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EAGER: Collaborative: Towards Understanding the Attack Vector of Privacy Technologies

EAGER: Collaborative: Towards Understanding the Attack Vector of Privacy Technologies
EAGER:协作:了解隐私技术的攻击向量
批准号:
1643249
负责人:
Guevara Noubir
金额:
$12.5万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-09-01 至 2018-08-31

项目摘要

项目成果

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中文摘要
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英文摘要
Advances in privacy-enhancing technologies, including cryptographic mechanisms, standardized security protocols, and infrastructure, significantly improved privacy and had a significant impact on society by protecting users. At the same time, the success of such infrastructure has attracted abuse from illegal activities, including sophisticated botnets and ransomware, and has become a marketplace for drugs and contraband; botnets rose to be a major tool for cybercrime and their developers proved to be highly resourceful. It is contended that the next waves of botnets will extensively attempt to subvert privacy infrastructure and cryptographic mechanisms, which has the potential of both undermining their legal basis and future performance. This project will develop the theoretical and experimental foundations for analyzing, monitoring and mitigating the next generation of botnets that subvert privacy-enhancing technologies. Towards that goal, the project will develop tools for: 1) Analytical framework: the project develops a concrete strategy for approaching the detection, characterization, and mitigation of abuse of privacy infrastructure by crystallizing an analytical framework for reasoning about such botnets. This includes the identification
and formalization of their key properties (e.g., traceback and tomography resiliency, stealthy monetization), enabling mechanisms (e.g., IP address de-coupling, control/data traffic indistinguishability), fundamental limitations, and evaluation metrics. The project will explore analogous scenarios of abuse in future Internet architectures where anonymity is facilitated by design. 2) Monitoring and analysis: the project develops an experimental framework to track activities of the next generation of botnets for scalable and effective mitigation. Such framework will exploit their ideal design and behavioral properties, and draws on various preliminary measurement results in related contexts. 3) Mitigation: The project has the ultimate
goal of proactively developing an arsenal of mitigation techniques grounded in a sound theoretical foundation, analyzed within the theoretical framework, and evaluated within the experimental framework. The mitigation techniques span the gamut of increasing the cost of operating such botnets, to actively containing
and neutralizing bots, to proposing modifications to the privacy-enhancing protocols. The results of this project will be communicated with the concerned communities for having a direct and immediate impact on existing and future privacy infrastructure. The project will also develop educational material to train students in the foundations and systems for enabling privacy enhancing technologies.
期刊论文(6)
专著(0)
科研奖励(0)
会议论文
QOI: Assessing Participation in Threat Information Sharing
QOI:评估威胁信息共享的参与情况
DOI: 10.1109/icassp.2018.8462036
发表时间: 2018
期刊: ICASSP 2018
影响因子: --
作者: [Park, Jemon, Alasmary, Hisham, Al-Ibrahim, Omar, Kamhoua, Charlies, Kwiat, Kevin, Njilla, Laurent, Mohaisen, Aziz]
通讯作者: Mohaisen, Aziz
Trusted Code Execution on Untrusted Platforms using Intel SGX
使用 Intel SGX 在不可信平台上执行可信代码
DOI: --
发表时间: 2016
期刊: Virus bulletin
影响因子: --
作者: [Guevara Noubir, Amirali Sanatinia]
通讯作者: Guevara Noubir, Amirali Sanatinia
DOI: 10.1109/cns.2016.7860478
发表时间: 2016-10
期刊: 2016 IEEE Conference on Communications and Network Security (CNS)
影响因子: --
作者: [Amirali Sanatinia;G. Noubir]
通讯作者: Amirali Sanatinia;G. Noubir
DOI: --
发表时间: 2018
期刊: International Conference on Security and Privacy in Communication Systems
影响因子: --
作者: [Anwar, Afsah, Khormali, Aminollah, Nyang, DaeHun, Mohaisen, Aziz]
通讯作者: Mohaisen, Aziz
Renewal: SFS @ Northeastern - a multi-disciplinary approach
  • 批准号:
    1661532
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $460.0万
  • 财政年份:
    2017
  • 负责人:
    Guevara Noubir
  • 依托单位:
EAGER: USBRCCR: HealthSense: Assessing and Protecting Privacy in Wireless Wearable Sensor-Generated Medical Data
  • 批准号:
    1740907
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.0万
  • 财政年份:
    2017
  • 负责人:
    Guevara Noubir
  • 依托单位:
TWC: Medium: Collaborative: Strengthening Wi-Fi Network Wide
  • 批准号:
    1409453
  • 项目类别:
    Standard Grant
  • 资助金额:
    $69.97万
  • 财政年份:
    2014
  • 负责人:
    Guevara Noubir
  • 依托单位:
CSR: Small: Privacy and Security for MapReduce Clouds with PASMAC
  • 批准号:
    1218197
  • 项目类别:
    Standard Grant
  • 资助金额:
    $49.44万
  • 财政年份:
    2012
  • 负责人:
    Guevara Noubir
  • 依托单位:
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