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TC: Small: Countering Location Spoofing Attacks: Multi-Model Architecture with Privacy-Enhancing Techniques

TC: Small: Countering Location Spoofing Attacks: Multi-Model Architecture with Privacy-Enhancing Techniques
TC:小:反击位置欺骗攻击:采用隐私增强技术的多模型架构
批准号:
1115375
负责人:
Lance Fortnow
金额:
$50.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-09-01 至 2016-08-31

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中文摘要
翻译
位置是一种信息,可以被各种应用程序用来为商业和商业成功提供新的机会,但同时也可能被滥用。这项研究旨在开发一种多模型架构,使用隐私增强技术来对抗位置欺骗攻击,同时尊重移动用户的位置隐私。多模型架构促进了替代定位模型和多信标方法的并行使用,从而使发起一致的位置欺骗攻击变得更加困难。伪身份混淆技术被结合到基于移动性感知混合区的多模式防御体系结构中,以解决持续位置验证的法律、社会和伦理影响。在该技术中,移动用户可以定制混合区的设置,以满足他们个性化的隐私偏好。该研究的智力价值包括一种革命性的方法,倡导隐私感知和可定制的防御体系结构和算法,以检测和过滤受攻击的移动节点。该检测和过滤是基于客户端要求的位置和系统确定的位置之间的不一致性以及多个信标之间的不一致性的量。这项研究的更广泛影响是双重的。首先,开发一种系统和增强隐私的方法来对抗位置欺骗威胁,将有助于实现广泛的订阅驱动的基于位置的服务,如基于位置的广告、基于位置的内容传播和计费以及基于位置的娱乐。第二,将通过教育活动以及妇女和少数群体参与拟议的研究,向更广泛的受众传播技术成果和概念验证原型。位置欺骗对策与位置隐私意识的独特结合是对旨在通过技术、法律、社会和伦理考虑应对安全和位置隐私挑战的多学科努力的直接贡献,并增加了社会对网络基础设施的信心。
英文摘要
Location is a type of information that can be used by various applications to provides new opportunities for business and commercial success, and at the same time may be misused. This proposed research aims at developing a multi-model architecture with privacy-enhancing techniques for countering location spoofing attacks while respecting location privacy of mobile users. The multi-model architecture promotes the parallel use of alternative positioning models and multi-beacon methods to make it harder to launch consistent location spoofing attacks. A pseudo-identity obfuscation technique is incorporated into the multi-model defense architecture based on mobility-aware mix-zones to address the legal, social, and ethical implications of continuous location verifications. In this technique, mobile users may customize the settings of mix-zones in order to meet their personalized privacy preference.The intellectual merit of the proposed research includes a transformative approach that advocates privacy-aware and customizable defense architecture and algorithms to detect and filter out compromised mobile nodes. This detection and filtering is based on the amount of inconsistency between the client-claimed location and the system-determined location as well as the amount of inconsistency among multiple beacons. The broader impacts of this research are two-fold. First, the development of a systematic and privacy enhancing approach for countering location spoofing threats will help enabling a wide range of subscription-driven location based services, such as location-based advertisements, location-based content dissemination and billing, and location-based entertainment. Second, the technical results and the proof-of-concept prototype will be disseminated to a broader audience through educational activities and involvement of women and minority in the proposed research. The unique combination of location spoofing countermeasures with a location privacy awareness is a direct contribution to the multi-disciplinary efforts aimed at meeting the security and location privacy challenges with technical, legal, social, and ethical considerations, and increases the societal confidence in the cyber infrastructure.
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