...
首页> 外文期刊>International Journal of Information Technology and Computer Science >Experimental Analysis of Browser based Novel Anti-Phishing System Tool at Educational Level
【24h】

Experimental Analysis of Browser based Novel Anti-Phishing System Tool at Educational Level

机译:基于浏览器的新型反网络钓鱼系统工具的实验分析

获取原文

摘要

In the phishing attack, the user sends their confidential information on mimic websites and face the financial problem, so the user should be informed immediately about the visiting website. According to the Third Quarter Phishing Activity Trends Report, there are 55,282 new phishing websites have been detected in the month of July 2014. To solve the phishing problem, a browser based add-on system may be one of the best solution to aware the user about the website type. In this paper, a novel browser based add-on system is proposed and compared its performance with the existing anti-phishing tools. The proposed anti-phishing tool 'ePhish' is compared with the existing browser based anti-phishing toolbars. All the anti-phishing tools have been installed in computer systems at an autonomous college to check their performance. The obtained result shows that if the task is divided into a group of systems, it can give better results. For different phishing features, the add-on system tool show around 97 percentage successful results at different case conditions. The current study would be very helpful to countermeasure the phishing attach and the proposed system is able to protect the user by phishing attacks. Since the system tool is capable of handling and managing the phishing website details, so it would be helpful to identify the category of the websites.
机译:在网络钓鱼攻击中,用户在模拟网站上发送其机密信息并面临财务问题,因此应立即将访问网站的情况告知用户。根据第三季度网络钓鱼活动趋势报告,2014年7月检测到55,282个新的网络钓鱼网站。为了解决网络钓鱼问题,基于浏览器的附加系统可能是了解用户的最佳解决方案之一。关于网站类型。本文提出了一种新颖的基于浏览器的附加系统,并将其性能与现有的反网络钓鱼工具进行了比较。将拟议的反网络钓鱼工具“ ePhish”与现有的基于浏览器的反网络钓鱼工具栏进行了比较。所有反网络钓鱼工具均已安装在自治学院的计算机系统中,以检查其性能。获得的结果表明,如果将任务分为一组系统,则可以提供更好的结果。对于不同的网络钓鱼功能,附加系统工具在不同情况下显示的成功结果约为97%。当前的研究对对抗网络钓鱼的附着非常有帮助,所提出的系统能够通过网络钓鱼攻击来保护用户。由于系统工具能够处理和管理网络钓鱼网站的详细信息,因此识别网站的类别将很有帮助。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号