密码:网络安全智能透测试助手为道德研究人员.
Derry Pratama1, Naufal Suryanto2, Andro Aprila Adiputra1
1School of Computer Science and Engineering, Pusan National University, Busan 46241, Republic of Korea.
Sensors (Basel, Switzerland)
|November 9, 2024
概括
伦理研究人员的网络安全智能透测试助手 (CIPHER) 是一个专门的AI聊天机器人,协助透测试. CIPHER的性能优于较大的模型,证明了在网络安全中需要特定领域的人工智能.
科学领域:
- 网络安全 网络安全
- 人工智能的人工智能
- 透测试 透测试 透测试
背景情况:
- 透测试是耗时的,需要专门的知识.
- 初学者经常需要专家指导,以有效发现漏洞.
- 现有的人工智能模型缺乏针对网络安全任务的特定领域培训.
研究的目的:
- 开发一个专门的AI聊天机器人CIPHER,用于透测试协助.
- 在透测试中创建一个新的评估AI的基准.
- 解决网络安全中一般的大型语言模型的局限性.
主要方法:
- 在300多个透测试写作和工具文档中训练有素的CIPHER.
- 介绍了发现,行动,推理和结果 (FARR) 流量增强用于自动化模拟.
- 建立了评估AI技术知识和在pentesting中的推理的基准.
主要成果:
- 在提供准确的透测试建议方面,CIPHER表现出卓越的性能.
- 性能优于类似尺寸的开源模型和更大的最先进模型,如Llama 3 70B.
- 强调了一般的LLM对于有效的透测试指南的不足.
结论:
- 像CIPHER这样的专门AI模型对于推进透测试至关重要.
- 增强FARR流提供了一个强大的AI评估的基准.
- 建议对AI在网络安全中的扩展和基准开发进行进一步的研究.
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