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

页码：234 / 243

页数：10

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