An Immune-Based Real-Time Quantitative Detection for Threat Change of Cyberspace Digital Virtual Assets

Traditional attribute-based identification and protection, and based on game theory, advanced encryption and secret sharing are difficult to guarantee the security of virtual assets, a more comprehensive and in-depth study in the security threat to the asset carriers and trading networks is urgently needed. This paper simulates the mechanism of the human immune system “synchronous dynamic evolution of antibody concentration with invasion virus”, a real-time quantitative detection for threat change of digital virtual assets in cyberspace based on immunity is proposed. Firstly, the concentration of antibodies in the immune system was calculated and analyzed theoretically. Then, the attack harmfulness of digital virtual assets is quantified. Finally, the risk value of digital virtual assets against each type of attack and the overall risk value of digital virtual assets are obtained. This method can detect the threat of virtual assets in time and accurately, and lay a foundation for the protection of digital virtual assets in cyberspace. At the same time, the experimental results also show that when the illegal operation of digital virtual assets occurs, it can reflect the current virtual assets threat changes in a timely and accurate manner.