Researches On Wireless Jamming Strategy Toward Cyber-Physical Systems

Cyber-physical system(CPS)integrating information space,communication network and physical space,provides a considerable support to accelerate the realization of information and industrialization in intelligent manufacturing.Recently,the investigate about the CPS has attracted wide attention from academia and industry,due to its potential application in smart grid,UAV,intelligent factory,and so on.In CPS,communication technique plays an important role in the integration of information system and physical system,and generally wireless communication technology is utilized in CPS because of its flexible configuration and low cost.The existence of wireless channels makes CPS vulnerable to the jamming attack that can result in different degrees of damage through different attack methods,because of its broadcast nature.To guarantee the reliability of CPS,this dissertation focuses on the issue of CPS security.Taking anti-jamming measures to guarantee the reliability of CPS in real time necessitates comprehending the action of attacker.Therefore,this dissertation focuses on the design of attack schedules from the perspective of energy-constrained attacker,based on the characteristic of multiple channel,flexible relay configuration and cognitive ability in the wireless network,in terms of the remote state estimation and control in CPS.The main researches of this dissertation are summarized as follows.Firstly,the second chapter of this dissertation discusses the problem of maximizing the attack effect in CPS for the remote state estimation over the multiple channel.For the attacker launching the Denial-of-Service(DoS)attack,this chapter investigates the problem of how to make an optimal trade-off between the attack number and the channel number attacked at each time.Through formulating the trade-off problem as the integer programming problem,the chapter provides the corresponding algorithms for the scenario under which the number of channels at each attack time is identical,and the scenario under which the number of channel at each attack time can be unequal,where the attack performance is measured by the average estimation error.Moreover,this chapter considers the problem of selecting the channel sequence,when the attacker transmits observation data to the remote estimator through the channel changing dynamically.An algorithm used to select the best channel at current time is proposed,by establishing the problem of channel sequence selection based on the on-line learning method.The third chapter of this dissertation considers the problem of maximizing the attack effect for the remote state estimation with the two-hop relay network,when the energyconstrained sensor has no the ability to transmit the observation data to the remote estimator directly.Specifically,considering that the existence of the relay complexes the topology structure of the wireless network,and the attack effect is affected by the quantity of channels at different nodes,the chapter investigates the problem of how to select the limited number of channels for the energy-constrained attacker with the DoS attack to maximize the attack effect.Furthermore,the problem of dispatching the limited energy at each attack time is also considered.By establishing the mixed integer programming problem for the joint of channel selection and the energy dispatch,this chapters presents the corresponding algorithms for the case of using the same energy at each attack time and the case of using different energy at each attack time.Lastly,the fourth chapter of this dissertation considers the problem of designing the optimal attack schedule,when the estimator and the controller jointly make the system state under the optimal control.This chapter proposes an algorithm for the energyconstrained attacker with DoS attack,by formulating the problem of maximizing the Linear Quadratic Gaussian(LQG)control cost function as the corresponding integer programming problem,where the attack effect is measured by the LQG control cost function.Furthermore,this chapter also considers the problem of maximizing the attack effect,when the sensor equipped with the multi-radio interface,and transmits the observation data using multiple channels at each time.An algorithm for the case of multi-radio interface is provided to derive the attack schedule,by analysing the relationship between the dropout rate and the number of channels attacked at each time.