报告题目：ZebraLancer: Private and Anonymous Decentralized Crowdsourcing Atop Open Blockchain

报告人：Qiang Tang教授

报告时间：15:00-16:00, 2018年12月20日

报告地点：长安校区 文津楼3628

报告摘要：We design and implement the first private and anonymous decentralized crowdsourcing system ZebraLancer. It realizes the fair exchange (i.e. security against malicious workers and dishonest requesters) without any third-party arbiter. More importantly, it overcomes two fundamental challenges of decentralizing crowdsourcing, i.e. data leakage and identity breach. We also implemented our protocol for a common image annotation task and deploy it in a test net of Ethereum. The experiment results show the applicability of our protocol and highlight subtleties of tailoring the protocol to be compatible with the existing real-world open blockchain.

报告人简介：Dr. Qiang Tang is currently an assistant professor at New Jersey Institute of Technology (NJIT), and also a co-director of JD-NJIT-ISCAS joint blockchain lab. Before joining NJIT, he was a postdoctoral research associate at the Initiative of Cryptocurrency and Contracts (IC3) at Cornell University, under the supervision of Prof. Elaine Shi. He obtained his Ph.D from the University of Connecticut, under the supervision of Prof. Aggelos Kiayias and Prof. Alexander Russell. Dr. Tang research interests spans various topics of cryptography and blockchain technology. His research results appeared mostly in top crypto/security/distributed system venues including CRYPTO, EUROCRYPT, ASIACRYPT,CCS and more. His research was supported by NSF, DoE, JD.com, and several blockchain foundations including Protocol Labs which invented IPFS. Dr. Tang was the founding co-chair of IEEE SMC Technical Committee on blockchain and has been invited to serve as program committee on various top cryptography and blockchain venues, and as expert reviewer for various prestigious grants for funding agencies from Canada, Hong Kong and China. Dr. Tang has been invited to testify as academia representative at NJ State Congress for blockchain policies, and also a private forum for Federal policy regarding Encryption, Surveillance and Transparency.

报告题目：HoWatcher: Semantics-Aware Anomaly Detection for Appified Smart Homes

报告人：杜小江 教授

报告时间：16:00-17:30, 2018年12月20日

报告地点：长安校区 文津楼3628

报告摘要：With the large-scale deployment of Internet of Things, smart home has become a reality to enable pervasive interactions among home electronic devices. Home automation IoT platforms further enhance the benefit by adding a high degree of interoperability among heterogeneous devices and introducing automation programs (also called smart apps). However, anomalies occur in smart homes. Without timely detection, they may lead to severe consequences. Past researches mainly apply data mining to anomaly detection, but they suffer from a high false alarm rate in an appified home. Our observation is that data mining based approaches miss a large chunk of information about smart apps. We thus propose semantics-aware data mining for anomaly detection to greatly mitigate the limitation and design a system, named Home Automation Watcher (HAWATCHER). We evaluate our design with an implementation on Samsung SmartThings platform and test it against three categories of anomalies and 16 cases. The results suggest that HoWatcher achieves a high accuracy on detecting anomalies with the false alarm rate dramatically reduced.

报告人简介：杜小江现任美国天普大学（Temple University）计算机系的教授。他从清华大学获得学士，硕士学位，从美国马里兰大学获得博士学位。杜博士的研究方向主要包括无线系统安全、物联网安全、计算机网络安全、和无线网络与通信等。他在无线系统安全、计算机通信和在异构传感器网络等方面做出了开创性的研究。杜博士在Springer出版专著一本。目前已在国际顶级期刊和会议上发表论文200多篇，其中SCI收录70余篇和EI收录200余篇，其中三篇文章获得了国际会议的最佳论文奖。是三个国际期刊的编委，多次担任过IEEE/ACM国际会议的主席，并多次在国际学术会议作特邀报告。多次参加美国科学基金会的科研项目书评审会。杜博士已经获得超过5百万美元的科研经费。他已经主持/承担了16项美国政府的科研项目，其中7项是由美国国家科学基金会资助，3项是由美国陆军研究局资助, 2项是由美国空军研究局资助. 杜博士目前是IEEE高级会员（Senior Member），以及ACM终身会员(Life Member)。