Research On Adaptive Dynamic Threshold Detection Method In AODV Blackhole

Aiming at the problem that the existing mobile ad hoc network AODV routing protocol black hole attack detection method cannot adapt to the attack model change and the network load change,this paper proposes an adaptive dynamic threshold AODV black hole attack detection method(Adaptive Dynamic Threshold Method).The method in this paper classifies the collected serial numbers to obtain a collection of suspected malicious serial numbers and normal serial numbers.The threshold value that can reflect the law of sequence number growth is calculated by the normal sequence number set,and feedback the threshold value to the classification process.The method consists of two stages.In the serial number classification processing stage,propose a double difference serial number classification method,process the set of serial numbers that need to be classified after threshold judgment.According to the difference between the malicious serial number and the normal serial number,the suspected malicious serial number and the normal serial number set are classified.In the threshold calculation phase,propose an adaptive threshold calculation method.Calculate and update threshold based on the relationship between the average value of the normal serial number increment and the current threshold.And perform black hole attack detection to get a set of malicious serial numbers.The paper conducts experimental simulations on the proposed detection method and compares it with the existing detection methods.The experimental results show that the method can adapt to changes in attack models and network load,and performs well in terms of detection rate and false detection rate.