Smartphones with the platforms of applications are gaining extensive attention and popularity. The enormous use of different applications has paved the way to numerous security threats. The threats are in the form of attacks such as permission control attacks, phishing attacks, spyware attacks, botnets, malware attacks, privacy leakage attacks. Moreover, other vulnerabilities include invalid authorization of apps, compromise on the confidentiality of data, invalid access control. In this paper, an application-based attack modeling and attack detection is proposed. Due to A novel attack vulnerability is identified based on the app execution on the smartphone. The attack modeling involves an end-user vulnerable application to initiate an attack. The vulnerable application is installed at the background end on the smartphone with hidden visibility from the end-user. Thereby, accessing the confidential information. The detection model involves the proposed technique of an Application-based Behavioral Model Analysis (ABMA) scheme to address the attack model. The model incorporates application-based comparative parameter analysis to perform the process of intrusion detection. The ABMA is estimated by using the parameters of power, battery level, and the data usage. Based on the source internet accessibility, the analysis is performed using three different configurations as, WiFi, mobile data, and the combination of the two. The simulation results verify and demonstrates the effectiveness of the proposed model.
翻译:应用平台的智能手机正在受到广泛的关注和欢迎。各种应用软件的巨大使用为许多安全威胁铺平了道路。威胁的形式有:许可控制攻击、网钓攻击、间谍软件攻击、肉网、恶意软件攻击、隐私泄漏攻击等攻击。此外,其他弱点包括应用程序的无效授权、数据保密的妥协、无效访问控制等。在本文中,提议采用基于应用的攻击模型和攻击探测。由于在智能手机上应用软件后发现一种新的攻击弱点,因此确定攻击弱点。攻击模型涉及发起攻击的最终用户脆弱应用程序。在智能手机的背景端安装了脆弱应用程序,最终用户对此有隐藏的可见度。访问机密信息。检测模型包括基于应用程序的应用模型分析技术、数据保密性、无效访问控制。模型包含基于应用的比较参数分析,以进行入侵探测过程。根据电源参数、电池级别和数据使用情况来估计反弹道导弹系统。基于源码、互联网的可读性、三个拟议版本的移动版本分析、三个移动版本的版本。