Huraj Ladislav, Šimon Marek, Lietava Jakub
Institute of Computer Technologies and Informatics, University of Ss. Cyril and Methodius in Trnava, 91701 Trnava, Slovak Republic.
Data Brief. 2024 Oct 3;57:110991. doi: 10.1016/j.dib.2024.110991. eCollection 2024 Dec.
DDoS attacks pose a significant security risk to smart homes and can disrupt the functionality and availability of connected devices in the home. This dataset documents Distributed Denial of Service (DDoS) attacks against the Fibaro Home Center 3 central control unit, which is used to automate smart homes within the Internet of Things. The focus is on three types of DDoS attacks: TCP SYN flood, ICMP flood and HTTP flood. Data collection was performed on the local network, where SYN flood and ICMP flood attacks were performed using the hping3 tool, and HTTP flood attack was performed using the LOIC tool. The data was captured using Wireshark software and is available in PCAP and CSV formats, allowing detailed analysis of the network traffic. The logs include information such as timestamps, source and destination IP addresses, protocols, packet lengths, and port numbers. The dataset includes raw and anonymized data for each type of attack. The dataset is a resource for researchers focused on cybersecurity and IoT device protection. It allows simulation and analysis of DDoS attacks on a specific IoT device, providing insight into attack patterns and the effectiveness of defenses. The simplicity and specialization of the dataset makes it a practical resource for developing and testing intrusion detection systems and predictive models to mitigate and prevent DDoS attacks. The use of the PCAP format facilitates the import of the data into various research software platforms.
分布式拒绝服务(DDoS)攻击对智能家居构成了重大安全风险,可能会扰乱家中连接设备的功能和可用性。本数据集记录了针对Fibaro家庭中心3中央控制单元的分布式拒绝服务(DDoS)攻击,该控制单元用于实现物联网中的智能家居自动化。重点关注三种类型的DDoS攻击:TCP SYN洪水攻击、ICMP洪水攻击和HTTP洪水攻击。数据收集在本地网络上进行,其中使用hping3工具执行SYN洪水攻击和ICMP洪水攻击,使用LOIC工具执行HTTP洪水攻击。数据使用Wireshark软件捕获,以PCAP和CSV格式提供,允许对网络流量进行详细分析。日志包括时间戳、源IP地址和目标IP地址、协议、数据包长度和端口号等信息。该数据集包括每种攻击类型的原始数据和匿名数据。该数据集是专注于网络安全和物联网设备保护的研究人员的资源。它允许对特定物联网设备上的DDoS攻击进行模拟和分析,深入了解攻击模式和防御效果。该数据集的简单性和专业性使其成为开发和测试入侵检测系统及预测模型以减轻和预防DDoS攻击的实用资源。PCAP格式的使用便于将数据导入各种研究软件平台。