Research On Power Communication Bandwidth Prediction And Network Attack Correlation Analysis In Smart Parks

As the country puts forward the strategic goal of building an energy Internet with the power system as the core,multiple energy forms are connected to the traditional power system,and new-generation information technologies such as cloud computing,big data,Internet of Vehicles,and artificial intelligence are gradually applied to the construction of energy systems.During the operation,in order to promote the construction of the energy Internet,the smart park incubated with the power grid as an important hub,as an important physical carrier of the energy Internet,is in full swing for pilot construction.In the process of construction and operation of smart parks,it is necessary to implement organic coordination and optimization between the power generation,transmission,distribution,storage,and consumption of various energy sources,so as to achieve more effective intelligent interaction and power communication among various energy sources.As a bridge carrying the communication services of the entire smart park system,the network plays a vital role in the safe and stable operation of the smart park.Reasonable power communication bandwidth resource planning,avoiding redundancy and waste of communication network resources,and ensuring the quality of service requirements for communication services in the smart park system are the guarantee for the smart park to achieve comprehensive perception and intelligent operation.At the same time,with the continuous improvement of the Internet’s ability to support industrial control systems,the degree of interaction has become increasingly frequent,and network attacks against industrial control systems have continued to occur in recent years.The network inside the smart park is caused by the misoperation of operation and maintenance personnel and the illegal outreach of equipment.The threat of attack greatly reduces the security of the industrial control system in the smart park.In summary,it is of great research significance and application value to study the correlation analysis of power communication bandwidth prediction and network attack for smart parks.This paper mainly conducts related research on the correlation analysis of power communication bandwidth prediction and network attack in the context of smart parks.First of all,a systematic analysis is carried out on the communication business requirements of smart distribution and electricity consumption and the existing network security protection system in the context of smart parks.Secondly,the communication bandwidth prediction technology of intelligent power distribution and consumption business based on queuing system theory is proposed.Finally,a network attack correlation analysis and network attack protection strategy for smart campus industrial control system are constructed.Specifically,the main research work of the paper is as follows:(1)The typical business scenarios in the smart park system are analyzed.Introduce parameters such as delay,packet loss rate,and bandwidth utilization to quantitatively evaluate the communication needs of the multi-interaction of massive intelligent terminals in the park.Analyze the existing network security protection system in the smart campus system,and summarize the attack scenarios and abnormal manifestations of network attack threats.(2)Analyze the process of various business communication data packets in the communication system to form a mixed queue for processing and forwarding and the characteristics of the smart park communication service convergence flow,establish a mixed service convergence flow queuing model,and calculate the mixed service arrival rate.A buffer active management mechanism is proposed,combined with the queuing theory model theory,the performance parameters of the queuing system are mapped with the communication service quality indicators,and a bandwidth prediction model for intelligent power distribution and communication services is established.(3)A network attack abnormal event association rule analysis technology based on FP-growth algorithm is proposed,which greatly improves the efficiency of offline training of association rules,and uses gray correlation analysis algorithm to realize online matching between abnormal events and association rules,and accurately identify network attack scenarios.According to the link corresponding to the matching attack scenario,a network attack protection strategy is proposed,and the corresponding attack protection technology is applied to carry out attack defense protection to eliminate the impact of the attack.