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Research on intrusion detection and network security development technology-web surfing

With the increasing of the risk coefficient of network security, the firewall, which used to be the main security precaution, can not meet the need of the network security. As a useful complement to the firewall, IDS (Intrusion detection System) can help the network system to quickly detect the occurrence of the attack, it extends the system administrator's security management capabilities (including security audit, monitoring, attack identification a

Self-built high-performance intrusion detection and defense system

Zero-day attacks and distributed denial of service (DdoS) attacks brought by increasingly large botnets, many small and medium-sized enterprises that use traditional security equipment are exhausted, and the active defense technology can effectively solve the security problems brought about by these aspects. Intrusion detection and defense system (IDS/IPS) is an active defense technology that installs them in key locations of the network and detects a

Bai Baoquan: Application of Microwave-microwave detection

Transfer voice The following is the Bai Baoquan tutorial I worked with several years ago.A piece of information that has been presented for more than six years.Not successful. I am worried that he may be dead.[Note], Publish thisTo attract people's attention and use the networkTo obtain any information about him..This document was originally used as a complete chapter of the microwave manual.But I am not sure which publisher invited him to write it. Only one directory is listed here to

Pedestrian detection Overview (6)

As a result of the course work, summary of the recent domestic literature on pedestrian detection, although it was written in 2014 and 2013, but the content of the review is still a classic thing. As a tour review.Xu Teng, Huang, Tian Yong. Survey of pedestrian detection technology in vehicle vision system [J]. Chinese Journal of Image Graphics, 2013,18 (4): 359-367.In this paper, the most important two lin

The principle of canny edge detection algorithm and its VC implementation (I.)

Transferred from: http://blog.csdn.net/likezhaobin/article/details/6892176The edge of image refers to the part where the brightness of the image is changed significantly, and the gray section of the region can be regarded as a step, which changes from one gray value to another in a very small buffer area to a gray scale with a large difference. The edge of the image is focused on the most information of the image, the determination and extraction of image edge is very important for the whole ima

About PHP detection Feature usage Summary

This article mainly introduces the PHP login time-out detection function example of the relevant information, the need for friends can refer to the PHP login time-out detection function example of the introduction: PHP Login Time-out problem, when users more than a certain time without the operation of the page automatically log out, the principle is through JS access to judge! The code is as follows (take

My personal thoughts on storing different types of objects for Collision Detection

(Declaration: The following object-oriented ideas are based on C ++ and 2D graphics) In a program with a small amount of code, we may directly encapsulate the collision detection of all required objects in the class, and then Automatic Collision Detection is performed during rendering of actions such as role movement. However, this practice has a drawback, that is, we have known the requirements, If we need

Reproduced TLD (tracking-learning-detection) target tracking

Objective:Original address: http://www.cnblogs.com/lxy2017/p/3927456.htmlBrief introduction:Original: http://blog.csdn.net/mysniper11/article/details/8726649Video Introduction Website: http://www.cvchina.info/2011/04/05/tracking-learning-detection/TLD (tracking-learning-detection) is a new single-target long term Tracking tracking algorithm presented by Zdenek Kalal, a Czech PhD student at the University of

Intrusion Detection System Analysis and Implementation in Linux (1)

I. Intrusion Detection System Analysis 1.1 What is an intrusion detection system Intrusion refers to any attempt to endanger the integrity, confidentiality, or availability of computer resources. Intrusion detection, as its name implies, is the discovery of intrusion behaviors. It collects information from several key points in a computer network or system and a

Use a network intrusion detection system to prevent hacker attacks

This article describes the hacker intrusion methods for the vulnerabilities in the intrusion detection system. Once the network intrusion detection system is installed, the network intrusion detection system will analyze the online hacker attack events for you, and you can use the counterattack function of this intrusion dete

Measure the test taker's knowledge about intrusion detection vulnerabilities.

This article describes the hacker intrusion methods for the vulnerabilities in the intrusion detection system. Once the network intrusion detection system is installed, the network intrusion detection system will analyze the online hacker attack events for you, and you can use the counterattack function of this intrusion dete

Webshell Security Detection

Webshell Security Detection 0x00 traffic-based detection 1. Overview I have been paying attention to the security analysis of webshell, And I will share my experiences in this period of time. Webshell generally has three detection methods:The traffic-based mode is based on the agent Mode (essentially the direct analysis of webshell files) and the log analysis mo

Phi cumulative failure detection algorithm

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

Kafka + flink: quasi-real-time exception detection system

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 ***

CS231N Eighth: Target detection and location learning record

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

"Reading notes-data mining concepts and techniques" outlier detection

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

Summarization and application of local feature point detection algorithm for image

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

DPM Target detection algorithm (excerpt from graduation thesis)

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 of Game elves under the J2ME

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

Analysis and discussion of boundary closed in Image Edge Detection 1

AbstractIn image edge detection, the detected edge is often closed. In this paper, we analyze two common algorithms: The Harf transform and the Canny edge detection algorithm. Finally, discuss the criteria that edge operators should satisfy. KeywordsEdge detection, closed, Harf transformation, and Canny operator 1 IntroductionThe edge of an image refers to the a

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