FastEmbed: Predicting vulnerability exploitation possibility based on ensemble machine learning algorithm

Author:

Fang Yong,Liu Yongcheng,Huang ChengORCID,Liu Liang

Funder

Key Research and Development Plan Project of Sichuan Province

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference59 articles.

1. C. P. Pfleeger and S. L. Pfleeger, Security in computing. Prentice Hall Professional Technical Reference, 2002.

2. Wannacry, cybersecurity and health information technology: A time to act;J. M. Ehrenfeld;Journal of medical systems,2017

3. R. B. Security, “More than 10,000 vulnerabilities disclosed so far in 2018–over 3,000 you may not know about.” https://www.riskbasedsecurity.com/2018/08/more-than-10000-vulnerabilities-disclosed-so-far-in-2018-over-3000-you-may-not-know-about/. Lasted accessed February 16, 2019.

4. M. Macdonald, R. Frank, J. Mei, and B. Monk, “Identifying digital threats in a hacker web forum,” in 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp. 926–933, IEEE, 2015.

5. L. Bilge and T. Dumitraş, “Before we knew it: an empirical study of zero-day attacks in the real world,” in Proceedings of the 2012 ACM conference on Computer and communications security, pp. 833–844, ACM, 2012.

Cited by 43 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. SQL injection attack: Detection, prioritization & prevention;Journal of Information Security and Applications;2024-09

2. Exploring Datasets In Software Vulnerability Analysis: A Review;2024 4th International Conference on Emerging Smart Technologies and Applications (eSmarTA);2024-08-06

3. A systematic review on research utilising artificial intelligence for open source intelligence (OSINT) applications;International Journal of Information Security;2024-06-05

4. A survey on machine learning techniques applied to source code;Journal of Systems and Software;2024-03

5. An extensive study of the effects of different deep learning models on code vulnerability detection in Python code;Automated Software Engineering;2024-01-31

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3