课题基金 / 基金详情

Mobile platform security

Mobile platform security
移动平台安全
批准号:
452443-2013
负责人:
Miri, Ali
金额:
$1.82万
依托单位:
依托单位国家:
加拿大
项目类别:
Engage Grants Program
财政年份:
2013
资助国家:
加拿大
项目状态:
已结题
起止时间:
2013-01-01 至 2014-12-31
关键词:

项目摘要

项目成果

Miri, Ali的其他基金

相似基金

相关文献

中文摘要
翻译
随着多用途移动平台的功能和受欢迎程度的提高,它们正在吸引越来越多的恶意攻击。网络安全公司卡巴斯基实验室在2011年报告了6000个新的移动恶意软件样本,2012年报告了3万多个样本。在这个项目中,我们计划确定使用的关键软件和硬件功能,并对这些攻击在不同操作系统上的有效性和影响的异同进行分类。我们将尝试隔离移动网络中最常见的恶意软件传播方法,以及当前使用的监控方案及其缺点。
英文摘要
As multi-purpose mobile platforms grow in power and popularity, they are attracting a growing number of malicious attacks. The online security firm Kaspersky Lab, which had reported 6,000 new mobile malware samples in 2011, reported more than 30,000 samples in 2012. In this project, we plan to to identify the key software and hardware features used, and classify similarities and differences in the effectiveness and impact of these attacks on different operating systems. We will try to isolate the most common methods of malware propagation in a mobile network, and the current monitoring schemes used and their shortcomings.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Security, Scalability and Agility in Distributed Network and Storage Systems
  • 批准号:
    RGPIN-2018-06749
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.48万
  • 财政年份:
    2022
  • 负责人:
    Miri, Ali
  • 依托单位:
Security, Scalability and Agility in Distributed Network and Storage Systems
  • 批准号:
    RGPIN-2018-06749
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.48万
  • 财政年份:
    2021
  • 负责人:
    Miri, Ali
  • 依托单位:
Security, Scalability and Agility in Distributed Network and Storage Systems
  • 批准号:
    RGPIN-2018-06749
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.48万
  • 财政年份:
    2020
  • 负责人:
    Miri, Ali
  • 依托单位:
Security, Scalability and Agility in Distributed Network and Storage Systems
  • 批准号:
    RGPIN-2018-06749
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.48万
  • 财政年份:
    2019
  • 负责人:
    Miri, Ali
  • 依托单位:
国内基金
海外基金
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information