botnet detection

I haven't updated my blog for almost two months, from the first blog post "Haar Adaboost detection of the custom target (video vehicle detection algorithm code)" Since the publication of a lot of readers leave a message, a little praise good, also have the results of the trough is not ideal, of course, more or ask some questions about the details. For most of the questions, I would be happy to answer them p

Over the years, companies have relied on stateful detection firewalls, intrusion detection systems, host-based anti-virus systems and anti-spam solutions to ensure the security of enterprise users and resources. But the situation is changing rapidly, and the traditional one-point defensive security device faces a new attack that is hard to handle. In order to detect the latest attack, the security device mu

, and the roof is the first rise and then descend. Figure 2 Edge Type third, image edge Description We are more concerned with the step and ridge edges, which are characterized by differential operators, as shown in Figure 3 Figure 3 In mathematics, the rate of change of the function is characterized by the derivative, the image we consider as a two-dimensional function, the above pixel value changes, of course, can also be used to characterize the derivative, of course, the image is discr

definition of Corner point There are several paragraphs that define corner points: 1, corner Detection (Corner Detection) is a computer vision system used to obtain image features, widely used in motion detection, image matching, video tracking, three-dimensional modeling and target recognition and other fields. Also known as feature point detection.The corner p

"Original: http://blog.csdn.net/liulina603/article/details/8291093" 1. Hog Features: The directional gradient histogram (histogram of oriented Gradient, HOG) is a feature descriptor used for object detection in computer vision and image processing. It is characterized by calculating and statistic the gradient direction histogram of local region of image. Hog feature combined with SVM classifier has been widely used in image recognition, especially in

1. What is status detection?Each network connection includes the following information: Source Address, Destination Address, source port, and destination port, called socket pairs, protocol type, connection status (TCP protocol), and timeout time. The firewall calls this information stateful. A firewall that can detect each connection status is called a status packet filtering firewall. In addition to completing the packet filtering of the simple pack

1. Hog features: Histogram of Oriented Gradient (hog) is a feature description used for Object Detection in computer vision and image processing. It forms a feature by calculating and counting the gradient direction histogram of the Partial Area of the image. Hog feature combined with SVM classifier has been widely used in image recognition, especially in pedestrian detection. It should be noted that the ho

This article gives you a detailed description of the network disconnection problem caused by ARP detection on the vro. I believe you have read this article to learn about route settings. LAN networks are easy to use, but it is not easy to manage. Different Internet access needs alone make the network administrator busy, not to mention frequent network faults. This is not the case. Intermittent failures on the Internet are very common. The factors that

is Faster r-cnn Doing well for pedestrian Detection?ECCV Liliang Zhang kaiming He　　Original link: http://arxiv.org/pdf/1607.07032v2.pdf　　Abstract: Pedestrian detection is argue said to be a specific subject, rather than general object detection. Although recent depth object detection methods such as: Fast/faster RCNN

In the previous article, "OpenCV feature2d learning--surf and SIFT operators to achieve feature point detection", the use of SIFT and surf operators for feature point detection, here is trying to use fast operator for feature point detection.Fast's full name is:Features from Accelerated Segment test, the main feature values are fast, much faster than other known feature point

In the development of Java games, we often encounter collision detection problems. As in the tank war, the shell and tank encounter exploded; in the Guardian game, the Guardian Fire Arrows and monsters meet the Monster blood loss; In a plane game, the plane sent bullets and enemy planes met to kill enemy aircraft. These all need to implement collision detection.We first look at a relatively simple collision detect