A security-aware safety management framework for IoT-integrated bikes

Bike and vehicle collisions often result in fatality to vulnerable bikers. Use of technologies can protect such vulnerable road users. Next generation smart bikes with sensing, computing and communication capabilities or bikes with bikers' smartphones have the potential to be integrated in an Internet of Things (IoT) environment. Unlike avoidance of inter-vehicle collisions, very limited efforts are made on IoT-integrated bikes and vehicles to avoid bike-vehicle collisions and offer bikers' safety. Moreover, these IoT-integrated bikes and vehicles will create new and different information and cyber security risks that could make existing safety solutions ineffective. To exploit the potential of IoT in an effective way, especially in bikers' safety, this work proposes a security-aware bikers' safety management framework that integrates a misbehavior detection scheme (MDS) and a collision prediction and detection scheme (CPD). The MDS, in particular for vehicles (as vehicles are mainly responsible for most bike-vehicle collisions) provides security-awareness to the framework using in-vehicle security checking and vehicles' mobility-patterns-based misbehavior detection. The MDS also includes in-vehicle driver's behavior monitoring to identify potential misbehaving drivers. The framework's MDS and the CPD relies on the improved versions of some existing solutions. Use cases of the framework demonstrates its potential in providing bikers safety.