botnet detection

Source: Security Focus Author: [CISRG] KiSSinGGerE-mail: kissingger@gmail.comMSN: kyller_clemens@hotmail.com Questions... Anti-CallStack Check and Anti-CallStack Check ...(;--) We found that the two articles on MJ0011 and gyzy's "stack-based fingerprint-based buffer overflow detection ideas" are similar.Both of them are done by detecting the return address in CallStack.I have recently studied some AntiRootkit technologies, which have to attract my att

First, why install SP6 and its: http://blog.csdn.net/liquanhai/archive/2009/12/01/4912963.aspx#1570353 A lot of information on the Internet is summarized as follows: 1. After manually installing the SP6 package of VS6.0 (downloaded on the Microsoft website), The SP6 tag is not displayed at startup, and the versions of the following files are:Msdev.exe 6.0.9782.2Cl.exe 12.0.8804.0Nmake.exe 6.0.9782.0 2. After decompiling a SOFTWARE, check the registry HKEY_LOCAL_MACHINE/SOFTWARE/Microsoft/Vi

We learned how to use TMG to protect Exchange 2010 Server with Forefront TMG. This article introduces how to detect tmg https to prevent viruses and trojans from intruding into the server in disguise. 1. Introduction to tmg https Inspection Tmg https Inspection (HTTPS detection) can prevent internal clients from accessing some illegal HTTPS websites. In general, it is to prevent clients from establishing SSL connections directly with external servers

Met a good "OpenCV introductory tutorial" http://www.opencv.org.cn/forum.php?mod=viewthreadtid=33549 An introduction to the operations that contain the matrix classes and their memory management And the operation of reading and writing images and videos. An example #include Detectmultiscale This method is very slow,,, scan again I use 50x50 only scan 1 times have to 1s time, basically not reach the application requirements, should consider the actual situation of the problem, self-rewriting

OpenCV provides four different edge detection operators, or High-pass filters: Sobel,scharr and Laplacian operators and canny operators, the specific detection steps are as follows: image filtering : The algorithm of edge detection is based on first and second derivative of image gray value, but the derivative is usually sensitive to noise, so it is necessary to

http://blog.csdn.net/happy_stars_2016/article/details/52691255 First, lane line detection steps 1, Grayscale Grayscale key functions: Cvcvtcolorcvcvtcolor (iplimage* src, iplimage* DST, Cv_brg2gray);The last parameter is Cv_brg2gray, which indicates that the BRG picture (color picture) is converted to a grayscale picture (black and white). 2. Binary Value Image binary is to set the gray value of the pixel on the image to 0 or 255, that is, the enti

There are many exploits in the Metasploit framework, including buffer overflows, browser exploits, Web application vulnerabilities, backdoor exploits, zombie takeover tools, and more. Exploit developers and people who have contributed to this

Reprinted from: http://blog.csdn.net/cv_family_z/article/details/52438372 https://www.arxiv.org/abs/1608.08021 In this paper, a variety of target detection for the problem, combined with the current technical achievements, to achieve a good result. We obtained solid results on well-known object detection benchmarks:81.8% MAP (mean average precision) on VOC2007 and 82. 5% MAP on VOC2012 (2nd place) while tak

Computer now has become a daily necessities of life, then how much do you know about computers? The following small series for you to organize some common computer hardware knowledge, quickly to learn! Computer hardware, including all the physical parts of a computer, to differentiate between the data it contains or executes and the software that provides instructions for the hardware to complete the task. Computer hardware mainly includes: chassis, motherboard, bus, power, hard disk, storage c

Hough Forest target detection is a more fashionable target detection algorithm, Juergen Gall is proposed on 2009 CVPR.Hough Forest sounds like a combination of Hough transformation +random forest, in fact, not exactly. It is more like the combination of decision forest and regression forest plus generalized Hough Transform: Each tree in the forest is not a classification tree or a regression tree, but each

motion detection (foreground detection) (i) ViBe Zouxy09@qq.com Http://blog.csdn.net/zouxy09 Because of monitoring the development of the demand, the current prospects of the research is still many, there have been many new methods and ideas. The personal understanding of the following is probably summed up as follows: Frame difference, background subtraction (GMM, CodeBook, sobs, Sacon, VIBE, W4, multi-fr

Years of vulnerability detection can affect all Windows users Cylance's information security expert works with CERT research teams at Carnegie Mellon University and claims to have discovered a botnet vulnerability that affects all Windows versions for a long time. It is also included in the latest Windows 10 technology preview version. The botnet vulnerability

Explanation of common CentOS Performance Detection commands 1. uptime [Root @ smgsim02 ~] # Uptime15:08:15 up 98 days, 2 users, load average: 0.07, 0.29, 0.14 The number of times the system has been running since the current time the number of users logging on to the current system is 1 minute, 5 minutes, 15 minutes ago the current load Load average is the average length of the queue, and the number of processes waiting for execution in the queue The

Turn from: Global AI http://www.sohu.com/a/135469270_642762 Paper Address: https://arxiv.org/pdf/1704.04503.pdf GitHub Project: Https://github.com/bharatsingh430/soft-nms Improve target detection accuracy with one line of code Paper abstract Non-maximum suppression (Non-maximum suppression, NMS) is an important part of the object detection process. It first generates a

Title: Introduction to Intrusion detection technology time: 2004-06-13 Source: http://www.meiclub.com/Abstract with the development of computer technology, especially network, computer system has been developed from independent host to complex and interconnected open system, This has brought great convenience to people in the use of information and the sharing of resources. At the same time, people are faced with a series of security problems caused b

Target detection is a simple task for a person, but for a computer it sees an array of values of 0~255, making it difficult to directly get a high-level semantic concept for someone or a cat in the image, or the target to eat the area in the image. The target in the image may appear in any position, the shape of the target may have a variety of changes, the background of the image is very different ..., these factors lead to target

Introduction to Intrusion Detection Systems Chapter 1 concept of Intrusion Detection System As more and more companies transfer their core services to the Internet, network security is an unavoidable problem. Traditionally, companies generally adopt firewalls as the first line of defense for security. With the increasingly sophisticated knowledge of attackers and the increasingly complex and diverse att

With the wide application of intrusion detection system, the requirement of testing and evaluating intrusion detection system is more and more urgent. Developers want to test and evaluate the deficiencies in the product, users want to test and evaluate to help themselves choose the right intrusion detection products. Based on the current research, this paper intr

The problem at the optical fiber connection is the main cause of network failure. Therefore, the detection of the optical fiber end is crucial. This article discusses three main face detection methods. The optical fiber end surface processing quality has a great impact on the overall performance of the optical fiber communication system. It is estimated that more than half of the loss in the network is caus

Original sourceThank the Author ~Faster r-cnn:towards Real-time Object Detection with region Proposalnetworksshaoqing Ren, kaiming He, Ross girshick, Jian SuNSummaryAt present, the most advanced target detection network needs to use the region proposed algorithm to speculate on the target location, such as sppnet[7] and fast r-cnn[5] These networks have reduced the running time of the