best malware detection

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Sphere-box Detection of collision detection

Testing ideasThe first thing to do is to convert box to AABB and then determine if the center is in box, using the SATIf the center is inside the box, it must intersect,If it is not within the center of the circle, there are four cases, intersecting the vertices, intersecting with the faces, and intersecting the polygons, where the determination is also determined by the SAT.In two dimensions, if the center is not inside the box, there are a couple of casesJust compare the length of the red line

LeakCanary: simple and crude memory leak detection tool, leakcanary Leak Detection

LeakCanary: simple and crude memory leak detection tool, leakcanary Leak Detection Almost every programmer may experience memory leakage during development. How can we detect memory leakage in the app? Square introduces LeakCanary, a simple and crude tool for detecting memory leaks. What is memory leakage? Memory leakage refers to the failure of the program to release memory that is no longer in use due to

Android apk automatic detection and upgrade and androidapk Detection

Android apk automatic detection and upgrade and androidapk Detection First, obtain the local apk version: /*** Obtain the local software version*/Public static int getLocalVersion (Context ctx ){Int localVersion = 0;Try {PackageInfo packageInfo = ctx. getApplicationContext (). GetPackageManager (). getPackageInfo (ctx. getPackageName (), 0 );LocalVersion = packageInfo. versionCode;Log. d ("TAG", "version of

Mobile Security Guard-virus detection and removal, and security guard virus detection and removal

Mobile Security Guard-virus detection and removal, and security guard virus detection and removal Public classAntivirusActivityExtends Activity {TextView TV _init_virus; ProgressBar pb; Message msg; ImageView iv_scanning; LinearLayout ll_content; protected void onCreate (Bundle savedInstanceState) {// TODO Auto-generated method stub super. onCreate (savedInstanceState); initUI (); initData ();} static class

Application of physics knowledge in iOS Animation: Angry Birds-Collision Detection and ios Collision Detection

Application of physics knowledge in iOS Animation: Angry Birds-Collision Detection and ios Collision DetectionCollision Detection Source code: https://github.com/Esdeath/07-13- I believe that iOS players are more or less familiar with the ball play game. The trajectory of a different point can be changed. For many people, if they do not know the idea, they may think that the ball hits the screen, and it see

Cocos2d-x map with the genie unlimited rolling and edge detection ---- game development "Zhao cloud to fight", Edge Detection

Cocos2d-x map with the genie unlimited rolling and edge detection ---- game development "Zhao cloud to fight", Edge Detection This chapter in the previous Cocos2d-x Custom button control genie attack ---- game development "Zhao cloud to fight" on the basis of the implementation of the genie to the right to the middle of the map, the map can follow the movement, however, in this case, the genie only plays th

__canny Edge detection algorithm for edge detection in OpenCV

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

Principle analysis of Lane line detection Hough line detection

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

Memory leakage and a simple detection method, memory leakage detection

Memory leakage and a simple detection method, memory leakage detection1. What is Memory Leak )? Simply put, a memory space is applied for and is not released after use. Generally, the longer the program runs, the more memory it occupies, and the entire system crashes. A piece of memory applied by the program, and no pointer points to it, the memory will be leaked. 2. Hazard of Memory leakage From the perspective of user programs, memory leakage does n

C language basics (6) (program error macro detection) (enumeration), program enumeration Detection

C language basics (6) (program error macro detection) (enumeration), program enumeration DetectionI. macro check for program errors 1. Macros INCLUDED IN THE SYSTEM _ FILE _ // The number of lines in the FILE _ LINE _/2. A custom macro is required. #define handle_error(msg) (do{perror(msg); \ exit(EXIT_FAILURE);}while(0)) Explanation: Perror: Check the macro of the system error. Once a system error occurs, an error number (errno) is generated, corr

Android version automatic detection update Version Detection automatic update Automatic Installation

Import Java. io. file; An android tool class used in the past, Version Detection and automatic update. Poor versatility, right to take notes. Package COM. hiyo. game. PDK. tool; // Obtain the package name and version:

Background Modeling or foreground detection (background generation and foreground detection) 6 emvisi2

Emvisi2: A Background Subtraction Algorithm, robust to sudden light changes Making Background Subtraction robust to sudden illumination change Emvisi2 is a Background Modeling proposed by the Swiss Federal Institute of Technology computer laboratory.Algorithm. From cvchina: We can see emvisi2, a foreground Detection Algorithm of EPFL. It seems that the effect is quite good (video ). The highlight is the ability to deal with drastic illum

Target detection--pvanet:deep But lightweight neural Networks for real-time object detection

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 motherboard knowledge CPU automatic detection and hardware error detection

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---Hofsonin (Hough forest) target detection algorithm for target detection

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

Safetynet:google ' s tamper detection-part 2

, Google can monitor the security of the Android ecosystem and track on-going incid Ents. As I ' ve hinted in me previous post, while performing this investigation I stumbled upon Droidguard, a set of components th At communicates with remote Google play APIs and are used for fraud detection, anti-abuse and operations like DRM. SafetyNet interacts, along with many other components, with Droidguard. Although these two systems could co-operate for some

Motion detection (foreground detection) (i) ViBe

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

Virtual Machine Detection Technology Analysis

Virtual Machine Detection Technology AnalysisAuthor: riusksk (quange)Home: http://riusksk.blogbus.comPrefaceIn today's information security field, especially in malware analysis, virtual machine technology is often used to improve the security of the virus analysis process and the constraints on hardware resources, therefore, it is widely used in the field of malware

Examples of exception detection methods and ideas based on Big Data Analysis

Examples of exception detection methods and ideas based on Big Data Analysis 1 OverviewWith the deepening of information technology in human society, the data produced by information systems is also growing exponentially. In-depth analysis of such data can produce a lot of valuable information. Because of the large amount of data and the diversity of data attributes, classic statistical analysis methods cannot be applied. Therefore, Big Data Analysis

What are the vulnerabilities in Android apps? Online free app bug detection!

Malware targeting smartphones has been around a few years ago, but it was not until 2012 that mobile phone security suddenly became the focus of public conversation. As a professional mobile internet app Security Service provider love encryption, very early began to work in the field of app security, for developers to provide security detection, application protection, channel

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