Evaluating the Impact of Conventional Code Analysis Against Large Language Models in API Vulnerability Detection-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Evaluating the Impact of Conventional Code Analysis Against Large Language Models in API Vulnerability Detection

Published:2024-06-05 Issue: Volume: Page:57-64
ISSN:
Container-title:European Interdisciplinary Cybersecurity Conference
language:
Short-container-title:

Author:

Yıldırım Recep¹^ORCID,Aydın Kerem¹^ORCID,Çetin Orçun²^ORCID

Affiliation:

1. Türkiye Sigorta, Turkey

2. Sabancı University, Turkey

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3655693.3655701

Reference19 articles.

1. Atieh Bakhshandeh, Abdalsamad Keramatfar, Amir Norouzi, and Mohammad Mahdi Chekidehkhoun. 2023. Using chatgpt as a static application security testing tool. arXiv preprint arXiv:2308.14434 (2023).

2. Saikat Chakraborty, Rahul Krishna, Yangruibo Ding, and Baishakhi Ray. 2021. Deep learning based vulnerability detection: Are we there yet. IEEE Transactions on Software Engineering (2021).

3. Sydney Coffaro. 2023. Attackers, Take the Wheel: API Vulnerabilities Found in 16 CAR Brands. https://www.threatx.com/blog/attackers-take-the-wheel-api-vulnerabilities-found-in-16-car-brands/. Last access on January 31th, 2024.

4. A C/C++ Code Vulnerability Dataset with Code Changes and CVE Summaries

5. OWASP Foundation. 2024. Source Code Analysis Tools by OWASP. https://owasp.org/www-community/Source_Code_Analysis_Tools/. Last access on: February 3rd, 2024.

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