@Article{jbd.2021.017299,
AUTHOR = {Weiwei Lin, Reiko Haga},
TITLE = {Design of Cybersecurity Threat Warning Model Based on Ant Colony Algorithm},
JOURNAL = {Journal on Big Data},
VOLUME = {3},
YEAR = {2021},
NUMBER = {4},
PAGES = {147--153},
URL = {http://www.techscience.com/jbd/v3n4/46034},
ISSN = {2579-0056},
ABSTRACT = { In this paper, a cybersecurity threat warning model based on ant colony 
algorithm is designed to strengthen the accuracy of the cybersecurity threat 
warning model in the warning process and optimize its algorithm structure. 
Through the ant colony algorithm structure, the local global optimal solution is 
obtained; and the cybersecurity threat warning index system is established. Next, 
the above two steps are integrated to build the cybersecurity threat warning model 
based on ant colony algorithm, and comparative experiment is also designed. The 
experimental results show that, compared with the traditional qualitative 
differential game-based cybersecurity threat warning model, the cybersecurity 
threat warning model based on ant colony algorithm has a higher correct rate in 
the warning process, and the algorithm program is simpler with higher use value.},
DOI = {10.32604/jbd.2021.017299}
}