Network Abnormal Behavior Detection System and Method Based on Big Data
A network anomaly and detection system technology, applied in the field of big data, can solve the problem of harming the interests of the video website platform and other video producers, and achieve the effect of improving the accuracy rate
Active Publication Date: 2022-06-07
深圳第一线通信有限公司
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However, in order to increase popularity or improve economic benefits, there are often on-demand behaviors on the Internet in which a certain video file is artificially repeatedly swiped for playback. For this kind of malicious swiping, it is an abnormal playback volume, which seriously damages the video website platform. interests of Fang and other video producers
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[0034]The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0035] see figure 1 , the present invention provides a technical solution: A large data-based network abnormal behavior detection system, the detection system includes a first suspected abnormal video judgment module and a pre-mark addition judgment module, and the first suspected abnormal video judgment module is detected by a user When the playback volume of a certain video meets a certain condition, the time interval between the current time and the time whe...
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The invention discloses a network abnormal behavior detection system and method based on big data. The detection system includes a first suspected abnormal video judgment module and a pre-mark addition judgment module. The user of the first suspected abnormal video judgment module detects When the playback volume of a certain video meets a certain condition, the time interval between the current time and the time when the video file is uploaded is obtained, and when the time interval is less than or equal to the time interval threshold, the video file is judged to be the first suspected abnormal video. The identification adding judging module collects the playing situation of the historical video of the uploader of the first suspected abnormal video and the situation of playing the first suspected abnormal video each time within the preset time period, and judges whether to add an abnormal warning to the first suspected abnormal video accordingly. logo.
Description
technical field [0001] The invention relates to the technical field of big data, in particular to a big data-based network abnormal behavior detection system and a method thereof. Background technique [0002] With the rapid development of the Internet, video websites are gradually becoming familiar and used by the public. With the improvement of the openness of video websites to users, many video producers will upload some videos they usually shoot to video websites and share them with everyone. However, in order to increase popularity or improve economic benefits, there are often on-demand behaviors on the Internet in which a certain video file is artificially repeatedly swiped for playback. For this kind of malicious swiping, it is an abnormal playback volume, which seriously damages the video website platform. interests of Fang and other video producers. Therefore, detecting whether the video playback is abnormal is an urgent problem to be solved. Contents of the inv...
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IPC IPC(8): H04L9/40
CPCH04L63/1425H04N21/64723H04N21/44204H04N21/44218
Inventor 张仕文
Owner 深圳第一线通信有限公司