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1943results about How to "Efficient detection" patented technology

Method for sensing and recovery against buffer overflow attacks and apparatus thereof

Methods and apparatuses for detecting and recovering from a buffer overflow attack are provided. A method of recovering an operation state of a processor from a buffer overflow attach includes: detecting whether a buffer overflow attack is made on any write operation while storing write operations that are potential targets of buffer overflow attacks in a predetermined location instead of an original destination to store write operations; storing the contents stored in the predetermined location at a predetermined interval in the original destination for storing write operations if no buffer overflow attack is detected and discarding unsafe write operations subsequent to a buffer overflow attack if a buffer overflow attack is detected; and ignoring the unsafe write operations subsequent to the buffer overflow attack if a buffer overflow attack is detected. Therefore, a buffer overflow attack occurring in a computer can be effectively detected, and damage of a system which is attacked can be minimized and the system can be recovered or return to the original state before the attack. A system can be effectively protected while minimizing reduction in performance of the computer system according to a method used to implement the present invention, thereby greatly improving the environments under which the computer and the Internet are used.
Owner:HANBAT NAT UNIV IND ACADEMIC COOPERATION FOUND

System and method for detecting article in video scene

The invention relates to a system and a method for detecting an article in a video scene. The method comprises the following steps of: (a) setting an empty background model and receiving a first frame of scene in N frames of colored video scenes; (b) comparing each pixel of a second frame of scene serving as the current scene with a corresponding pixel in the background model of the first frame of scene, and judging whether a difference of the pixel values and a brightness difference value are smaller than or equal to preset threshold values; (c) if the difference of the pixel values and the brightness difference value are smaller than or equal to the preset threshold values, determining that the pixel is a background pixel and adding the pixel into the background model so as to generate a new background model, wherein all background pixels form a background article; or (d) if the difference of the pixel values and the brightness difference value are not smaller than or equal to the preset threshold values, determining that the pixel is a foreground pixel, wherein all foreground pixels form a foreground article; and (e) taking one of other frames of scenes in the N frames of scenes as the current scene, taking the background model obtained by detecting all the scenes before the current scene as the current background model, and performing the steps from (b) to (d) so as to detect the foreground article and the background article in each scene. By the invention, a dynamic background can be updated in real time.
Owner:HONG FU JIN PRECISION IND (SHENZHEN) CO LTD +1

Multi-label propagation discovery method of overlapping communities in social network

The invention relates to the technical field of a social network and particularly relates to a multi-label propagation discovery method of overlapping communities in the social network. The multi-label propagation discovery method comprises the following steps: reading data of the social network, constructing a social network diagram which adopts social network users as nodes and user relationship as edges; according to the social network diagram, carrying out preliminary community division of the social network, and carry outing community discovery by adopting a label propagation method of comprehensively considering the node centrality and label-degree distribution constraint to obtain a non-overlapping community structure; marking the levels of the nodes according to the obtained non-overlapping community structure and the centrality value of the nodes in the communities; and according to the levels of the nodes, calculating label propagation gain among the nodes with different levels, and carrying out overlapping node mining by utilizing the multi-label propagation to obtain the overlapping community structure of the social network. The multi-label propagation discovery method has the advantages that the overlapping community structure in the social network can be effectively mined, the accuracy and the efficiency of community detection are favorably improved, and the method can be applicable to the fields of target group mining, precision marketing and the like.
Owner:FUZHOU UNIV
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