skip to main content

Search for: All records

Creators/Authors contains: "Wang, Yong"

Note: When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher. Some full text articles may not yet be available without a charge during the embargo (administrative interval).
What is a DOI Number?

Some links on this page may take you to non-federal websites. Their policies may differ from this site.

  1. Free, publicly-accessible full text available December 7, 2023
  2. Free, publicly-accessible full text available November 10, 2023
  3. Abstract

    With the rapid development of the Internet of Things (IoT), network security challenges are becoming more and more complex, and the scale of intrusion attacks against the network is gradually increasing. Therefore, researchers have proposed Intrusion Detection Systems and constantly designed more effective systems to defend against attacks. One issue to consider is using limited computing power to process complex network data efficiently. In this paper, we take the AWID dataset as an example, propose an efficient data processing method to mitigate the interference caused by redundant data and design a lightweight deep learning-based model to analyze and predict the data category. Finally, we achieve an overall accuracy of 99.77% and an accuracy of 97.95% for attacks on the AWID dataset, with a detection rate of 99.98% for the injection attack. Our model has low computational overhead and a fast response time after training, ensuring the feasibility of applying to edge nodes with weak computational power in the IoT.

  4. Free, publicly-accessible full text available May 1, 2023
  5. Free, publicly-accessible full text available June 13, 2023
  6. Free, publicly-accessible full text available February 9, 2023
  7. Free, publicly-accessible full text available January 1, 2023
  8. Free, publicly-accessible full text available January 1, 2023
  9. Free, publicly-accessible full text available April 1, 2023
  10. Free, publicly-accessible full text available January 26, 2023