Research On Spectrum Handoff And Attack Detection Algorithm Of Oil And Gas Internet Of Things

The oil and gas industry is a critical component of Chinese energy supply system and serves as a pillar industry supporting the rapid development of the national economy.Applying the Internet of Things(Io T)technology to oil and gas development can effectively improve the production and operation efficiency and economic benefits,and promote the development of oil and gas fields to digital transformation.The widespread adoption of oil and gas Io T has resulted in an exponential increase in the number of wireless devices,which in turn has caused a surge in demand for spectrum resources.However,fixed spectrum allocation policies that are intended to prevent interference with other users have led to a scarcity of available spectrum.Studies have shown that the spectrum allocated to primary users(PU)is mostly underutilized in both time and space.Cognitive radio(CR)is a promising technology that can dynamically identify underutilized spectrum resources by allowing secondary users(SU)to sense the licensed spectrum of the PU network.This allows for the provision of additional communication opportunities for users and significantly enhances the utilization of scarce spectrum resources.Thus,the implementation of CR technology can offer a viable solution to the challenge of spectrum scarcity.In the oil and gas Io T,CR is introduced to solve the dilemma of insufficient spectrum resources for equipment communication.It also brings equipment spectrum handoff delay and spectrum sensing data falsification(SSDF)attacks of malicious users,which affects the normal operation of the oil and gas Io T.Therefore,spectrum handoff and SSDF attack detection are the research hotspots of the oil and gas Io T.This article mainly studies spectrum handoff and malicious SSDF attacks.The main contents and innovations are as follows:(1)To solve the spectrum handoff problem of the oil and gas Io T devices,a hybrid spectrum handoff algorithm based on Genetic Algorithm(GA)is proposed.The algorithm considers the regularity of PU activities in space and time,defines the idle probability of channels from the perspective of week attributes and time periods,obtains the optimal time period length using GA,generates a channel idle probability table,and provides the target channel sequence for communication equipments in combination with the proposed channel ordering scheme.Simulation results show that the proposed algorithm can effectively reduce the communication interruption rate,achieve fast spectrum switching,and improve the communication real-time performance.(2)In order to deal with this security threat of malicious user SSDF attacks in the oil and gas Io T systems,a SSDF defense algorithm based on fog computing is proposed.The proposed algorithm adopts fog computing architecture.Fusion center(FC)performs Mean-shift clustering and data evaluation on the sensing data sent by the oil and gas Io T devices to allocate appropriate weights,so as to obtain more appropriate fusion energy and achieve the goal of accurately detecting the presence of PUs.Simulation results show that in constant attack,probabilistic attack,and hybrid attack scenarios,the defense algorithm proposed in this paper has a higher detection probability compared to other algorithms,and can effectively resist SSDF malicious attacks.