The increase in functionality and service offerings of mobile devices and mobile networks has prompted the need to offer better security for these devices. The number of malware on mobile devices has been increasing steadily over the last couple of years. As this trend looks to continue, protection for mobile devices against malware is becoming increasingly important. In this paper, we describe a virus scanning system on mobile devices using a signature based detection method. Specifically, we aim to optimize scanning speed and memory usage which are both very important considerations for the low memory and low power mobile devices. We present a method where we store virus signature hash values in a hash table for fast matching. Additionally, we also speed up the scanning by first matching signature cuts which represent portions of signatures least likely to occur in normal files before matching the entire signature. We evaluate the scanning performance on a Symbian OS mobile device and obtaingood results.
移动设备和移动网络的功能和服务产品的增加,促使需要为这些设备提供更好的安全性。在过去的几年中,移动设备上的恶意软件数量一直在稳定增长。随着这种趋势持续下去,针对移动设备的恶意软件防护变得越来越重要。在本文中,我们使用基于签名的检测方法描述了移动设备上的病毒扫描系统。具体来说,我们旨在优化扫描速度和内存使用率,这对于低内存和低功耗移动设备而言都是非常重要的考虑因素。我们提出了一种方法,其中我们将病毒签名哈希值存储在哈希表中以进行快速匹配。此外,我们还通过首先匹配签名剪切来加快扫描速度,这些签名剪切代表在匹配整个签名之前代表正常文件中最不可能出现的签名部分。我们评估了在Symbian OS移动设备上的扫描性能,并获得了良好的结果。 P>
Smobile Systems, Columbus, OH;
机译:双线性配对的移动设备有效代理签名方案
机译:在移动设备上基于签名的高效恶意软件检测
机译:在移动设备上基于签名的高效恶意软件检测
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机译:节能计算:数据中心,移动设备和移动云
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