講座名稱：Achieve Edge-based Privacy-Preserving Dynamic Aggregation Query in Smart Transportation Systems

講座人：陸榮幸 教授

講座時(shí)間：12月22日9:30

地點(diǎn)：騰訊會(huì)議直播（ID：241 361 832）

講座人介紹：

陸榮幸，萬事達(dá)卡物聯(lián)網(wǎng)研究主席，加拿大新不倫瑞克大學(xué)計(jì)算機(jī)科學(xué)學(xué)院(FCS)教授。在此之前，他于2013年4月至2016年8月在新加坡南洋理工大學(xué)電氣與電子工程學(xué)院擔(dān)任助理教授。陸榮幸，2012年5月至2013年4月在加拿大滑鐵盧大學(xué)做博士后。2012年獲加拿大滑鐵盧大學(xué)電氣與計(jì)算機(jī)工程系博士學(xué)位，獲最負(fù)盛名的“總督金獎(jiǎng)”;并于2013年獲得第八屆IEEE通信協(xié)會(huì)(ComSoc)亞太地區(qū)(AP)杰出青年研究員獎(jiǎng)。陸博士是IEEE Fellow。他的研究興趣包括應(yīng)用密碼學(xué)、隱私增強(qiáng)技術(shù)和物聯(lián)網(wǎng)大數(shù)據(jù)安全與隱私。他在自己的專業(yè)領(lǐng)域發(fā)表了大量論文(截至2023年8月，H指數(shù)為85,Google Scholar引用次數(shù)31,200+)，并獲得了10項(xiàng)知名期刊和會(huì)議的最佳(學(xué)生)論文獎(jiǎng)。目前，陸榮幸博士擔(dān)任IEEE ComSoc CIS-TC(通信和信息安全技術(shù)委員會(huì))主席，IEEE TEMS區(qū)塊鏈和分布式賬本技術(shù)委員會(huì)(BDLT-TC)創(chuàng)始聯(lián)合主席。陸榮幸博士是2016-2017年度加拿大新不倫瑞克大學(xué)FCS優(yōu)秀教學(xué)獎(jiǎng)獲得者。

講座內(nèi)容：

As the proliferation of smart vehicles has fostered an abundance of real-time data, various data analysis tools, such as aggregation queries, are expected to be deployed to extract insights and make transportation systems much smarter. Meanwhile, to cope with the growing service scale, edge servers are employed to collect data and deliver the service, which however provokes privacy concerns related to the reported data and user queries. Previously reported solutions on privacy-preserving aggregation queries focus on static datasets or require data persistence, leading to storage pressure and slower query responses. In this talk, we present a privacy-preserving dynamic aggregation query scheme using edge servers, specifically addressing the problem of online aggregation queries. By combining homomorphic encryption and predicate encryption, our scheme enables the edge server to aggregate real-time data and respond to queries, safeguarding sensitive information from vehicles and data users. The integration of advanced cryptographic primitives ensures data and query privacy and integrity. Comprehensive theoretical analyses demonstrate our scheme’s effectiveness in privacy preservation, boasting a manageable computational and communication overhead. The scheme, thus, presents a practical solution for privacy-preserving dynamic aggregation queries, fulfilling an unmet need in real-time transportation systems.

主辦單位：資源保障部