An intrusion detection method combining Bayesian optimization and LightGBM

Dongyuan Xu; Bin Hua

doi:10.1117/12.3011542

7 December 2023 An intrusion detection method combining Bayesian optimization and LightGBM

Dongyuan Xu, Bin Hua

Author Affiliations +

Proceedings Volume 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023); 129413N (2023) https://doi.org/10.1117/12.3011542
Event: Third International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 203), 2023, Yinchuan, China

Abstract

Network is a double-edged sword, which brings great convenience and some risks at the same time. Then intrusion detection, as a proactive and defensive technical means, plays a very important role in protecting information systems. Traditional intrusion detection systems have the problems of low detection accuracy and poor real-time performance, while the existing network intrusion detection data is not balanced, so this paper proposes an adaptive synthesis algorithm (ADASYN) oversampling and class balancing data balancing algorithm and an intrusion detection method of LightGBM combined with Bayesian optimization algorithm, aiming to solve the above problems. First, data preprocessing we encode the data with labels as well as unique heat encoding to better pass into the model for processing, after that we increase a few classes of data by ADASYN oversampling to make the number of samples in each class relatively balanced, and finally the features are passed into LightGBM for learning and training, and finally validated in the NSL-KDD dataset for multi-class classification experiments, and the results show that compared with other traditional algorithms, all data are improved and show better performance.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Dongyuan Xu and Bin Hua "An intrusion detection method combining Bayesian optimization and LightGBM", Proc. SPIE 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), 129413N (7 December 2023); https://doi.org/10.1117/12.3011542

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