• English
    • Tiếng Việt
  • Tiếng Việt 
    • English
    • Tiếng Việt
  • Đăng nhập
View Item 
  •   Trang chủ
  • The College of Engineering and Computer Science
  • Kok-Seng Wong, PhD
  • View Item
  •   Trang chủ
  • The College of Engineering and Computer Science
  • Kok-Seng Wong, PhD
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Adoption of IP truncation in a privacy-based decision tree pruning design: A case study in network intrusion detection system

Thumbnail
Xem/Mở
Adoption-of-IP-Truncation-in-a-PrivacyBased-Decision-Tree-Pruning-Design-A-Case-Study-in-Network-Intrusion-Detection-SystemElectronics-Switzerland.pdf (3.025Mb)
Năm xuất bản
2022-03-04
Tác giả
Chew, Yee Jian
Ooi, Shih Yin
Wong, Kok-Seng
Pang, Ying Han
Lee, Nicholas
Metadata
Hiển thị đầy đủ biểu ghi
Tóm tắt
A decision tree is a transparent model where the rules are visible and can represent the logic of classification. However, this structure might allow attackers to infer confidential information if the rules carry some sensitive information. Thus, a tree pruning methodology based on an IP truncation anonymisation scheme is proposed in this paper to prune the real IP addresses. However, the possible drawback of carelessly designed tree pruning might degrade the performance of the original tree as some information is intentionally opted out for the tree’s consideration. In this work, the 6-percent-GureKDDCup’99, full-version-GureKDDCup’99, UNSW-NB15, and CIDDS-001 datasets are used to evaluate the performance of the proposed pruning method. The results are also compared to the original unpruned tree model to observe its tolerance and trade-off. The tree model adopted in this work is the C4.5 tree. The findings from our empirical results are very encouraging and spell two main advantages: the sensitive IP addresses can be “pruned” (hidden) throughout the classification process to prevent any potential user profiling, and the number of nodes in the tree is tremendously reduced to make the rule interpretation possible while maintaining the classification accuracy.
Định danh
https://vinspace.edu.vn/handle/VIN/513
Collections
  • Kok-Seng Wong, PhD [19]

Liên hệ | Gửi phản hồi
 

 

Duyệt theo

Toàn bộ thư việnĐơn vị và Bộ sưu tậpNăm xuất bảnTác giảNhan đềChủ đềTrong Bộ sưu tậpNăm xuất bảnTác giảNhan đềChủ đề

Tài khoản

Đăng nhậpĐăng ký

Liên hệ | Gửi phản hồi