A big data technology for computer intrusion detection

Shu-guang Jin

doi:10.1117/12.2683581

26 June 2023 A big data technology for computer intrusion detection

Shu-guang Jin

Proceedings Volume 12714, International Conference on Computer Network Security and Software Engineering (CNSSE 2023); 1271409 (2023) https://doi.org/10.1117/12.2683581
Event: Third International Conference on Computer Network Security and Software Engineering (CNSSE 2023), 2023, Sanya, China

Abstract

In the computer age, the rapid development of network technology has had a profound impact on human society, and brought many conveniences to people's life, work and study. At the same time, the endless network attacks have also brought great harm to the society, not only causing great property losses to individuals and enterprises, but also seriously affecting and threatening the security of the government and the country. As an active security defense measure, intrusion detection technology can effectively prevent the harm caused by intrusion. Based on the processing and analysis methods of big data and the characteristics of intrusion detection technology, this paper puts forward the basic method and detection process of computer intrusion detection, which has certain reference significance for the research of computer intrusion detection technology.

Citation Download Citation

Shu-guang Jin "A big data technology for computer intrusion detection", Proc. SPIE 12714, International Conference on Computer Network Security and Software Engineering (CNSSE 2023), 1271409 (26 June 2023); https://doi.org/10.1117/12.2683581

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available