Analysis Based on iOS Application Malicious Behavior Detection

التفاصيل البيبلوغرافية
العنوان: Analysis Based on iOS Application Malicious Behavior Detection
المؤلفون: Yin He Wu, Dai Ping Li
المصدر: Applied Mechanics and Materials. :2321-2325
بيانات النشر: Trans Tech Publications, Ltd., 2014.
سنة النشر: 2014
مصطلحات موضوعية: Computer science, Order (business), Mobile phone, Process (computing), General Medicine, Computer security, computer.software_genre, Mobile device, computer
الوصف: Due to the highly developed modern technology,Smart phones and other mobile devices are become more and more universal. Most of those devices are used to process or store sensitive and confidential data.Consequently,it may cause many problems,such as privacy disclosure,mobile phone virus,spyware,etc. In order to solve those issues,We need to monitor applications`s behaviour to tell those malicious ones. Here we use MobileSubstrate to hook every sensitive system API the application invokes in iOS planform,and send this invocation to our matching algorithm,the matching algorithm will evaluate if the API are being invoked in a safe way according to Application API Review Model.If a application trying to call some APIs which is totally unnecessary,we can reject this invoke and give user a warning.
تدمد: 1662-7482
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::e7dffc553b4af38e4cb5106d703db377
https://doi.org/10.4028/www.scientific.net/amm.602-605.2321
حقوق: CLOSED
رقم الأكسشن: edsair.doi...........e7dffc553b4af38e4cb5106d703db377
قاعدة البيانات: OpenAIRE