Virtual Laboratory and Curriculum Development for Secure Mobile Computing

安全移动计算的虚拟实验室和课程开发

基本信息

  • 批准号:
    1516425
  • 负责人:
  • 金额:
    $ 29.96万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2015
  • 资助国家:
    美国
  • 起止时间:
    2015-09-15 至 2018-08-31
  • 项目状态:
    已结题

项目摘要

The "Virtual Laboratory and Curriculum Development for Secure Mobile Computing" project at the University of Texas at Dallas (UTD) will develop a set of courses and a virtual laboratory in mobile system security with an emphasis on securing smart phones. The courses that will be developed will include topics such as Android taint analysis using existing tools or development of new tools, scalable Android security threat analysis on applications (apps), and smart phone forensics. To support the courses a virtual laboratory will be developed that will allow students to experiment with secure mobile computing. The laboratory will be available via a web-based interface will allow users, from around the country, to access the resource on a 24/7 basis. Students that participate in the courses and the associated virtual laboratory will be in a position to address and mitigate security concerns in in sensitive domains such as banking, military operations, healthcare, and law enforcement, where there is a rising danger associated with malware targeted at mobile devices. This project will provide opportunities for students to carry out coursework with extensive laboratory exercises and to participate in programming competitions in smart phone security. Project evaluation will be overseen by two external evaluators. Evaluation will be based on feedback obtained from students and users of the virtual laboratory. Students will be surveyed while they are in school, at graduation, and on a monthly basis the year after they have graduated. This will allow the evaluation team to determine the efficacy of the tools that will be developed as a result of this project. Results of this work will be published in journals and at conferences such as ACM TISSEC, IEEE TDSC, IEEE S&P, ACM CCS, NDSS and USENIX Security. The virtual laboratory will be incorporated in security competitions that will help to further spread the adoption of this work beyond that of the host institution.
德克萨斯大学达拉斯分校(UTD)的“安全移动计算虚拟实验室和课程开发”项目将开发一套移动系统安全课程和一个虚拟实验室,重点是保护智能手机。将开发的课程将包括诸如使用现有工具或开发新工具的Android污染分析,应用程序(应用程序)上可扩展的Android安全威胁分析和智能手机取证等主题。为了支持这些课程,将开发一个虚拟实验室,让学生实验安全的移动计算。该实验室将通过基于网络的界面提供,将允许来自全国各地的用户全天候访问资源。参加课程和相关虚拟实验室的学生将能够解决和减轻银行、军事行动、医疗保健和执法等敏感领域的安全问题,这些领域与针对移动设备的恶意软件相关的危险正在上升。这个项目将为学生提供机会,通过广泛的实验室练习来完成课程作业,并参加智能手机安全方面的编程竞赛。项目评价将由两名外部评价人员监督。评估将基于从学生和虚拟实验室用户那里获得的反馈。学生将在在校期间、毕业时以及毕业后的一年内接受每月一次的调查。这将允许评估小组确定将作为这个项目的结果而开发的工具的功效。这项工作的结果将在ACM TISSEC、IEEE TDSC、IEEE s&p;P、ACM CCS、NDSS和USENIX Security等期刊和会议上发表。虚拟实验室将被纳入安全竞赛,这将有助于进一步将这项工作推广到主办机构之外。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Latifur Khan其他文献

A study of the model and algorithms for handling location-dependent continuous queries
  • DOI:
    10.1007/s10115-005-0196-7
  • 发表时间:
    2005-04-20
  • 期刊:
  • 影响因子:
    3.100
  • 作者:
    Manish Gupta;Manghui Tu;Latifur Khan;Farokh Bastani;I-Ling Yen
  • 通讯作者:
    I-Ling Yen
無線アドホック連合学習 ~ 完全分散型の協調的機械学習 ~
无线临时联邦学习 - 全分布式协作机器学习 -
  • DOI:
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Hossain Md Delwar;Hideya Ochiai;Latifur Khan;Youki Kadobayashi;落合秀也
  • 通讯作者:
    落合秀也
Wi-Fiの信号強度を用いた自律分散強調学習による広域自己位置推定
使用 Wi-Fi 信号强度的自主分布式重点学习进行广域自身位置估计
  • DOI:
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Sadaf MD Halim;Muhammad Delwar Hossain;Latifur Khan;Hideya Ochiai;Hiroyuki Inoue;Kevin W. Hamlen;Anoop Singhal;Youki Kadobayashi;鈴木健吾・落合秀也・江崎 浩;杉崎勇介・落合秀也・江崎 浩
  • 通讯作者:
    杉崎勇介・落合秀也・江崎 浩
Wireless Ad-Hoc Federated Learningにおける前方誤り訂正による機械学習モデルの交換手法
无线自组织联合学习中使用前向纠错的机器学习模型交换方法
  • DOI:
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Sadaf MD Halim;Muhammad Delwar Hossain;Latifur Khan;Hideya Ochiai;Hiroyuki Inoue;Kevin W. Hamlen;Anoop Singhal;Youki Kadobayashi;鈴木健吾・落合秀也・江崎 浩;杉崎勇介・落合秀也・江崎 浩;伊藤吉彦・落合秀也・江崎 浩;江口航志・落合秀也・江崎 浩;長屋健太郎・落合秀也・江崎 浩
  • 通讯作者:
    長屋健太郎・落合秀也・江崎 浩
Ontology based policy interoperability in geo-spatial domain
  • DOI:
    10.1016/j.csi.2010.03.011
  • 发表时间:
    2011-03-01
  • 期刊:
  • 影响因子:
  • 作者:
    Mohammad Farhan Husain;Tahseen Al-Khateeb;Mohmmad Alam;Latifur Khan
  • 通讯作者:
    Latifur Khan

Latifur Khan的其他文献

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{{ truncateString('Latifur Khan', 18)}}的其他基金

Research and Educational Activities at IEEE International Conference on Data Engineering (ICDE) 2020
2020 年 IEEE 国际数据工程会议 (ICDE) 的研究和教育活动
  • 批准号:
    2019682
  • 财政年份:
    2020
  • 资助金额:
    $ 29.96万
  • 项目类别:
    Standard Grant
Collaborative Research: EAGER: SaTC-EDU: Secure and Privacy-Preserving Adaptive Artificial Intelligence Curriculum Development for Cybersecurity
合作研究:EAGER:SaTC-EDU:安全和隐私保护的网络安全自适应人工智能课程开发
  • 批准号:
    2039542
  • 财政年份:
    2020
  • 资助金额:
    $ 29.96万
  • 项目类别:
    Standard Grant
SATC: EDU: Curriculum Development for Secure Blockchain Technologies
SATC:EDU:安全区块链技术课程开发
  • 批准号:
    1931800
  • 财政年份:
    2020
  • 资助金额:
    $ 29.96万
  • 项目类别:
    Standard Grant
Collaborative Research: ATD: Statistical Detection of New Patterns and Potential Threats in Geospatial Sequences of Social and Political Events
合作研究:ATD:社会和政治事件地理空间序列中新模式和潜在威胁的统计检测
  • 批准号:
    1737978
  • 财政年份:
    2017
  • 资助金额:
    $ 29.96万
  • 项目类别:
    Standard Grant
MRI: Development of an Instrument for Assured Cloud Computing
MRI:开发有保障的云计算仪器
  • 批准号:
    1229652
  • 财政年份:
    2012
  • 资助金额:
    $ 29.96万
  • 项目类别:
    Standard Grant
Travel Grant for International Symposium on Spatial and Temporal Databases (SSTD), 2011
时空数据库国际研讨会 (SSTD) 旅费资助,2011
  • 批准号:
    1133452
  • 财政年份:
    2011
  • 资助金额:
    $ 29.96万
  • 项目类别:
    Standard Grant

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