CẢI TIẾN PHÁT HIỆN TẤN CÔNG SỬ DỤNG VĂN PHẠM NỐI CÂY TRONG LẬP TRÌNH GEN

Nowadays, the problem of network security has become urgent and affect the performance of modern computer networks greatly. Detection and prevention of network attacks have been the main topic of many researchers in the World. One of the safety measures for networks is using the intrusion detection...

Mô tả đầy đủ

Đã lưu trong:
Chi tiết về thư mục
Những tác giả chính: Vũ, Văn Cảnh, Hoàng, Tuấn Hảo, Nguyễn, Văn Hoàn
Định dạng: Bài viết
Ngôn ngữ:Vietnamese
Được phát hành: Trường Đại học Đà Lạt 2023
Truy cập trực tuyến:https://tckh.dlu.edu.vn/index.php/tckhdhdl/article/view/339
https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/114255
Các nhãn: Thêm thẻ
Không có thẻ, Là người đầu tiên thẻ bản ghi này!
Thư viện lưu trữ: Thư viện Trường Đại học Đà Lạt
Miêu tả
Tóm tắt:Nowadays, the problem of network security has become urgent and affect the performance of modern computer networks greatly. Detection and prevention of network attacks have been the main topic of many researchers in the World. One of the safety measures for networks is using the intrusion detection systems. However, these measures are costly, ineffective, unreliable and can-not detect new or unknown attacks. Some studies using machine learning technology have been applied in intrusion detection. In our work, we proposed using Genetic Programming (GP) to improve intrusion detection. In the experiments, we used GP and Tree Adjoining Grammar Guided Genetic Programming (TAG3P) on artifical datasets suggested by Pham, Nguyen, and Nguyen (2014). Compared with previous results, we found that GP and TAG3P are more effective in detecting attacks than previous measures.