android -金融恶意软件攻击、检测方法及现状调查

Tanya Gera, Jaiteg Singh, Deepak Thakur, Amandeep Kaur
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引用次数: 2

摘要

Android是开源的,也是最流行的操作系统。智能手机的普及和依赖促使攻击者利用Android漏洞获取金钱利益。在过去的十年里,各种各样的恶意软件攻击被报道过。如今,最受欢迎和最具威胁性的移动恶意软件是隐形恶意软件。这是一种特殊的恶意软件,用于在未经用户同意的情况下勒索金钱和数据。像勒索软件这样的隐形攻击不仅会造成金钱和数据的损失,还可能导致声誉的损失。勒索软件即服务、加密挖矿、基于物联网的设备、智能设备和基于云的设备等新兴趋势也鼓励了勒索软件的传播。在现有文献中存在许多恶意软件分析和检测的解决方案。重要的恶意软件分析和检测技术,从十年已经提到,并以我们所知的最好的,当代技术不精确和完美。文章主要取自知名期刊,建立语料库进行研究。本文对隐身恶意软件进行了全面的研究。主要的对策是面向原始恶意软件检测技术。对现有框架的研究有助于产生一份文献摘要。未来的研究人员可能会仔细观察文献差距,以弥补不足的领域。本研究的主要贡献之一是提供了Android隐形恶意软件领域的现状和一些仍未解决的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Survey on Andro-Financial Malware Attacks, Detection Methods and Current Issues
Android is open source and the most popular operating system. Increased popularity and dependency on Smartphone have instigated attackers to exploit Android vulnerabilities for monetary benefits. Over the past decade, various malware attacks had been reported. These days, the most popular as well as threatening mobile malware is stealth malware. These are special malware used to extort money in return of access and data without user’s consent. Stealth attacks like Ransomware are responsible for the loss of not only money and data but may also result in loss of reputation. Emerging trends such as ransomware-as-a-service, crypto-mining, IOT based devices, smart devices and cloud-based devices have too encourages the spread of ransomware. There exist many solutions for malware analysis and detection in existing literature. Significant malware analysis and detection technique from the ten years have been referred and to the best of our knowledge, contemporary techniques sans precision and perfection. Articles were mainly taken from reputed journals to build the corpus for study. This work presents comprehensive survey on stealth malware. Major countermeasures are oriented towards primitive malware detection techniques. The study of existing frameworks helped to produce a literature summary. Future researchers may carefully observe literature gap to work on lacking areas. One of main contribution of this study to provide present state of art and a few still open problems in the field of Android stealth malware.
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