Webshell detection-Log Analysis
It is always believed that the final meaning of log analysis is evidence collection and prediction-a complete story of ongoing, ongoing, and future attacks (when. where. who. what happened. why ).This article explains how to identify webshell, that is, to trace the attack events that have occurred from the identified attack events. The implanted webshell is undoubtedly a definite attack event, as long as it has been pas
Reprint Please specify source: http://blog.csdn.net/lsh_20131 IntroductionThe edge detection of digital image is an important foundation of image processing such as segmentation, target recognition and region shape extraction. In the image understanding and analysis, the first step is often edge detection. At present, edge Detection has become one of the most act
1. R-cnn:rich feature hierarchies for accurate object detection and semantic segmentationTechnical route: Selective search + CNN + SVMsSTEP1: Candidate Box extraction (selective search)Training: Given a picture, use the Seletive search method to extract 2000 candidate boxes from it. Due to the size of the candidate boxes, considering that the subsequent CNN requires a uniform image size, the 2000 candidate boxes all resize to the 227*227 resolution (i
One of the target detection (traditional algorithm and deep learning source learning)
This series of writing about target detection, including traditional algorithms and in-depth learning methods will involve, focus on the experiment and not focus on the theory, theory-related to see the paper, mainly rely on OPENCV.
First, what is the target detection algorithms
DetectionAt present, the feature detection for Webshell is usually carried out through the static detection of characteristic ratio and file attribute anomaly, and the dynamic detection mode based on the access condition and behavior pattern feature, because spy type Webshell is often disguised as normal Web script file. Static feature
First, Background introductionSkin detection has been widely used in many computer applications such as face recognition and tracking, gesture recognition, image retrieval and classification. The above research topics must solve a fundamental problem, that is, the image is precisely divided into two areas of the skin and background, the accuracy of the division is directly affecting the precision and performance of the follow-up work, so skin
This paper aims at the vulnerabilities of intrusion detection system to understand the hacker's intrusion methods. Once the network intrusion detection system is installed, the network intrusion detection system will analyze the hacker attacks on the Internet, and you can use the counterattack function of this intrusion detec
paper SourcesICCV2017 ARXIV report GitHub code (CAFFE-MATLAB)
The main problem in this paper is pedestrian detection. The author discusses how to apply semantic segmentation to pedestrian detection and improve the detection rate without damaging the detection efficiency. The author proposes a semantic Fusion network (s
With the development of network security technology, apart from firewall and anti-virus system protection, intrusion detection technology has become an effective way to defend against hacker attacks. Although the intrusion detection technology is still evolving, the market for intrusion detection products is growing, and the third wave of network security has bee
Linux Rootkit detection method based on memory Analysis0x00 Introduction
A Linux server finds an exception. For example, it is determined that the Rootkit has been implanted, but the routine Rootkit detection method by O M personnel is invalid. What else can we do in this situation?
Figure 1 Linux Server implanted with Rootkit
All html files with hidden links cannot be seen by ls.
Use the absolute ls-al
Original address: http://www.freebuf.com/articles/others-articles/71604.html(the original text is mainly aimed at spy type Webshell detection to discuss, the first part introduces the traditional method of detection Webshell, then find out the shortcomings of the traditional method, put forward a new method for Spy Webshell, this article mainly focus on its traditional methods of introduction) at present, t
Collision Detection on3DThe game is crucial. A good collision detection requires that the characters can be smoothly moved in the scene, and the steps within a certain height can automatically go up, while the high steps block people, when a slope with a small slope can be up, the slope is too large to block people, in the case of various forward direction is blocked, we should try to let the characters sli
Linux Rootkit detection method based on memory Analysis0x00 Introduction
A Linux server finds an exception. For example, it is determined that the Rootkit has been implanted, but the routine Rootkit detection method by O M personnel is invalid. What else can we do in this situation?
Figure 1 Linux Server implanted with Rootkit
Figure 2 general process of system command execution in Linux0x01 Rootkit im
0. Introduction
With the development of wireless technology and network technology, wireless networks are becoming a hot spot in the market. However, with the improvement of hacker technology, wireless LAN (WLAN) is under more and more threats. Wireless networks are not only attacked based on the traditional wired network's TCP/IP architecture, but may also be threatened by security issues based on the IEEE 802.11 standard. In order to better detect and defend against these potential threats, th
For the vulnerabilities in the intrusion detection system, let's take a look at hacker intrusion techniques. 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 detect
9.1 Capability Detection The most commonly used and most widely accepted is that the client detection form is capability detection (also called feature detection). The goal of competency detection is not to identify a particular browser, but to identify the browser's capabil
From: http://blog.csdn.net/carson2005/article/details/8316835
I declare that this article is translated, summarized, and summarized after I have read several summary articles about Pedestrian detection. This helps you understand the development trend of Pedestrian detection. At the same time, it also provides some ideas for friends who intend to study Pedestrian detecti
9 Anomaly Detection9.1 Density Estimation9.1.1 Problem MotivationAnomaly detection (Density estimation) is a common application of machine learning and is mainly used for unsupervised learning, but in some ways it is similar to supervised learning.The most common application of anomaly detection is fraud detection and in the industrial production field.In particu
Transfer from Http://blog.csdn.net/tfygg/article/details/51760640?utm_source=itdadaoutm_medium=referral
Moving target detection is the method of computer vision to reduce the time and space redundancy information in video, and effectively extract the process of the object with space position change. It has been a very popular research area, and a quick search with "motion detection" on the IEEE Xplore wil
With the increasing risk coefficient of network security, firewalls, once the most important security defense means, cannot meet people's requirements for network security. As a supplement to firewalls and their benefits, IDS (Intrusion Detection System) can help network systems quickly detect attacks, it extends the security management capabilities of System Administrators (including security audit, monitoring, attack identification and response) and
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