The gatech/fingerprinting dataset

In these datasets, we present the the inter-arrival time information collected actively and passively from different wireless devices using wire-side observations in a local network. The captures were collected from 30 wireless devices including iPads, iPhones, Kindles, Google-Phones, Netbooks, IP Printers, IP Cameras, etc., from various applications and protocols such as Skype, ICMP, SCP, Iperf. Due to heterogeneity in devices (e.g., deterministic hardware and software configurations), time-variant behavior of network traffic stemming from different devices can be used to create unique, reproducible device and device type signatures and to fingerprint devices and their types as explained in A. Selcuk Uluagac, Sakthi V. Radhakrishnan, Cherita Corbett, Antony Baca, and Raheem A. Beyah, A Passive Technique for Fingerprinting Wireless Devices with Wired-side Observations, Proceedings of the IEEE Conference on Communications and Network Security (CNS), October 2013. Further details are available at http://users.ece.gatech.edu/~selcuk/devFingerprinting.html ; [e-mail]本数据集收录了通过局域网内有线侧观测（wire-side observations）手段，主动与被动采集自各类无线设备的到达间隔时间（inter-arrival time）信息。本次采集覆盖30台无线设备，涵盖iPad、iPhone、Kindle、谷歌手机（Google Phones）、上网本（Netbook）、网络打印机（IP Printer）、网络摄像头（IP Camera）等品类，涉及Skype、ICMP、SCP、Iperf等多种应用与通信协议。由于不同设备存在软硬件配置的异构性（例如确定性的软硬件配置），不同设备产生的网络流量时变特性可用于生成唯一且可复现的设备及设备类型特征签名，进而实现设备及其类型的指纹识别，相关细节可参见A. Selcuk Uluagac、Sakthi V. Radhakrishnan、Cherita Corbett、Antony Baca与Raheem A. Beyah发表于2013年10月IEEE通信与网络安全会议（CNS）的论文《A Passive Technique for Fingerprinting Wireless Devices with Wired-side Observations》。更多详细信息可访问：http://users.ece.gatech.edu/~selcuk/devFingerprinting.html，联系邮箱：[e-mail]