Open AccessNetwork distributed information assets detection method based on Artificial Intelligence
Author(s) -
Ze Chen,
Weina Liu,
Bo Xi,
Yuling Guo
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/645/1/012006
Subject(s) - computer science , data mining , artificial neural network , scale (ratio) , artificial intelligence , quantum mechanics , physics
Proposes a network distributed information assets detection method based on artificial intelligence. Through mining the characteristics of network distributed information assets, scanning information assets in depth, detecting assets, summarizing the characteristics of information assets, and optimizing the depth scanning mode of network information assets, the research goal of rapid and accurate detection of network distributed information assets is realized. The simulation results show that the proposed network distributed information assets detection method based on artificial intelligence has faster detection speed and higher detection accuracy, so as to meet the requirements of large-scale information detection and solve more complex problems.