{"title":"用于智能家居安全的 Fibaro home center 3 的 DDoS 攻击数据集","authors":"Ladislav Huraj, Marek Šimon, Jakub Lietava","doi":"10.1016/j.dib.2024.110991","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div><div>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.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":null,"pages":null},"PeriodicalIF":1.0000,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dataset of DDoS attacks on Fibaro home center 3 for smart home security\",\"authors\":\"Ladislav Huraj, Marek Šimon, Jakub Lietava\",\"doi\":\"10.1016/j.dib.2024.110991\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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.</div><div>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.</div></div>\",\"PeriodicalId\":10973,\"journal\":{\"name\":\"Data in Brief\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2024-10-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Data in Brief\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2352340924009533\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Data in Brief","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352340924009533","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
摘要
分布式拒绝服务(DDoS)攻击对智能家居构成重大安全风险,可能会破坏家庭中联网设备的功能和可用性。本数据集记录了针对 Fibaro Home Center 3 中央控制装置的分布式拒绝服务 (DDoS) 攻击,该装置用于在物联网内实现智能家居自动化。重点是三种类型的 DDoS 攻击:TCP SYN flood、ICMP flood 和 HTTP flood。数据收集在本地网络上进行,其中 SYN flood 和 ICMP flood 攻击使用 hping3 工具执行,HTTP flood 攻击使用 LOIC 工具执行。数据使用 Wireshark 软件捕获,并以 PCAP 和 CSV 格式提供,以便对网络流量进行详细分析。日志包括时间戳、源和目标 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。该数据集为专注于网络安全和物联网设备保护的研究人员提供了资源。通过该数据集,可以模拟和分析针对特定物联网设备的 DDoS 攻击,深入了解攻击模式和防御效果。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和预测模型的实用资源,以缓解和预防 DDoS 攻击。PCAP 格式的使用便于将数据导入各种研究软件平台。
Dataset of DDoS attacks on Fibaro home center 3 for smart home security
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.
期刊介绍:
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