The present invention relates to a dark network data collection and extraction system and method. The system comprises a dark network point discovery module, a dark network data crawling module, a page parsing and content extraction module, and a data fusion and storage module that are connected in sequence; the dark network point discovery module obtains dark web urls in multi-source data; the dark network data crawling module is configured with the Tor service, modifies Nutch configuration to make the Nutch interact with a socks protocol, and crawls data; the page parsing and content extraction module carries out page parsing, page vectoring, signature generation, similarity calculation, template set updating, and page content extraction; and the data fusion and storage module reorganizes the extracted content by using a data alignment strategy, and fuses similarly-closed data records into a database. According to the system and method disclosed by the present invention, a complete system design flow from page saving to content extraction is realized, and data support is provided for the discovery of illegal transaction activities in the dark network and the establishment of thedark network knowledge map.

Dark network data collection and extraction system and method

It is an object of the present application to provide a method and apparatus for determining a list page node. Compared with the prior art, the present application obtains an initial child node undera root node, determines a content page node at each level based on the initial child node, and then determines a list page node based on a distance of the content page node at each level from the rootnode. With the method, a list page node can be identified quickly. As the hyperlink of the content page appears on the list page theoretically, the crawler search only needs to extract the hyperlinksfrom the list page and the first page when the crawl search is carried out downward, thereby improving the efficiency of the crawler and reducing the consumption of hardware.

A method and apparatus for determining a list page node

The invention relates to an information source management and configuration method for network data acquisition. The method comprises: sensing an information source of network data, and splitting theinformation source into a media, an information cluster and an information source; performing category labeling on the information cluster according to the information cluster category; performing category labeling on the information source according to the information source category; configuring an acquisition template according to the information source category of the information source; configuring an extraction template according to the network data contained in the information source; And when the information source is verified to be a potential failure information source, the information source is set to be invalid, or the acquisition template and/or the extraction template are/is reconfigured. According to the information source management and configuration system provided by theinvention, different types of information sources are reasonably and efficiently organized through a hierarchical concept system of a 'media-information cluster-information source' three-level structure and a multi-dimensional information source classification system, so that accurate perception of large-scale network information sources is realized, and an acquisition strategy is designed.

Information source management and configuration method and system for large-scale network data acquisition

The invention relates to an electronic business website theme crawler method of automatically structured data. The method is characterized by including the following steps that an entry address is passed to trigger a working system, wherein a module analyzing system is arranged in the working system; the module analyzing system enters the working state, and grabbing work is started simultaneouslyto wait for a task of a main thread; whether a website is new or old is judged by the module analyzing system, and if the website is old, analysis is conducted by means of rules generated through previous analysis; if the website is new, the website is handed over to a structure analyzer in the module analyzing system, position information of list data and a target field is obtained through step-by-step analysis by the structure analyzer according to a preset matching template, and a generated XPath is stored in analyzer examples by the structure analyzer; finally, crawler operating process isconducted to achieve structuring. By means of the method, not only can mass of data of multiple sites be fast obtained, but structured data processing and information digging can be more focused on.

Electronic business website theme crawler method of automatically structured data

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Electronic business website theme crawler method of automatically structured data