开发一个全面的BACnet攻击数据集:在建筑自动化系统中提高网络安全的一步
Seyed Amirhossein Moosavi1, Mojtaba Asgari1, Seyed Reza Kamel1
1Department of Computer Engineering, Mashhad Branch, Islamic Azad University, Mashhad, Iran.
Data in brief
|December 31, 2024
概括
本研究引入了一种新的框架,用于为智能建筑网络安全生成现实的BACnet网络流量数据集. 该方法模拟真实世界的条件,使入侵检测系统 (IDS) 和入侵预防系统 (IPS) 的更好开发成为可能.
科学领域:
- 智能建筑中的网络安全
- 网络流量分析 网络流量分析
- 建设自动化和控制网络
背景情况:
- 智能建筑面临越来越多的网络攻击风险,特别是针对建筑自动化和控制 (BAC) 系统.
- BACnet协议在智能建筑中广泛使用,特别是用于HVAC系统,使其成为关键目标.
- 开发有效的入侵检测 (IDS) 和预防 (IPS) 系统需要现实的正常和攻击流量的数据集,这些数据集通常由于机密性而无法获得.
研究的目的:
- 提出一个框架,用于生成现实的BACnet网络流量数据集.
- 为解决网络安全研究的真实世界BACnet流量数据的稀缺问题.
- 创建一个准确反映真实网络行为的数据集,用于训练机器学习模型.
主要方法:
- 开发了一个框架,将现有的真实数据集转换为BACnet协议网络流量.
- 为控制器设置虚拟机,模拟真实场景,注入历史数据.
- 模拟了三种类型的攻击 (伪造,修改,隐藏通道),隐藏通道使用纯文本,SHA3-256和AES-256.
- 网络流量使用Wireshark以pcap格式捕获.
主要成果:
- 创建了一个新的BACnet网络流量的数据集,模仿真实世界的条件.
- 由于使用实际数据,生成的数据表现出现实的行为.
- 该框架成功模拟了BACnet网络上的各种网络攻击.
结论:
- 拟议的框架提供了一个可行的解决方案,用于创建现实的网络安全的BACnet数据集.
- 这种方法有助于开发和测试用于智能建筑的更强大的IDS/IPS.
- 生成的数据集增强了训练机器学习模型的能力,以检测BACnet网络中的异常并防止攻击.
关键词:
攻击检测检测攻击检测在BACnet中,我们可以使用BACnet.在BMS中,BMS就是BMS.建筑物管理系统 建筑物管理系统在CPS中,使用CPS是非常重要的.网络物理系统 网络物理系统网络安全 网络安全这是一个 SCADA 系统.更多相关视频
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