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Smart seed selection-based effective black box fuzzing for MoT protocol

机译:基于智能种子选择的MOT协议的有效黑匣子模糊

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摘要

Connections of cyber-physical system (CPS) components are gradually increasing owing to the introduction of the Industrial Internet of Things (IIoT). IIoT vulnerability analysis has become a major issue because complex skillful cyber-attacks on CPS systems exploit their zero-day vulnerabilities. However, current white box techniques for vulnerability analysis are difficult to use in real heterogeneous environments, where devices supplied by various manufacturers and diverse firmware versions are used. Therefore, we herein propose a novel protocol fuzzing test technique that can be applied in a heterogeneous environment. As seed configuration can significantly influence the test result in a black box test, we update the seed pool using test cases that travel different program paths compared to the seed. The input, output, and Delta times are used to determine if a new program area has been searched in the black box environment. We experimentally verified the effectiveness of the proposed.
机译:由于工业互联网(IIOT)的引入,网络物理系统(CPS)组件的连接逐渐增加。 IIOT漏洞分析已成为一个主要问题,因为CPS系统的复杂熟练的网络攻击利用他们的零天漏洞。但是,对于漏洞分析的当前白盒技术难以在真正的异构环境中使用,其中使用各种制造商提供的设备和各种固件版本。因此,我们在本文中提出了一种新的协议模糊测试技术,其可以应用于异质环境中。随着种子配置可以显着影响到黑匣子测试中的测试结果,我们使用与种子相比,使用旅行不同程序路径的测试用例更新种子池。输入,输出和增量次数用于确定在黑盒环境中是否已搜索了新的程序区域。我们通过实验验证了提议的有效性。

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