作者: Sharvari Prakash Chorghe , Narendra Shekokar
DOI: 10.1007/978-3-319-49806-5_25
关键词: World Wide Web 、 Heuristics 、 Phishing 、 Android (operating system) 、 Computer security 、 Static analysis 、 Mobile device 、 Web page 、 Support vector machine 、 Population 、 Computer science
摘要: Android OS is currently one of the most popular operating system in smartphones. Majority population today uses android phone. Use smartphone not bounded to calling, messaging apps or Video Chats but users use it for financial transactions as well. There an exponential growth mobile services. Phishing major security threats devices various reasons. Mobile phishing dangerous because hardware limitations device and user attitude while using services on device. widely investigated desktop environment there very little research techniques detect Device. The proposed a mechanism detection devices. It hybrid solution defend against zero-day attacks. includes 5 modules; URL Extraction, Static Analysis URL, Web Page Foot printing, Based Heuristics SVM classifier. was evaluated dataset with 200 websites URLs legitimate website URLs. results show that 92% accuracy achieved by system.