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Intelligent Security Model of Smart Phone Based on Human Behavior in Mobile Cloud Computing

机译:移动云计算中基于人类行为的智能手机智能安全模型

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Diverse researches following the advancement of IT technology and emergence of smart devices are common in current research. In particular, the most commercialized smart device, the smart phone, provides convenient communication among users due to easy portability and real-time information sharing within a diverse system. Moreover, spatial and temporal use of smart devices greatly increased because these devices are capable of performing the same functions as a desktop personal computer, making smart phones extremely popular. However, research on smart phones has mainly focused on the convenience of the services offered on these devices, while the issue of security has been neglected. Smart phones are vulnerable to diverse, malicious attacks, which have increased as new functions are developed and commonly used. For this reason, a number of applications were developed to detect a variety of malicious codes in smart phones and prevent private information leakage. However, due to the difficulties of recognizing and responding to attacks, such as advanced persistent threats (APTs), an intelligent security model is urgently required. This paper suggests intelligent security model of smart phone based on human behavior in mobile cloud computing to detect diverse types of malicious code in smart phones and respond to advanced attacks, such as APTs. The suggested intelligent security model of smart phone securely protects users from private information leaks and illegal billing action. Moreover, intelligent response to malicious, difficult-to-detect code is provided by a user behavior-based intelligent analysis, which makes it possible to shut down network, registry, drive, and system accessibility and to notify users to respond to malicious attacks.
机译:随着IT技术的发展和智能设备的出现,各种各样的研究在当前研究中很普遍。特别是,由于各种系统中的便捷便携性和实时信息共享,最商业化的智能设备,即智能电话,在用户之间提供了便捷的通信。此外,由于智能设备能够执行与台式个人计算机相同的功能,因此智能设备在空间和时间上的使用大大增加,从而使智能电话非常受欢迎。然而,对智能电话的研究主要集中在这些设备上提供的服务的便利性上,而安全性问题却被忽略了。智能手机容易受到各种恶意攻击的攻击,随着新功能的开发和普遍使用,这种攻击越来越多。因此,开发了许多应用程序来检测智能手机中的各种恶意代码并防止私人信息泄漏。但是,由于难以识别和响应诸如高级持续威胁(APT)等攻击,因此迫切需要一种智能安全模型。本文提出了一种基于移动云计算中人类行为的智能手机智能安全模型,以检测智能手机中各种类型的恶意代码并响应高级攻击,例如APT。建议的智能手机智能安全模型可以安全地保护用户免受私人信息泄露和非法计费行为的侵害。此外,基于用户行为的智能分析提供了对恶意,难以检测的代码的智能响应,这使得关闭网络,注册表,驱动器和系统可访问性并通知用户对恶意攻击做出响应成为可能。

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