The Research On Secure And Reliable Service Delivery In Vehicular Ad Hoc And Wireless Sensor Networks

Vehicular Ad Hoc Networks(VANETs)and Wireless Sensor Networks(WSNs)are widely used in smart cities by providing versatile functional services,such as files,audio,video and etc.Wireless devices that randomly distributed in a network cooperate with each other to deliver service data via multi-hop routing and rate control to the destination nodes.Those multiple services have Quality of Service(QoS)requirements in reliability,fairness and throughput.In a realistic environment,due to the fundamental characteristics of wireless mediums,vehicular Ad Hoc Networks and Wireless Sensor Networks are vulnerable to a variety of attacks,failures,interferences and channel impairments,etc.Consequently,the performance of current service delivery strategies degrades significantly.Many service delivery strategies have been proposed and evaluated for countering different types of misbehaving nodes.However,most studies have following two limits: 1)most of these works only present countermeasure analysis for different types of faulty nodes and have not considered the uncertainties and dynamics of real environments;these works assume that the faulty nodes employ a constant strategy that will not change with time;2)these works focus on homogeneous traffic for traditional data services(simple text messages)rather than multi-service(health care units,traffic monitors and video surveillance).In this dissertation,we model the impact of potential dynamic attacks or malicious behaviors on network performance,and then incorporate the dynamic impact information into the problem of rate control and routine selection.We design secure and reliable multiservice delivery that are robust to attackers or misbehaving nodes.This dissertation defines the network performance degradation indices to quantitatively evaluate the performance of our strategies in security,reliability,fairness and throughout.The main work and contributions of the present thesis are as follows:(1)Rate control and multi-path routing on leaky-paths in VANETs.We investigate the optimization problem via the joint design of rate control and multi-path routing in fault-aware VANETs.We use statistical information on each wireless link to characterize the effect of faults,and develop a leaky-path model.Moreover,we use a cost function to measure the impact of fault-correlation among multi-routing paths on effective flows.Based on the leakypath model and the cost function,a fault-correlated flow control and routing(FC)2R approach is proposed to maximize the network utility associated with the effective rate.Simulation results demonstrate that higher effective network throughput,and better fairness,can be achieved by our algorithm than the standard optimal flow control in the presence of misbehaving nodes.(2)Availability-aware multiple services delivery in WSNs.We introduce an important network security concept,“availability”,into the NUM formulation(ANUM)with delay constraints,and we integrate individual sensors' availability values in the optimization framework.In order to handle multiple types of service,the performance of these services is modeled as a utility function of received rate in ANUM.Then we propose a Rate,Routing,and Delay Control(RRDC)algorithm to carry out multiservice delivery in an efficient manner,which is suitable to WSNs in respect of effective utility,latency,and utility fairness.To quantitatively evaluate the impact of unreliable sensors,we define two performance indices,utility degradation index(UDI)and utility fairness index(UFI).Simulation results show that the proposed RRDC algorithm achieves the desired performance among multiple types of service over WSNs in adversarial environments.(3)Fault activity aware city multiservice delivery in WSNs.Wireless Sensor Networks(WSNs)are increasingly used in smart cities which involve multiple city services.When misbehaving devices exist,the performance of current delivery protocols degrades significantly.Considering the misbehaviors' dynamic and time-variance in city environments,we first design a distributed framework to estimate the fault activity information based on dynamic faulty behaviors,and to incorporate these estimates into the secure city service delivery.Then we present a fault activity geographic opportunistic routing(FAGOR)algorithm which combines the direct and indirect impacts of faulty behaviors,to protect against a wide range of attacks.We develop a fault activity rate control algorithm for heterogeneous traffic to allocate resources,while guaranteeing utility fairness among multiple city services.The simulation results demonstrate that our scheme maintains the significant performance of in routing performance,effective utility,and utility fairness under malicious attacks.(4)Trust based frameworks for multiple service delivery in VANETs.We propose a trust based framework for multiple service delivery using integrated distributed measurement and centralized uploading/downloading in VANETs.We take a holistic approach of integrating vehicles' behavior monitoring and analysis by their nearby vehicles,and trustworthiness evaluation in terms of uploaded attribute parameters by the cloud.We propose methods that allow vehicles to characterize the attribute parameters of neighbors' social behaviors,such as spreading sensitive information,similarity of RSS mode,similarity of trajectory mode and etc.A multi-path selection criterion is designed to select the most reliable relay vehicle in terms of the trustworthiness evaluation.We then use trust-aware traffic allocation for multipath routing to complement secure routing and guarantee performance.The results are carried out,demonstrating our proposed framework's effectiveness in routing performance,scalability,utility gain and fairness.