"An approach for predicting multiple-type overflow vulnerabilities based on ..."

Zhangqi Zheng et al. (2022)

> Home

Details and statistics

DOI: 10.1016/J.COSE.2021.102572

access: closed

type: Journal Article

metadata version: 2024-08-04

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/compsec/ZhengZLRZW22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/compsec/ZhengZLRZW22
Zhangqi Zheng, Bing Zhang, Yongshan Liu, Jiadong Ren, Xuyang Zhao, Qian Wang:
An approach for predicting multiple-type overflow vulnerabilities based on combination features and a time series neural network algorithm. Comput. Secur. 114: 102572 (2022)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.