[1] Hokkaido Univ Sci, Sapporo, Hokkaido 0068585, Japan
来源:
ADVANCES IN INFORMATION AND COMPUTER SECURITY, IWSEC 2024
|
2024年
/
14977卷
关键词:
Large language models (LLMs);
ChatGPT;
Malicious software;
Implementation;
D O I:
10.1007/978-981-97-7737-2_13
中图分类号:
TP31 [计算机软件];
学科分类号:
081202 ;
0835 ;
摘要:
Large language models, including ChatGPT, have become widely available and have been used in various fields. This study attempts to create malicious software using ChatGPT-4 with minimal coding effort to demonstrate that they can be created even by non-expert security professionals. We also show whether obfuscating the source code of the created malicious software can reduce the malware detection rates by security analysis tools.
机构:
Keio Univ, Div Clin Pharm, Fac Pharm, 1-5-30 Shibakoen,Minato Ku, Tokyo 1058512, JapanKeio Univ, Div Clin Pharm, Fac Pharm, 1-5-30 Shibakoen,Minato Ku, Tokyo 1058512, Japan
Kiyomiya, Keisuke
Aomori, Tohru
论文数: 0引用数: 0
h-index: 0
机构:
Takasaki Univ Hlth & Welf, Takasaki, JapanKeio Univ, Div Clin Pharm, Fac Pharm, 1-5-30 Shibakoen,Minato Ku, Tokyo 1058512, Japan