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A Solution to Detect Phishing in Android Devices

机译:在Android设备中检测网络钓鱼的解决方案

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Android OS is currently one of the most popular operating system in smartphones. Majority of the population today uses android phone. Use of smartphone is not bounded to calling, messaging apps or Video Chats but the users use it for financial transactions as well. There is an exponential growth in use of mobile services. Phishing is one of the major security threats in mobile devices for various reasons. Mobile phishing is dangerous because of hardware limitations of the device and the user attitude while using services on the device. Phishing is widely investigated in desktop environment but there is very little research on techniques to detect phishing on Android Device. The proposed system is a mechanism for detection of phishing on Android mobile devices. It is a hybrid solution to defend against zero-day phishing attacks. It includes 5 modules; URL Extraction, Static Analysis of URL, Web Page Foot printing, URL Based Heuristics and the SVM classifier. The system was evaluated using a dataset with 200 phishing websites URLs and 200 legitimate website URLs. The results show that 92% accuracy was achieved by the system.
机译:Android OS当前是智能手机中最受欢迎的操作系统之一。今天,大多数人口使用android手机。智能手机的使用不限于通话,消息收发应用程序或视频聊天,但用户也可以将其用于金融交易。移动服务的使用呈指数增长。出于各种原因,网络钓鱼是移动设备中的主要安全威胁之一。由于设备的硬件限制以及在设备上使用服务时用户的态度,移动网络钓鱼非常危险。网络钓鱼在台式机环境中得到了广泛的研究,但是关于在Android设备上检测网络钓鱼的技术的研究很少。提出的系统是一种用于检测Android移动设备上的网络钓鱼的机制。它是一种防御零日钓鱼攻击的混合解决方案。它包括5个模块; URL提取,URL静态分析,Web页面足迹,基于URL的启发式算法和SVM分类器。使用具有200个网络钓鱼网站URL和200个合法网站URL的数据集对系统进行了评估。结果表明,该系统实现了92%的精度。

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