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anonymous data collection scheme for cloud-aided mobile edge networks

Digital Communications and Networks 2020年第2期6卷 223-228页

作者： Anxi Wang Jian Shen Chen Wang Huijie Yang Dengzhi Liu School of Computer and Software Nanjing University of Information Science&TechnologyNanjing210044China Guangxi Key Laboratory of Cryptography and Information Security Guilin541004China National Supercomputing Center in Wuxi 214000China

With the rapid spread of smart sensors,data collection is becoming more and more important in Mobile Edge Networks(MENs).The collected data can be used in many applications based on the analysis results of these data by cloud ***,data collection schemes have been widely studied by ***,most of the researches take the amount of collected data into consideration without thinking about the problem of privacy leakage of the collected *** this paper,we propose an energy-efficient and anonymous data collection scheme for MENs to keep a balance between energy consumption and data privacy,in which the privacy information of senors is hidden during data *** addition,the residual energy of nodes is taken into consideration in this scheme in particular when it comes to the selection of the relay *** security analysis shows that no privacy information of the source node and relay node is leaked to ***,the simulation results demonstrate that the proposed scheme is better than other schemes in aspects of lifetime and energy *** the end of the simulation part,we present a qualitative analysis for the proposed scheme and some conventional *** is noteworthy that the proposed scheme outperforms the existing protocols in terms of the above indicators.

关键词： Cloud-aided mobile edge networks anonymous data collection Communication model Path selection

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Towards a respondent-preferred k_i-anonymity model

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Frontiers of Information Technology & Electronic Engineering 2015年第9期16卷 720-731页

作者： Kok-Seng WONG Myung Ho KIM School of Computer Science and Engineering Soongsil University School of Software Soongsil University

Recently, privacy concerns about data collection have received an increasing amount of attention. In data collection process, a data collector （an agency） assumed that all respondents would be comfortable with submitting their data if the published data was anonymous. We believe that this assumption is not realistic because the increase in privacy concerns causes some re- spondents to refuse participation or to submit inaccurate data to such agencies. If respondents submit inaccurate data, then the usefulness of the results from analysis of the collected data cannot be guaranteed. Furthermore, we note that the level of anonymity （i.e., k-anonymity） guaranteed by an agency cannot be verified by respondents since they generally do not have access to all of the data that is released. Therefore, we introduce the notion of ki-anonymity, where ki is the level of anonymity preferred by each respondent i. Instead of placing full trust in an agency, our solution increases respondent confidence by allowing each to decide the preferred level of protection. As such, our protocol ensures that respondents achieve their preferred kranonymity during data collection and guarantees that the collected records are genuine and useful for data analysis.

关键词： anonymous data collection Respondent-preferred privacy protection k-anonymity

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