基于強(qiáng)化學(xué)習(xí)的物聯(lián)網(wǎng)傳輸智能隱私保護(hù)技術(shù)
時(shí)間：2019年5月30日（周四）下午5:00—6:00
地點(diǎn)：計(jì)算所254
報(bào)告人：肖亮教授, 廈門(mén)大學(xué)
摘要：
Mobile edge computing helps healthcare Internet of Things (IoT) devices with energy harvesting provide satisfactory quality of experiences for computation intensive applications. We propose a reinforcement learning (RL) based privacy aware offloading scheme to help healthcare IoT devices protect both the user location privacy and the usage pattern privacy. More specifically, this scheme enables a healthcare IoT device to choose the offloading rate that improves the computation performance, protects user privacy and saves the energy of the IoT device without being aware of the privacy leakage, IoT energy consumption and edge computation model. This scheme uses transfer learning to reduce the random exploration at the initial learning process and applies a Dyna architecture that provides simulated offloading experiences to accelerate the learning process. A post-decision state learning method uses the known channel state model to further improve the offloading performance. We provide the performance bound of this scheme regarding the privacy level, the energy consumption and the computation latency for three typical healthcare IoT offloading scenarios. Simulation results show that this scheme can reduce the computation latency, save the energy consumption, and improve the privacy level of the healthcare IoT device compared with the benchmark scheme.
報(bào)告人簡(jiǎn)介：
肖亮，廈門(mén)大學(xué)信息科學(xué)與技術(shù)學(xué)院教授，博士生導(dǎo)師，IEEE高級(jí)會(huì)員，IEEE ComSoc 大數(shù)據(jù)技術(shù)委員會(huì)委員，中國(guó)電子學(xué)會(huì)高級(jí)會(huì)員，中國(guó)計(jì)算機(jī)學(xué)會(huì)高級(jí)會(huì)員，網(wǎng)絡(luò)與數(shù)據(jù)通信專(zhuān)委會(huì)委員，中國(guó)通信學(xué)會(huì)青年工作委員會(huì)委員。從事網(wǎng)絡(luò)安全，大數(shù)據(jù)和機(jī)器學(xué)習(xí)等方向的研究。獲教育部留學(xué)回國(guó)人員科研啟動(dòng)基金，入選福建省高等學(xué)校新世紀(jì)優(yōu)秀人才支持計(jì)劃。主持和參與了多項(xiàng)國(guó)家自然科學(xué)基金和福建省自然科學(xué)基金研究項(xiàng)目，參與863項(xiàng)目。出版Springer學(xué)術(shù)專(zhuān)著和章節(jié)3部，獲得ICC等多個(gè)國(guó)際會(huì)議最佳論文。擔(dān)任IEEE Trans. Information Forensics & Security等多個(gè)國(guó)際SCI期刊編委。擔(dān)任IEEE Journal on Selected Topics in Signal Processing 等期刊客座編輯。擔(dān)任INFOCOM、GLOBECOM和ICC等國(guó)際學(xué)術(shù)會(huì)議技術(shù)議程委員，2019年國(guó)際通信旗艦會(huì)議ICC的網(wǎng)絡(luò)與信息安全分會(huì)主席。美國(guó)Rutgers（新澤西州立）大學(xué)電子與計(jì)算機(jī)工程系博士，清華大學(xué)電子系碩士，南京郵電學(xué)院通信工程系學(xué)士。作為訪問(wèn)學(xué)者，曾在普林斯頓大學(xué)，弗吉尼亞理工和馬里蘭大學(xué)進(jìn)行研究。