Network distributed information assets detection method based on Artificial Intelligence. Issue 1 (January 2021)
- Record Type:
- Journal Article
- Title:
- Network distributed information assets detection method based on Artificial Intelligence. Issue 1 (January 2021)
- Main Title:
- Network distributed information assets detection method based on Artificial Intelligence
- Authors:
- Chen, Ze
Liu, Weina
Xi, Bo
Guo, Yuling - Abstract:
- Abstract: 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.
- Is Part Of:
- IOP conference series. Volume 645:Issue 1(2021)
- Journal:
- IOP conference series
- Issue:
- Volume 645:Issue 1(2021)
- Issue Display:
- Volume 645, Issue 1 (2021)
- Year:
- 2021
- Volume:
- 645
- Issue:
- 1
- Issue Sort Value:
- 2021-0645-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-01
- Subjects:
- Earth sciences -- Periodicals
Environmental sciences -- Congresses
Environmental sciences -- Periodicals
550.5 - Journal URLs:
- http://iopscience.iop.org/1755-1315 ↗
http://ioppublishing.org/ ↗ - DOI:
- 10.1088/1755-1315/645/1/012006 ↗
- Languages:
- English
- ISSNs:
- 1755-1307
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4565.243000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25456.xml