botnet detection

Java Web intrusion detection and simple implementation-general Linux technology-Linux programming and kernel information, the following is a detailed description. In Java Web applications, especially website development, we sometimes need to add an intrusion detection program for applications to prevent malicious refreshing, prevent Unauthorized users from repeatedly sending data to Web applications. Of cou

Rkhunter official website is: http://www.rootkit.nl/projects/rootkit_hunter.htmlRkhunter is a tool for professional detection systems to infect rootkits, using scripts to confirm that the system is infected with the functionality that Rootkit,rootkit can achieve:"1" MD5 verification test, check whether the file has been changed"2" detects binary and System tool files used by rootkiit"3" detects the signature of a Trojan horse program"4"

Introduction:Equipment fault Diagnosis Technology is a combination of engineering and theory of comprehensive technology, it has greatly promoted the enterprise equipment production maintenance system reform, the greatest degree of reducing economic losses, for enterprises to obtain as much economic benefits. Motor fault diagnosis is a branch of equipment fault diagnosis technology, three-phase asynchronous motor automation testing platform for the enterprise to provide a considerable convenienc

Gradient histogram feature (HOG) is a dense descriptor for local overlapping areas of an image, which is characterized by calculating the gradient direction histogram of the local area. Hog feature combined with SVM classifier has been widely used in image recognition, especially in pedestrian detection. It is to be reminded that the method of pedestrian detection is HOG+SVM French researchers Dalal in 2005

Redmon, J., Divvala, S., Girshick, R., Farhadi, A.: You have look once:unified, real-time object detection. IN:CVPR. (2016)Yolo's all-in-one is a look Once, as the name implies is only seen once, the target area prediction and target category prediction, the author regards the target detection task as the target area prediction and category prediction regression problem. The method uses a single neural netw

With the rise of artificial intelligence, target detection algorithm plays a more and more important role in various industries, how to land, this is a very serious topic. Today I saw a Daniel share, study.To comb the algorithm and history of this field. Facilitate follow-up studies.According to the time classification, the algorithm can be divided into two kinds: traditional algorithm and CCN algorithm.Traditional algorithms: Cascading class

Object detection has developed rapidly in the last two years, from RCNN, fast rcnn to towards real time faster rcnn, then real time YOLO, SSD, generation faster than a generation (fps), The generation is stronger than the generation (MAP), faster and stronger, but today is about the real better, faster, and stronger of the a state of the art system----YOLO9000 (and v2). YOLO v1 A real-time target detection

Heartbeat is often used in distributed systems to detect the health status of the server. However, in theory, heartbeat cannot really detect the other party's crash, the main difficulty lies in the inability to distinguish between downtime and slowness ". The traditional detection method is to set a timeout time t. As long as the heartbeat packet of the other party is not received within T, the other party is considered to be down. The method is simpl

1. BackgroundException detection can be defined as "making decisions based on the actions of actors (persons or machines)". This technology can be applied to many industries, for example, transaction detection and loan detection are performed in Financial Scenarios, production line warning is performed in industrial scenarios, and ***

Combining video eighth episode and notes: http://chuansong.me/n/353443351445This lesson starts with three aspects of classification (classification), positioning (Localization) and detection (Detection).You can see from the visual:1. For classification, it is to divide a given picture into one of several categories given. It is clear that only one object in the given category can exist in the image.2. The p

1 outlier and outlier analysis 1.2 outliers of type A. Global outliersDeviate significantly from the rest of the data set, the simplest class of outliers.Detection method: Find a suitable deviation measureB. Contextual outliersOutliers are dependent on context. Divided into contextual attributes (defining the context of an object) and behavior attributes (defining the characteristics of an object)C. Group OutliersSubsets of Data Objects form collective outliers, if these objects deviate signific

Security O M: Use of Linux backdoor intrusion detection tools 1. Introduction to rootkit Rootkit is the most common backdoor tool in Linux. It mainly replaces system files for intrusion and concealment. This Trojan is more dangerous and concealed than a common backdoor, it is difficult to find such Trojans through common detection tools and detection methods. Th

The research of image feature detection has been a long time, many methods of image feature detection, coupled with the deformation of various algorithms, it is difficult to fully understand in a short period of time, but the main feature detection algorithm principle of the study. Overall, image features can include color features, texture principal, shape featu

Spectators, if you find mistakes (there should be a lot ...). ), looking feel free. The training section was not writtenPreviously written part of the content:DPM (deformable Parts Model)-Principle (i)DPM (defomable Parts Model) source Analysis-Detection (II)DPM (defomable Parts Model) Source Analysis-Training (III)Recommended reading:dpm:http://blog.csdn.net/masibuaa/article/category/2267527Hog:hog (excerpt from graduation thesis) DPM Target

Collision detection, also known as conflict detection, is a way to determine whether the elves are conflicting with each other. Collision detection is used to determine when physical interactions occur between elves. For example, in a game, the player's life will be reduced if the player's sprite collides with a small-plane sprite. Collision

In the previous sections, we have covered what is target detection and how to detect targets, as well as the concepts of sliding windows, bounding box, and IOU, non-maxima suppression.Here will summarize the current target detection research results, and several classical target detection algorithms to summarize, this article is based on deep learning target

Scene Management --- Collision Detection For personal use only, do not reprint, do not use for any commercial purposes. The engine without collision detection is incomplete. Collision detection is one of the basic services of the engine and needs to provide services for rendering, physical simulation, AI, game logic, and many other subsystems. Collision

I. processor Information Detection Although the remark CPU phenomenon has basically disappeared as the processor technology has been continuously upgraded over the past two years, due to the increasingly detailed differentiation of the current processor, even if the processor's series and clock speed are identical, they also support different functions. For example, in the previous articleArticleP4 530j and P4 531 +. Although the two processors are

TravelseaLinks: https://zhuanlan.zhihu.com/p/22045213Source: KnowCopyright belongs to the author. Commercial reprint please contact the author for authorization, non-commercial reprint please specify the source.In recent years, the Deep convolutional Neural Network (DCNN) has been significantly improved in image classification and recognition. Looking back from 2014 to 2016 of these two years more time, has sprung up R-cnn,fast r-cnn, Faster r-cnn, ION, Hypernet, SDP-CRC, YOLO,G-CNN, SSD and oth

prevent attackers from using or reducing the available level3. DEP to prevent SHELLCODE Execution4. DEFENDER, UAC, anti-virus, Trojan, etc. Currently, trojan detection is generally concentrated on 3, 4. Based on the vulnerability exploitation logic, when attackers execute SHELLCODE, in essence, it has the same permissions as the detection technology, and can fully implement confrontation. for example, the