摘要
针对传统设备类型识别方法存在的数据特征提取不全,难以覆盖种类复杂的各种平台设备,部分指纹会随着温度、湿度等产生轻微变化,无法准备标识设备身份等问题,提出了基于多维特征动态加权的设备指纹生成方法。首先通过插件方式,提取设备多维的静态和动态特征信息;然后基于专家库动态加权技术,完成特征值映射,使其具有鲁棒性;最后选用安全性高、轻量化的摘要值算法将特征值加密生成设备指纹,使其具有安全性、实时性、稳定性和不可伪造性,能够代表平台设备身份。
A device fingerprint generation method based on multidimensional feature dynamic weighting is proposed to address the issues of conventional device type recognition methods,such as incomplete data feature extraction,difficult to cover various platform device types,and some fingerprints may undergo slight changes with temperature,humidity,etc.,which makes it difficult to accurately recognize the device identity.First,multi-dimensional static and dynamic feature information of the device is extracted through a plug-in approach.Then,based on the expert library dynamic weighting technology,the feature value mapping is completed to make it robust.Finally,a secure and lightweight summary value algorithm is selected to encrypt the feature values to generate device fingerprints,so that they are secure,real-time,stable,and unforgeable,and can represent the identity of the platform device.
作者
杨少鹏
冯中华
YANG Shaopeng;FENG Zhonghua(No.30 Institute of CETC,Chengdu Sichuan 610041,China)
出处
《通信技术》
2023年第11期1296-1301,共6页
Communications Technology
关键词
多维
静态
动态
动态加权
轻量化
multi-dimensional
static
dynamic
dynamic weighting
light-weight
