geneva Hotspot AP locations. We have validated our proposed solution for resourceconstrained devices through simulation based on a dynamic simulation tool called AnyLogic. The result shows that OSAP is optimal in terms of overall network utilization and power consumption.