摘要
为了更好地对网络视频监控设备进行在线管理与维护,提出了一种网络视频监控设备在线检测与自动识别技术.利用无状态扫描技术进行网络终端设备的在线检测,从终端设备特定端口返回的HTTP头信息中提取BANNER和HTML页面信息,并通过粗糙集属性约简后构建设备Web身份特征.利用余弦距离计算在线设备Web身份特征与已知设备特征库样本之间相似度,实现在线设备的检测与识别.结果表明,该方法能够较好地在线检测并自动识别网络视频监控设备,具有较高的识别准确率和较低的识别遗漏率.
In order to accomplish better on-line management and maintenance of network video monitoring equipment,an on-line detection and automatic identification technique for network video monitoring equipment was proposed.Stateless scanning technique was employed to perform the on-line detection of network terminal equipment,BANNER and HTML page information was extracted from HTTP header information returned from the specific port of terminal equipment,and the Web identity characteristics of equipment were constructed after the attribute reduction of rough set.Similarity between the Web identity characteristics of on-line equipment and those of known equipment samples are calculated using cosine distance,to realize the detection and identification of on-line equipment.The results show that the as-proposed method can detect and identify network video monitoring equipment nicely and automatically,and has higher recognition accuracy and lower missing rate.
作者
丁伟祥
DING Wei-xiang(Network Information Center, Criminal Investigation Police University of China, Shenyang 110035, China)
出处
《沈阳工业大学学报》
EI
CAS
北大核心
2020年第4期427-431,共5页
Journal of Shenyang University of Technology
基金
国家重点研发计划专项(2017YFC0822204)。
关键词
网络视频监控
Web身份特征
无状态扫描
粗糙集
特征约简
文本相似性
余弦距离函数
在线检测
自动识别
network video surveillance
Web identity characteristic
stateless scanning
rough set
attribute reduction
similarity of text
cosine distance function
on-line detection
automatic identification
