探讨网络爬虫和反爬虫技术在大数据时代的作用

Fan Zhou, Yang Wang
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引用次数: 0

摘要

在大数据时代,网络爬虫以更低的成本和更高的效率从互联网上获取资源和信息,给企业和个人带来了很多便利。然而,任何事情都有两面性,因为恶意爬虫会给网站带来无法估量的威胁和损失。为了防止网络爬虫被滥用甚至发展成恶意爬虫,网站通常会根据ip访问频率、浏览页面速度、账号登录、输入captcha、js加密、ajax混淆等技术进行反爬虫。反爬虫不能用特定的技术完全阻止爬虫,而只能找到增加攻击者爬行成本的方法,迫使捕获方在权衡成本效益后做出正确的选择。
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Exploring The Role of Web Crawler and Anti-Crawler Technology in Big Data Era
In the era of big data, with lower costs and higher efficiency, web crawlers access resources and information from the Internet, bringing a lot of convenience to businesses and individuals. Nevertheless, there are two sides to everything, as malicious crawlers bring incalculable threats and losses to websites. In order to prevent web crawlers from being abused or even developing into malicious crawlers, web sites usually perform anti-crawler based on techniques such as ip access frequency, browsing page speed, account login, input captcha, js encryption, ajax obfuscation, etc. Anti-crawlers cannot completely block crawlers with a particular technique, but only find ways to increase the cost of crawling for attackers, forcing the catching party to make the right choice after weighing the cost-benefit.
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