Benchmarking LLM for Zero-day Vulnerabilities

被引：0

作者：

Lisha, M. ^{[1
]}

Agarwal, Vedika ^{[2
]}

Kamthania, Supriya ^{[2
]}

Vutkur, Pranav ^{[1
]}

Chari, Madhusoodhana S. ^{[3
]}

机构：

[1] Hewlett Packard Enterprise, Cloud Modules, Bengaluru, India

[2] Hewlett Packard Enterprise, Ezmeral R&D, Bengaluru, India

[3] Hewlett Packard Enterprise, Aruba Switching SW, Bengaluru, India

来源：

10TH INTERNATIONAL CONFERENCE ON ELECTRONICS, COMPUTING AND COMMUNICATION TECHNOLOGIES, CONECCT 2024 | 2024年

关键词：

security; LLM; zero-day; vulnerability;

D O I：

10.1109/CONECCT62155.2024.10677338

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Large Language Models (LLMs) have emerged as powerful tools for natural language processing tasks. This paper investigates the efficacy of various LLMs in detecting zero-day vulnerabilities, crucial for preemptive cybersecurity measures. Through benchmarking and experimentation, we analyze the performance of LLMs in unstructured querying scenarios. Our findings aim to enhance understanding of LLM capabilities and contribute to the advancement of vulnerability detection methodologies.

引用

页数：6

共 50 条

[31] Defence against the dark art of zero-day attacks
Madou M.
Network Security, 2022, 2022 (11)
[32] Zero-Day Exploits Framework of Supply Chain Networks
Khandelwal, Abhi
Mahato, Dharmendra Prasad
ADVANCED NETWORK TECHNOLOGIES AND INTELLIGENT COMPUTING, ANTIC 2023, PT I, 2024, 2090 : 319 - 335
[33] Detecting and Analyzing Zero-day Attacks using Honeypots
Musca, Constantin
Mirica, Emma
Deaconescu, Razvan
19TH INTERNATIONAL CONFERENCE ON CONTROL SYSTEMS AND COMPUTER SCIENCE (CSCS 2013), 2013, : 543 - 548
[34] Big Data Framework for Zero-Day Malware Detection
Gupta, Deepak
Rani, Rinkle
CYBERNETICS AND SYSTEMS, 2018, 49 (02) : 103 - 121
[35] A Hybrid Detection Approach For Zero-day Polymorphic Shellcodes
Chen Ting
Zhang Xiaosong
Liu Zhi
2009 INTERNATIONAL CONFERENCE ON E-BUSINESS AND INFORMATION SYSTEM SECURITY, VOLS 1 AND 2, 2009, : 45 - 49
[36] Distributed Detection of Zero-Day Network Traffic Flows
Miao, Yuantian
Pan, Lei
Rajasegarar, Sutharshan
Zhang, Jun
Leckie, Christopher
Xiang, Yang
DATA MINING, AUSDM 2017, 2018, 845 : 173 - 191
[37] Zero-day attack detection: a systematic literature review
Ahmad, Rasheed
Alsmadi, Izzat
Alhamdani, Wasim
Tawalbeh, Lo'ai
ARTIFICIAL INTELLIGENCE REVIEW, 2023, 56 (10) : 10733 - 10811
[38] ZEKI: unsupervised zero-day exploit kit intelligence
Suren, Emre
TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, 2020, 28 (04) : 1859 - 1870
[39] Zero-day recovery: the key to mitigating the ransomware threat
Fagioli A.
Computer Fraud and Security, 2019, 2019 (01): : 6 - 9
[40] Zero-day Virus Transmission Model and Stability Analysis
Meng Qingwei
Qiu Minyang
Wang Gang
Ma Runnian
JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY, 2021, 43 (07) : 1849 - 1855

← 1 2 3 4 5 →