Implementation for Malicious Software Using ChatGPT-4

被引:0
|
作者
Sugio, Nobuyuki [1 ]
Ito, Hokuto [1 ]
机构
[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.
引用
收藏
页码:234 / 243
页数:10
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