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Cloud computing based detection of malicious URL attacks on Android Smart phones.

机译:基于云计算的Android智能手机上恶意URL攻击的检测。

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摘要

The growing popularity and adoption of Smartphone has made them a target of malicious activities. Malicious activities targeting Smartphones are continuously increasing and are projected to continue to increase as they become more lucrative for cyber criminals worldwide. Common malicious activities involve malicious URLs attacks encountered when browsing the internet through a smart phone. A malicious URL attack can be a drive-by download attack where users unwittingly download an executable malware payload, or it can be a phishing attack where attackers pose as legitimate websites to steal user information. Most solutions for Smartphone security require the presence of anti-virus software or intrusion detection system on the phones. These solutions are constrained by the limited memory, storage, computational resources, and battery power of Smartphone. This type of detection is often hash based and can only detect know malicious URLs but not zero day malicious URL attacks. A real time detection system is needed in order to detect new and unknown malicious URLs using cloud computing to bypass the phones limited computing and battery resources.
机译:智能手机的日益普及和采用使它们成为恶意活动的目标。针对智能手机的恶意活动正在不断增加,并且随着它们变得更有利于全球网络犯罪分子,预计还会继续增加。常见的恶意活动涉及通过智能手机浏览Internet时遇到的恶意URL攻击。恶意URL攻击可以是用户不经意间下载可执行恶意软件有效负载的偷渡式下载攻击,也可以是网络钓鱼攻击,其中攻击者冒充合法网站来窃取用户信息。大多数针对智能手机安全性的解决方案都需要在手机上安装防病毒软件或入侵检测系统。这些解决方案受到智能手机有限的内存,存储,计算资源和电池电量的限制。这种类型的检测通常基于哈希,并且只能检测已知的恶意URL,而不能检测零日恶意URL攻击。为了使用云计算绕过电话有限的计算和电池资源来检测新的和未知的恶意URL,需要一个实时检测系统。

著录项

  • 作者

    Adas, Husam A.;

  • 作者单位

    Tennessee State University.;

  • 授予单位 Tennessee State University.;
  • 学科 Engineering Computer.;Computer Science.
  • 学位 M.S.
  • 年度 2013
  • 页码 131 p.
  • 总页数 131
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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