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How to Use BackTrack to crack WEP keys in Wi-Fi networks

cheap WIFI adapters to crack this problem. Let's take a look! What do you need Unless you are a computer network security ninja, you are unlikely to have all the tools to complete the experiment. The following are what you need: A compatible wireless adapter. This is the main requirement. You need a wireless adapter for package injection. Your computer may not have this function. After discussing with my security expert neighbor, I spent $50 on Amazon to buy an

Enable the rtl8187 wireless network adapter to support aircrack-ng injection in Linux 2.6.28 kernel.

moduleMake clean make modules_installCopy ARCH/i386/boot/bzimage/boot/Kernel File Name5. RestartNote: For kernels earlier than 2.6.28, the following patches may need to be installed. The steps are the same (in the Appendix 1, foreigners say 2.6.28 kernel does not need to be patched)Wget requests: OK! Now your rtl8187 can support injection, aircrack-ng no problems! Appendix: 1,Kernel 2.6.28 update patched for ext4 CD upgrade. Http://forums.remote-exploit.org/showthread.php? T = 19221 Highlig

How to Use BackTrack to crack the WEP Key of Wi-Fi networks (1)

have all the tools to complete the experiment. The following are what you need: A compatible wireless adapter. This is the main requirement. You need a wireless adapter for package injection. Your computer may not have this function. After discussing with my security expert neighbor, I spent $50 on Amazon to buy an Alfa AWUS050NH adapter, as shown in the figure above. Update: do not learn from me. In fact, you should buy

Use Python for wireless attacks: Part 1-"Dnspwn attack"

downloads, or a fraudulent website may be displayed to try to steal Bob's authentication information. To implement this attack, she remembers that she can listen to all requests sent from or sent to Bob. She also knows that she is closer to Bob than the Web server Bob is requesting. Therefore, she decided to wait for Bob to send a Web request and see if she could send a fraudulent response before the real Web server responds to pretend that the response came from the web server. It turns out th

UVA bandwidth (good title)--yhx

'), followed by a ': ' and At least one of its neighbours. The graph would contain no more than 8 nodes.OutputOutput would consist of one line for each graph, listing the ordering of the nodes followed by an arrow and the ban Dwidth for that ordering. All items must is separated from their neighbours by exactly one space. If more than one ordering produces the same bandwidth, then choose the smallest in lexicographic ordering, which is the one That's would appear first in an alphabetic listing.

"Turn" 11 kinds of filtering algorithms

* lheight);Freeing memoryLocalUnlock (hnewdibbits);LocalFree (hnewdibbits);LocalUnlock (Harray);LocalFree (Harray);Returnreturn TRUE;}Three. An implementation of RC filter. Rcdigital (Double X, double Y) { static int midflag; static double yn_1,xn_1; Double mygetx=0,mygety=0; Double Alfa; alfa=0.7; If (x==0| | y==0) { midflag=0; xn_1=0; yn_1=0; mygetx=0; mygety=0; } if (x>0y>0) { if (m

Affordable Wireless Network Security Solutions for Enterprises

because many drivers are available for a variety of chip sets supported by mainstream open-source wireless software tools. You can select your preferred Linux version, compile or add data packets, or use Backtrack or KaliLinux in a simpler way. These versions are customized for Unbuntu or Debian, including the most popular and practical Security tools for penetration testing and digital forensics, by the Offensive Security sales company.For Wi-Fi adapters, if you are using Linux, you can save y

Realization of C language in BP neural network

#include "stdio.h" #include "Stdlib.h" #include "time.h" #include "math.h" /********************************************* Inpoints is the number of input neurons that can be changed Outpoints is the number of output neurons Defaultpoints is the number of neurons in the hidden layer Datagrough is the number of sample data ********************************************** The following data definitions can be modified *****/ #define A 0 #define a 1 #define B 1 #define C 1 #define

Kali Linux does not have a wireless card? Play a Hammer paper ~

/n/AC protocol, which means that it can support both 2.4GHz and 5GHz, and has a very high network speed. Alfa Network Awus036ach has 2 5dBi antennas, with very good wireless performance, the price is around 300 ¥.Official recommendation2.Alfa AWUSO36NH3.Alfa Awus036nha4.Alfa AWUS051NH5.Panda PAU05The above 5 are Plug a

Genetic algorithm, real-coded cross-operation SBX (analog binary crossover)

This paper mainly introduces the sbx of the crossover operation of the genetic algorithm (real coding), and simulates the binary crossover.First of all, give the personal code implemented by python2.7, the specific module has been uploaded to:Https://github.com/guojun007/sbx_cross1 #!/usr/bin/env python2 #Encoding:utf-83 ImportNumPy as NP4 ImportRandom5 6 """7 SBX analog binary crossover8 9 Input:Ten Population population Matrix One Alfa Crossover Pro

Eleven General Filter Algorithms

J-ifiltermx + L PixelLpsrc = (unsigned char *) lpdibbits + llinebytes * (lheight-1-I + ifiltermy-k) + J-ifiltermx + L;// Save the pixel valueAvalue [K * ifilterw + L] = * lpsrc;}}// Obtain the median value* Lpdst = getmediannum (avalue, ifilterh * ifilterw );}}// Copy the transformed ImageMemcpy (lpdibbits, lpnewdibbits, llinebytes * lheight );// Release the memoryLocalunlock (hnewdibbits );Localfree (hnewdibbits );Localunlock (harray );Localfree (harray );// ReturnReturn true;} Iii. Implem

Fractal-C-line

As mentioned above, the levy curve is generated by dividing a line segment into two lines with the same length and vertical lines. in addition, the fragtal dragon is also to turn a line segment into two lines with an angle of 90 degrees. this section shows that a line segment is constantly divided into two equal-length and non-fixed-angle line segments to generate a graph. this is like turning a line segment into an isosceles triangle. The original line segment is the bottom side of an isosceles

PID control based on BP neural network

In the classical increment PID algorithm, the parameter that needs to be debugged is KP,KI,KD. The three parameters are adjusted by BP Neural Network, with X (i) as the input layer and the middle layer as the Simoid function: f (x) = Tanh (x) = (exp (x)-exp (-X))/(exp (x) +exp (-X)). and modify parameters by gradient descent method Key code:%output LayerFor J=1:1:outDK (j) =2/(exp (j)) +exp (K (j)) ^2;EndFor L=1:1:outDELTA3 (L) =error (k) *dyu (k) *epid (L) *DK (L);EndFor L=1:1:outFor I=1:1:

Set the color parameter in Android code

Today you want to draw a curve that changes dynamically based on the color of the parameter, and the parameters are not fixed, so you need to get the color values based on the parameters. Studied for a long time and engaged in a scheme that was implemented through paint.Paint contains a number of ways to set its properties, the main method is as follows:Setantialias: Sets the brush's jagged effect. setcolor: Setting Brush colorsSetargb: Sets the a,r,p,g value of the brush. Setalpha: Setting alph

Reprint high quality chroma key

backing to the pixel value, the next step wocould be to subtract this contribution from the pixel value and replace it with a scaled version of the background image. in other words, the overall operation completed MED by Chrome key is ck_result = (fg_pixel_value-blue_backing_contribution) + KBG * bg_pixel_value (EQ 1 ). the problem now is to provide a concrete Algorithm for determining KBG and blue_backing_contribution from the image data. One such an algorithm is presented below. First, we

Two methods for generating strong passwords in PHP

Here are 2 kind PHP code can generat strong passwords: $ Password_length = 9; Function make_seed (){List ($ USEC, $ Sec) = explode ('', microtime ());Return (float) $ sec + (float) $ USEC * 100000 );} Srand (make_seed ()); $ Alfa = "1234567890qwertyuiopasdfghjklzxcvbnmqwertyuiopasdfghjklzxcvbnm ";$ Token = "";For ($ I = 0; $ I $ Token. = $ Alfa [rand (0, strlen ($ A

Crown of fragment (Crown)

Crown Fractal Curve Core code: static void FractalCrown(const Vector3 vStart, const Vector3 vEnd, Vector3* pVertices){ Vector3 vSub = vEnd - vStart; Yreal len = D3DXVec3Length(vSub); pVertices[0] = vStart; pVertices[6] = vEnd; Yreal alfa = atan2f(vSub.y, vSub.x); Yreal a0 = alfa - YD_REAL_PI/6; Yreal a1 = alfa + YD_REAL_PI/6; Yreal l = len

JS Tree Menu

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PID control based on BP neural network

The parameters that need to be debugged in the classic incremental PID algorithm are KP,KI,KD. The three parameters are regulated by the BP neural Network, with X (i) as the input layer and the middle layer as the Simoid function: f (x) = Tanh (x) = (exp (x)-exp (-X))/(exp (x) +exp (-X)). and modify the parameters by gradient descent method Key code:%output LayerFor J=1:1:outDK (j) =2/(exp (j) +exp (K (j))) ^2;EndFor L=1:1:outDELTA3 (L) =error (k) *dyu (k) *epid (L) *DK (L);EndFor L=1:1:outF

MySQLBUG of Ubuntu8.04Desktop?

I wrote a script to check the domain name and run it on Ubuntu8.04Desktop at home. An error occurred while importing data to the Mysql database: mysql gt; loaddatainfile "/home/cron/ddd.txt" extract tabletest; ERROR29 (HY000): File '/home/cron/ddd.txt' notfound (Errcode: 13) I wrote a script to check the domain name and run it on my Ubuntu 8.04 Desktop machine. An error occurred while importing data to the Mysql database: Mysql> load data infile "/home/cron/ddd.txt" into table test;ERROR 29 (HY

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