FirmPot: A Framework for Intelligent-Interaction Honeypots Using Firmware of IoT Devices

Moeka Yamamoto, S. Kakei, S. Saito
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引用次数: 4

Abstract

IoT honeypots that mimic the behavior of IoT devices for threat analysis are becoming increasingly important. Existing honeypot systems use devices with a specific version of firmware installed to monitor cyber attacks. However, honeypots frequently receive requests targeting devices and firmware that are different from themselves. When honeypots return an error response to such a request, the attack is terminated, and the monitoring fails.To solve this problem, we introduce FirmPot, a framework that automatically generates intelligent-interaction honeypots using firmware. This framework has a firmware emulator optimized for honeypot generation and learns the behavior of embedded applications by using machine learning. The generated honeypots continue to interact with attackers by a mechanism that returns the best from the emulated responses to the attack request instead of an error response.We experimented on embedded web applications of wireless routers based on the open-source OpenWrt. As a result, our framework generated honeypots that mimicked the embedded web applications of eight vendors and ten different CPU architectures. Furthermore, our approach to the interaction improved the session length with attackers compared to existing ones.
FirmPot:一个使用物联网设备固件的智能交互蜜罐框架
模拟物联网设备行为以进行威胁分析的物联网蜜罐正变得越来越重要。现有的蜜罐系统使用安装了特定版本固件的设备来监控网络攻击。但是,蜜罐经常接收到针对与自身不同的设备和固件的请求。当蜜罐对这样的请求返回错误响应时,攻击终止,监视失败。为了解决这个问题,我们引入了FirmPot,一个使用固件自动生成智能交互蜜罐的框架。该框架具有针对蜜罐生成优化的固件模拟器,并通过使用机器学习来学习嵌入式应用程序的行为。生成的蜜罐通过一种机制继续与攻击者交互,该机制将模拟响应的最佳结果返回给攻击请求,而不是错误响应。我们基于开源的OpenWrt对无线路由器的嵌入式web应用进行了实验。因此,我们的框架生成了蜜罐,这些蜜罐模仿了8个供应商的嵌入式web应用程序和10种不同的CPU架构。此外,与现有的交互方法相比,我们的交互方法提高了与攻击者的会话长度。
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