Liu Xinqi

TL;DR: In this paper, the authors proposed a method and a device for identifying a network crawler and extracting a network crawl feature, which comprises the following steps: determining a subset of a user access feature set; determining the access parameter of the access attribute set of the subset is the same as the access feature parameter of at least one access attribute of the whole service attribute set; Acquiring values of access features of a composite set of user access features and an integrated access feature sets of a sample user from a history log as training data.

TL;DR: In this paper, the authors presented an attack identification method and identification system thereof, which comprises following steps: S1: acquiring an access log stream of a domain name, determining a browsing path rule of the domain name based on browsing path information of each user of the access log streams when accessing the Domain name; S2: calculating the probability of adopting a browse path in the browse path rule when each user accesses the Domain Name according to the browse Path Rule; S3: obtaining the number of times a user uses the browsing path when accessing Domain Name; S4:

TL;DR: In this article, a low-frequency crawler identification method, a device, a readable storage medium and an equipment, the method comprising: computing a behavior feature vector of each user IP within a preset time slot according to a network application log of each UIs, clustering the behavior feature vectors of UIs to acquire a plurality of clusters; and determining an inspection rule, determining a cluster that meets the corresponding inspection rule and determining each user UIs in the cluster as a crawler.