Distributed Component-Based Crawler for AJAX Applications

Suryanshu Raj, R. Krishna, A. Nayak
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引用次数: 4

Abstract

Crawling web applications is important for indexing websites as well as for testing vulnerabilities present in the website. The research area of crawling traditional websites has made significant progress and many software suites are available which can carry deep crawls of large traditional websites in limited time. The modern AJAX (asynchronous JavaScript and XML) based websites, however, cannot be crawled by traditional crawlers. The area is open to research and many open-source software suites are being developed. However, the software suites developed so far still face the issues of state space explosion, poor time efficiency and incomplete content coverage. This research work aims to develop a distributed component-based crawler for deterministic AJAX applications to reduce state space explosion, improve time efficiency and provide complete content coverage. It uses a combination of multiple approaches to develop the solution. Firstly, it takes into account a Component-Based approach to reduce state space explosion. It then takes a Distributed-Crawling approach to process the events concurrently in order to improve efficiency. It employs a Breadth First Search (BFS) strategy to provide complete content coverage.
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用于AJAX应用程序的分布式基于组件的爬虫
爬行web应用程序对于索引网站以及测试网站中存在的漏洞都很重要。传统网站抓取的研究领域已经取得了很大的进展,已经有很多软件套件可以在有限的时间内对大型传统网站进行深度抓取。然而,现代基于AJAX(异步JavaScript和XML)的网站不能被传统的爬虫抓取。该领域对研究开放,许多开源软件套件正在开发中。但目前开发的软件套件仍面临状态空间爆炸、时间效率差、内容覆盖不全等问题。本研究工作旨在为确定性AJAX应用开发一种基于分布式组件的爬虫,以减少状态空间爆炸,提高时间效率并提供完整的内容覆盖。它结合使用多种方法来开发解决方案。首先,它考虑了基于组件的方法来减少状态空间爆炸。然后,它采用分布式爬行方法并发地处理事件,以提高效率。它采用广度优先搜索(BFS)策略来提供完整的内容覆盖。
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