FIDC: A framework for improving data credibility in mobile crowdsensing
FIDC: A framework for improving data credibility in mobile crowdsensing
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DOI：
10.1016/j.comnet.2017.04.015
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发表时间：
2017-06
期刊：
影响因子：
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通讯作者：
Tongqing Zhou;Zhiping Cai;Kui Wu;Yueyue Chen;Ming Xu
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文献类型：
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作者：
Tongqing Zhou;Zhiping Cai;Kui Wu;Yueyue Chen;Ming Xu
移动的人群感知已经成为从普及的移动的设备协作地收集感测数据的流行范例。由于用于移动的人群感知的设备由具有不可预测的可靠性、变化的能力和未知意图的个人拥有和控制，因此利用移动的人群感知收集的数据可能是不可信的。特别地，移动的众测系统受到共谋攻击，其中一组恶意参与者协作发送虚假信息以误导系统。抵御共谋攻击需要更强的防御机制，而现有的作品中没有。在本文中，我们提出了一个新的框架，提高数据的可信度，命名为FIDC，在移动的人群感知，以减轻共谋攻击所带来的威胁。FIDC无缝地集成了两种类型的相关性：传感数据的空间相关性和传感数据与起源知识之间的相关性。虽然这两种相关性在以前的人群感知系统中已经被单独采用，但在FIDC中利用联合努力对微调性能提出了特殊的技术挑战。通过对用于温度监测的公共移动的人群感知数据进行广泛评估，FIDC在错误检测准确性和整体数据可信度方面优于现有方法。
Mobile crowdsensing has become a popular paradigm to collaboratively collect sensing data from pervasive mobile devices. Since the devices used for mobile crowdsensing are owned and controlled by individuals with unpredictable reliability, varied capabilities, and unknown intentions, data collected with mobile crowdsensing may be untrustworthy. In particular, a mobile crowdsensing system is subject to collusion attacks where a group of malicious participants collaboratively send fake information to mislead the system. Defending against collusion attacks requires stronger defense mechanisms not available in existing works. In this paper, we propose a new framework for improving data credibility, named FIDC, in mobile crowdsensing to alleviate the threats posed by collusion attacks. FIDC seamlessly integrates two types of correlations: the spatial correlation of sensing data and the correlation between sensing data and provenance knowledge. While both correlations have been adopted separately in previous crowdsensing systems, the exploitation of an joint effort in FIDC poses a special technical challenge to fine-tune the performance. Evaluated extensively with a public mobile crowdsensing data for temperature monitoring, FIDC outperforms existing methods with respect to false detection accuracy and overall data credibility.