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检索条件"主题词=javaScript"

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Orchestrating Dynamic Analyses of Distributed Processes for Full-Stack javascript Programs 2018

Orchestrating Dynamic Analyses of Distributed Processes for ...

引用

17th ACM SIGPLAN International Conference on Generative Programming - Concepts and Experiences (GPCE) part of the SPLASH Collection of Conferences and Workshops

作者： Christophe, Laurent De Roover, Coen Boix, Elisa Gonzalez De Meuter, Wolfgang Vrije Univ Brussel Software Languages Lab Brussels Belgium

ISBN: (纸本)9781450360456

Dynamic analyses are commonly implemented by instrumenting the program under analysis. Examples of such analyses for javascript range from checkers of user-defined invariants to concolic testers. For a full-stack javascript program, these analyses need to reason about the state of the client-side and server-side processes it is comprised of. Lifting a dynamic analysis so that it supports full-stack programs can be challenging. It involves distributed communication to maintain the analysis state across all processes, which has to be deadlock-free. In this paper, we advocate maintaining distributed analysis state in a centralized analysis process instead -which is communicated with from the processes under analysis. The approach is supported by a dynamic analysis platform that provides abstractions for this communication. We evaluate the approach through a case study. We use the platform to build a distributed origin analysis, capable of tracking the expressions from which values originate from across process boundaries, and deploy it on collaborative drawing application. The results show that our approach greatly simplifies the lifting process at the cost of a computational overhead. We deem this overhead acceptable for analyses intended for use at development time.

关键词： Dynamic Analysis Distributed Applications javascript

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***: A CHR Implementation in javascript 2nd

***: A CHR Implementation in JavaScript

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2nd International Joint Conference on Rules and Reasoning (RuleML+RR)

作者： Nogatz, Falco Fruhwirth, Thom Seipel, Dietmar Univ Wurzburg Dept Comp Sci D-97074 Wurzburg Germany Ulm Univ Inst Software Engn & Programming Languages D-89069 Ulm Germany

ISBN: (纸本)9783319999067;9783319999050

Constraint Handling Rules (CHR) is usually compiled to logic programming languages. While there are implementations for imperative programming languages such as C and Java, its most popular host language remains Prolog. In this paper, we present ***, a CHR system implemented in javascript, that is suitable for both the server-side and interactive client-side web applications. *** provides (i) an interpreter, which is based on the asynchronous execution model of javascript, and (ii) an ahead-of-time compiler, resulting in synchronous constraint solvers with better performances. Because of the great popularity of javascript, *** is the first CHR system that runs on almost all and even mobile devices, without the need for an additional run-time environment. As an example application we present the *** Playground, an offline-capable web-interface which allows the interactive exploration of CHRs in every modern browser.

关键词： Constraint handling rules javascript Compiler

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Search-Based Test Data Generation for javascript Functions that Interact with the DOM 29

Search-Based Test Data Generation for JavaScript Functions t...

引用

29th IEEE International Symposium on Software Reliability Engineering (ISSRE)

作者： Elyasov, Alexander Prasetya, I. S. W. B. Hage, Jurriaan Univ Utrecht Utrecht Netherlands

ISBN: (纸本)9781538683217

The popularity of javascript (JS) is enormous. Together with HTML and CSS, it is the core technology for modern web development. Because of the dynamic nature and complex interplay with HTML, JS applications are often error-prone and vulnerable. Despite active research efforts to devise intricate static and dynamic analyses to facilitate JS testing, the problem of test data generation for JS code interacting with the DOM has not yet been addressed. In this paper, we present a javascript Evolutionary testing framework with DOM as an Input, called JEDI. In order to reach a target branch, it applies genetic search for relevant input parameters of the JS function in combination with the global DOM state. We conducted an empirical evaluation to study the effectiveness and efficiency of our testing framework. It shows that the genetic with restart algorithm, proposed in this paper, is able to achieve complete branch coverage for all experimental subjects, taking on average 19 seconds per branch.

关键词： javascript DOM search-based testing branch coverage genetic algorithm

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Mastering the Faster Web with PHP, MySQL, and javascript 1

引用

丛书名： []

2018年

作者： Andrew Caya

ISBN: (数字)9781788397711

ISBN: (纸本)9781788392211

Make web applications run faster by using advanced PHP, SQL and javascript techniques Key Features Use a customized PHP stack to create efficient data-driven web applications Ensure seamless implementation of a javascript & HTML 5 CSS based frontend and PHP based backend. Learn about problem identification, best strategies, and UI design patterns as well to build a clean, fast web application Book Description This book will get you started with the latest benchmarking, profiling and monitoring tools for PHP, MySQL and javascript using Docker-based technologies. From optimizing PHP 7 code to learning asynchronous programming, from implementing Modern SQL solutions to discovering Functional javascript techniques, this book covers all the latest developments in Faster Web technologies. You will not only learn to determine the best optimization strategies, but also how to implement them. Along the way, you will learn how to profile your PHP scripts with ***, monitor your Web applications, measure database performance, optimize SQL queries, explore Functional javascript, boost Web server performance in general and optimize applications when there is nothing left to optimize by going beyond performance. After reading this book, you will know how to boost the performance of any Web application and make it part of what has come to be known as the Faster Web. What you will learn Install, confgure, and use profling and benchmarking testing tools Understand how to recognize optimizable data structures and functions to effectively optimize a PHP7 application Diagnose bad SQL query performance and discover ways to optimize it Grasp modern SQL techniques to optimize complex SQL queries Identify and simplify overly complex javascript code Explore and implement UI design principles that effectively enhance the performance Combine web technologies to boost web server performance Who this book is for The audience for this book would be PHP developers who have some basic know

关键词： Faster Web applications High-performance Websites Web optimization PHP PHP 7 HTML 5 & CSS 3 SQL Modern SQL javascript LAMPP XAMPP Blackfire.io TICK Grafana XDebug Siege Varnish HTTP/2 Zend OPCache Docker Linux for PHP Functional progr

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基于机器学习的javascript恶意代码检测方案研究

基于机器学习的JavaScript恶意代码检测方案研究

引用

作者：李敬涛北京邮电大学

学位级别：硕士

随着互联网的高速发展与浏览器性能的不断提升,各类新型Web应用与网站数量呈现明显的上升趋势。近年来,使用javascript编写的恶意代码层出不穷,高速发展的前端技术更带来了新的恶意代码攻击手段。如何准确识别各类javascript恶意代码对... 详细信息

随着互联网的高速发展与浏览器性能的不断提升,各类新型Web应用与网站数量呈现明显的上升趋势。近年来,使用javascript编写的恶意代码层出不穷,高速发展的前端技术更带来了新的恶意代码攻击手段。如何准确识别各类javascript恶意代码对保证用户安全显得尤为重要。本文对基于机器学习的javascript恶意脚本检测方案进行了改进,通过实验验证了改进的javascript恶意脚本检测方案对javascript脚本及包含恶意脚本的HTML页面均可以进行高效准确的检测。具体成果有:1.提出了基于javascript代码特征及HTML与javascript交叉特征的恶意代码检测方案。该方案通过对AST抽象语法树及DOM树的分析,从javascript代码自身及与其交互的HTML两方面分别进行了特征提取,对传统的基于多特征的javascript代码检测方案进行了改进。经验证该检测方案具有更高的准确率和执行效率,可以对恶意代码进行有效的检测。2.提出了针对基于URL分割技术的javascript恶意代码的检测方案。该方案通过对let、const、复杂对象变量的检测扩展了变量声明的提取范围,基于二叉树结构改进了字典对象,并通过对模板字符串、join等复杂函数的检测扩展了变量拼接的检测范围。根据对比实验验证,改进后的方案对此类恶意代码具有更好的检测效果。3.对基于HTML5的新型javascript恶意代码提出了相应的恶意代码检测方案。该方案对使用localStorage等进行混淆的恶意代码进行了混淆特征提取,对使用ServiceWorker等执行恶意行为的代码进行了恶意特征提取。实验结果显示该检测方案能够对HTML5新型恶意代码进行有效检测。

关键词： javascript 代码检测机器学习 HTML5

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基于抗混淆技术的javascript恶意代码检测模型研究

基于抗混淆技术的JavaScript恶意代码检测模型研究

引用

作者：李艳北京邮电大学

学位级别：硕士

javascript是交互式网站开发广泛使用的一种技术,但由于其代码不进行预编译而直接被用户浏览器解释的特性,恶意的javascript容易被当作一种基于网页的攻击手段。而且为了逃避传统的基于静态特征匹配的检测系统的捕获,攻击者往往将恶意的... 详细信息

javascript是交互式网站开发广泛使用的一种技术,但由于其代码不进行预编译而直接被用户浏览器解释的特性,恶意的javascript容易被当作一种基于网页的攻击手段。而且为了逃避传统的基于静态特征匹配的检测系统的捕获,攻击者往往将恶意的javascript代码进行混淆操作,所以如何有效准确地识别出混淆恶意的javascript代码变得尤为重要。本文利用信息论测度知识来检测javascript混淆代码,可以捕获基于统计特征检测器的逃逸攻击,并对混淆代码进行反混淆,最后利用机器学习知识来检测javascript恶意代码。具体工作如下:1.通过对javascript代码语法分析,改进了基于统计特征的javascript混淆代码检测模型。改进后的模型对javascript代码进行N-gram分词并计算相应对象的频率,然后计算信息论测度值,最后通过One-class SVM单分类器进行分类。实验表明,改进的方法达到了更好的检测效果,并且验证了 Bigram分词比Unigram分词达到的效果更好。2.通过对基于统计特征的javascript代码检测模型的分析,构造了针对该模型的逃逸攻击,并提出了基于统计特征和混淆特征的javascript混淆代码检测模型。该模型将提取的javascript代码的混淆特征与统计特征相结合来捕获逃逸攻击。实验表明,该检测模型可以准确捕获构造的逃逸攻击。3.提出了一种基于多类特征的javascript恶意代码检测方案。该方案通过提取基本特征、动态执行特征、攻击特征和字符分割特征四个维度的恶意特征,利用机器学习方法检测javascript恶意代码。通过对比实验,验证了该方案的有效性以及非冗余性。

关键词： javascript 混淆代码检测逃逸攻击恶意代码检测机器学习

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Putting in All the Stops: Execution Control for javascript 2018

Putting in All the Stops: Execution Control for JavaScript

引用

39th ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI)

作者： Baxter, Samuel Nigam, Rachit Politz, Joe Gibbs Krishnamurthi, Shriram Guha, Arjun Univ Massachusetts Amherst Amherst MA 01003 USA Univ Calif San Diego La Jolla CA 92093 USA Brown Univ Providence RI 02912 USA

ISBN: (纸本)9781450356985

Scores of compilers produce javascript, enabling programmers to use many languages on the Web, reuse existing code, and even use Web IDEs. Unfortunately, most compilers inherit the browser's compromised execution model, so long-running programs freeze the browser tab, ininite loops crash IDEs, and so on. The few compilers that avoid these problems sufer poor performance and are diicult to engineer. This paper presents Stopify, a source-to-source compiler that extends javascript with debugging abstractions and blocking operations, and easily integrates with existing compilers. We apply Stopify to ten programming languages and develop a Web IDE that supports stopping, single-stepping, breakpointing, and long-running computations. For nine languages, Stopify requires no or trivial compiler changes. For eight, our IDE is the first that provides these features. Two of our subject languages have compilers with similar features. Stopify's performance is competitive with these compilers and it makes them dramatically simpler. Stopify's abstractions rely on first-class continuations, which it provides by compiling javascript to javascript. We also identify sub-languages of javascript that compilers implicitly use, and exploit these to improve performance. Finally, Stopify needs to repeatedly interrupt and resume program execution. We use a sampling-based technique to estimate program speed that outperforms other systems.

关键词： javascript continuations IDEs

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Hands-on Machine Learning with javascript: Solve complex computational web problems using machine learning

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2018年

作者： Burak Kanber

ISBN: (数字)9781788990301

ISBN: (纸本)9781788998246

A definitive guide to creating an intelligent web application with the best of machine learning and javascript About This Book • Solve complex computational problems in browser with javascript • Teach your browser how to learn from rules using the power of machine learning • Understand discoveries on web interface and API in machine learning Who This Book Is For This book is for you if you are a javascript developer who wants to implement machine learning to make applications smarter, gain insightful information from the data, and enter the field of machine learning without switching to another language. Working knowledge of javascript language is expected to get the most out of the book. What You Will Learn • Get an overview of state-of-the-art machine learning • Understand the pre-processing of data handling, cleaning, and preparation • Learn Mining and Pattern Extraction with javascript • Build your own model for classification, clustering, and prediction • Identify the most appropriate model for each type of problem • Apply machine learning techniques to real-world applications • Learn how javascript can be a powerful language for machine learning In Detail In over 20 years of existence, javascript has been pushing beyond the boundaries of web evolution with proven existence on servers, embedded devices, Smart TVs, IoT, Smart Cars, and more. Today, with the added advantage of machine learning research and support for JS libraries, javascript makes your browsers smarter than ever with the ability to learn patterns and reproduce them to become a part of innovative products and applications. Hands-on Machine Learning with javascript presents various avenues of machine learning in a practical and objective way, and helps implement them using the javascript language. Predicting behaviors, analyzing feelings, grouping data, and building neural models are some of the skills you will build from this book. You will learn how to train your machine learning models

关键词： machine learning deep learning neural networks machine learning algorithms javascript recommendation engine sentimental analysis brain deeplearn.js tensorfire NLP

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Real-Time 3D Graphics with WebGL 2: Build interactive 3D applications with javascript and WebGL 2 (OpenGL ES 3.0), 2nd Edition 2

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2018年

作者： Farhad Ghayour Diego Cantor

ISBN: (数字)9781788837873

ISBN: (纸本)9781788629690

A comprehensive guide with 80+ examples on 3D programming in WebGL 2, covering computer graphics topics such as rendering, 3D math, camera, and more Key Features • Create visually stunning, high-performance 3D applications for the web with WebGL 2 • A complete course on 3D computer graphics: rendering, 3D math, lighting, cameras, and more • Unlock a variety of new and advanced features offered in WebGL 2 Book Description As highly interactive applications have become an increasingly important part of the user experience, WebGL is a unique and cutting-edge technology that brings hardware-accelerated 3D graphics to the web. Packed with 80+ examples, this book guides readers through the landscape of real-time computer graphics using WebGL 2. Each chapter covers foundational concepts in 3D graphics programming with various implementations. Topics are always associated with exercises for a hands-on approach to learning. This book presents a clear roadmap to learning real-time 3D computer graphics with WebGL 2. Each chapter starts with a summary of the learning goals for the chapter, followed by a detailed description of each topic. The book offers example-rich, up-to-date introductions to a wide range of essential 3D computer graphics topics, including rendering, colors, textures, transformations, framebuffers, lights, surfaces, blending, geometry construction, advanced techniques, and more. With each chapter, you will "level up" your 3D graphics programming skills. This book will become your trustworthy companion in developing highly interactive 3D web applications with WebGL and javascript. What you will learn • Understand the rendering pipeline provided in WebGL • Build and render 3D objects with WebGL • Develop lights using shaders, 3D math, and the physics of light reflection • Create a camera and use it to navigate a 3D scene • Use texturing, lighting, and shading techniques to render realistic 3D scenes • Implement object selection and interaction in a 3D

关键词： WebGL 2 OpenGL WebGL Game WebGL Books WebGL Programming 3D Programming javascript ESSL 3D Web Development Game Development Graphics Programming

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Learn Blockchain Programming with javascript: Build your very own Blockchain and decentralized network with javascript and ***

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2018年

作者： Eric Traub

ISBN: (数字)9781789614848

ISBN: (纸本)9781789618822

Explore the essentials of blockchain technology with javascript to develop highly secure bitcoin-like applications Key Features • Develop bitcoin and blockchain-based cryptocurrencies using javascript • Create secure and high-performant blockchain networks • Build custom APIs and decentralized networks to host blockchain applications Book Description Learn Blockchain Programming with javascript begins by giving you a clear understanding of what blockchain technology is. You’ll then set up an environment to build your very own blockchain and you’ll add various functionalities to it. By adding functionalities to your blockchain such as the ability to mine new blocks, create transactions, and secure your blockchain through a proof-of-work you’ll gain an in-depth understanding of how blockchain technology functions. As you make your way through the chapters, you’ll learn how to build an API server to interact with your blockchain and how to host your blockchain on a decentralized network. You’ll also build a consensus algorithm and use it to verify data and keep the entire blockchain network synchronized. In the concluding chapters, you’ll finish building your blockchain prototype and gain a thorough understanding of why blockchain technology is so secure and valuable. By the end of this book, you'll understand how decentralized blockchain networks function and why decentralization is such an important feature for securing a blockchain. What you will learn • Gain an in-depth understanding of blockchain and the environment setup • Create your very own decentralized blockchain network from scratch • Build and test the various endpoints necessary to create a decentralized network • Learn about proof-of-work and the hashing algorithm used to secure data • Mine new blocks, create new transactions, and store the transactions in blocks • Explore the consensus algorithm and use it to synchronize the blockchain network Who this book is for Learn Blockchain Programming

关键词： Blockchain javascript framework Algorithms programming javascript

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