主动式设备指纹标记序列数据

通过主动式设备指纹技术，收集和分析用户设备的独特标记序列数据，在确保合规性和用户隐私保护的基础上，不仅能够精确识别用户设备，还有助于提供定制化服务和增强用户体验。在互联网安全行业中，有助于业内企业更准确地识别和理解用户行为，进行用户行为分析、安全监测等，从而提供定制化的服务和产品，增强行业竞争力。数据采集处理：从访问设备上主动采集的多维度信息数据，如MAC地址、设备IMEI号、设备当前IMSI号、操作系统版本、设定语言、屏幕分辨率等，对数据清洗、去重。
指纹计算：将收集到的各类数据信息转换为字节序列，将字节序列填充至448位模512的倍数，添加一个64位原始消息长度，确定特定常数量初始值A = 0x67452301，B = 0xefcdab89，C = 0x98badcfe，D = 0x10325476；将填充后数据分为512位消息块，每个消息块分为16个32位子块，对每个消息块执行64次迭代，每次迭代包括加法、位非、条件选择、位循环四个主要位操作，每次迭代使用不同的常数和位移量，并且根据迭代的序号选择不同的子块；同时在每次迭代中，根据位操作函数与逻辑运算更新ABCD四个常数量，完成迭代，将初始ABCD值与更新后的值进行加法运算，得到最终哈希值以32位的十六进制字符串形式输出，即设备指纹ID，该ID能够代表用户的设备而不会直接暴露用户个人信息。
数据应用：通过主动式设备指纹技术，收集和分析用户设备的独特标记序列数据，用于安全识别用户设备，有助于提供定制化服务和增强用户体验。

Using active device fingerprinting technology to collect and analyze unique marker sequence data of user devices, while ensuring compliance and user privacy protection, can not only accurately identify user devices, but also help provide customized services and enhance user experience. In the cybersecurity industry, it enables enterprises to more accurately identify and understand user behaviors, conduct user behavior analysis and security monitoring, thereby providing customized services and products and enhancing industry competitiveness.

Data Collection and Processing: Actively collect multi-dimensional information data from access devices, such as MAC address, device IMEI number, current device IMSI number, operating system version, set language, screen resolution, etc., followed by data cleaning and deduplication.

Fingerprint Calculation: Convert all collected data into byte sequences, pad the byte sequences to a length that is a multiple of 512 bits with the remainder congruent to 448 bits modulo 512, and append a 64-bit field storing the original message length. The initial values of specific standard constants are set as A = 0x67452301, B = 0xefcdab89, C = 0x98badcfe, D = 0x10325476. Divide the padded data into 512-bit message blocks, each split into 16 32-bit sub-blocks. Perform 64 rounds of iterations for each message block, with each iteration including four core bitwise operations: addition, bitwise NOT, conditional selection, and bitwise rotation. Each iteration uses different constants and shift amounts, and selects different sub-blocks based on the iteration index. Meanwhile, in each iteration, update the four constant values A, B, C, and D via bitwise operation functions and logical operations. After completing all iterations, add the initial A, B, C, D values to the intermediate updated values to obtain the final hash value, which is output as a 32-bit hexadecimal string, namely the device fingerprint ID. This ID can represent the user's device without directly exposing the user's personal information.

Data Application: Using active device fingerprinting technology to collect and analyze unique marker sequence data of user devices for secure identification of user devices, which helps provide customized services and enhance user experience.

搜集汇总

数据集介绍

特点

该数据集名为'主动式设备指纹标记序列数据'，由浙江齐安信息科技有限公司提供，包含10022条设备指纹数据，每日更新。数据通过主动式设备指纹技术采集，包括MAC地址、设备IMEI号等设备信息，用于安全识别用户设备和提供定制化服务。