A model for evaluating the robustness of network covert channels based on entropy TOPSIS method
Jiajing Zhang, Bangquan Xu · 2024
The robustness of network covert channels refers to the ability of the channel to resist interference in the real network environment and the recovery ability of the channel affected by interference. Network covert channel is a double-edged sword for the security of information transmission. In order to deal with the threat of relying on network covert channel and ensure the security of information transmission, the robustness evaluation of network covert channel is essential. At present, most researches use BER (Bit Error Rate) index to evaluate the robustness of network covert channel. There are many and complex factors that affect the robustness evaluation of network covert channel. It is unreasonable and not objective to use a single index to evaluate the robustness of network covert channel. In view of the problem that the single index evaluation method can not comprehensively measure the influencing factors, this paper proposes two indicators, throughput retention rate and information transmission accuracy. And the robustness evaluation model is constructed based on the entropy TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) method to enhance the rationality and objectivity of the network covert channel robustness evaluation method. Through experiments, different network environments are set up, and data transmission is carried out on four different types of network covert channels. The single index evaluation method and the model in this paper are used to evaluate and compare the evaluation results. It is verified that the model in this paper can evaluate the robustness of network covert channels more objectively and comprehensively.