李超

博士、讲师

基本信息

办公电话: 电子邮件: li.chao@bjtu.edu.cn
通讯地址: 邮编:

教育背景

2014.8 - 2019.4,美国匹兹堡大学,博士(导师:Prof. Balaji Palanisamy)

2012.9 - 2013.10,英国帝国理工学院,硕士

2010.9 - 2012.6,英国爱丁堡大学,学士(3+2 双学位)

2007.9 - 2012.6,大连理工大学,学士(3+2 双学位)

工作经历

2019.5 - 至今,北京交通大学,计算机与信息技术学院,信息安全系,讲师

研究方向

近期主要研究方向为区块链技术,包括链下扩容技术、中心度量化评估方法、去中心化应用设计模式、基于区块链的可信服务构建等。其他研究方向包括信息安全技术 (functional encryption, timed-release encryption) ,隐私保护技术 (差分隐私)。

科研项目

  • 基本科研业务费重点项目: 城市智能系统可信任机理与关键技术, 2020-2023
  • 红果园国家级科技委、后勤保障项目: 区块链在物联网应用中的关键技术研究, 2019-2020
  • 基本科研业务费人才基金: 去中心化敏感信息定时传递机制研究, 2019-2021

教学工作

《区块链技术》,研究生课程,2020秋(与段莉老师共同授课)

《金融数据安全》,本科生课程,2020秋

论文/期刊

区块链技术方向:

  • [ICWS'20](CCF B类) Chao Li and Balaji Palanisamy. "EventWarden: A Decentralized Event-driven Proxy Service for Outsourcing Arbitrary Transactions in Ethereum-like Blockchains." Proc. of 27rd IEEE International Conference on Web Services, Beijing, China. [PDF]
  • [ICBC'20Chao Li and Balaji Palanisamy. “Comparison of Decentralization in DPoS and PoW Blockchains.” Proc. of 2020 International Conference on Blockchain, Honolulu, Hawaii, USA. [PDF]
  • [WebSci'19Chao Li and Balaji Palanisamy. “Incentivized Blockchain-based Social Media Platforms: A Case Study of Steemit.” Proc. of 11th ACM International Web Science Conference, Boston, MA, USA. [PDF]
  • [ICDEW'19Chao Li, Balaji Palanisamy and Runhua Xu. “Scalable and Privacy-preserving Design of On/Off-chain Smart Contracts.” In 2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW). [PDF]
  • [SRDS'18](CCF B类) Chao Li and Balaji Palanisamy. “Decentralized release of self-emerging data using smart contracts.” Proc. of 37th IEEE International Symposium on Reliable Distributed Systems, Salvador, Brazil. [PDF]
  • [HiPC'18](CCF C类) Chao Li and Balaji Palanisamy. “Decentralized Privacy-preserving Timed Execution in Blockchain-based Smart Contract Platforms.” Proc. of 25th IEEE International Conference on High Performance Computing, Data, and Analytics. [PDF]

信息安全技术方向

  • [ICDCS'19](CCF B类) Runhua Xu, James BD Joshi, and Chao Li. “CryptoNN: Training Neural Networks over Encrypted Data.” Proc. of 39th IEEE International Conference on Distributed Computing Systems, Dallas, Texas, USA. [PDF]
  • [CIC'19] Balaji Palanisamy and Chao Li. “Self-emerging Data Infrastructures.” Proc. of 5th IEEE International Conference on Collaboration and Internet Computing, Los Angeles, California, USA. [PDF]
  • [ICDCS'17](CCF B类Chao Li and Balaji Palanisamy, “Timed-release of Self-emerging Data using Distributed Hash Tables.” Proc. of 37th IEEE International Conference on Distributed Computing Systems, Atlanta, USA. [PDF]
  • [Cloud'17](CCF C类) Chao Li and Balaji Palanisamy, “Emerge: Self-emerging Data Release using Cloud Data Storage.” Proc. of 10th IEEE International Conference on Cloud Computing, Honolulu, USA. [PDF]

隐私保护技术方向

  • [ComCom'19](CCF C类Chao Li and Balaji Palanisamy. “Reversible spatio-temporal perturbation for protecting location privacy.” Elsevier Computer Communications 135, 16-27, 2019. [PDF]
  • [IoTJ'18](1区) Chao Li and Balaji Palanisamy. “Privacy in Internet of Things: from Principles to Technologies.” IEEE Internet of Things Journal 6 (1), 488-505, 2018. [PDF]
  • [C&S'18](CCF B类) Lei Jin, Chao Li, Balaji Palanisamy and James Joshi. “k-Trustee: Location injection attack-resilient anonymization for location privacy.” Elsevier Computers & Security 78, 212-230, 2018. [PDF]
  • [BigData Congress'18Chao Li, Balaji Palanisamy and Prashant Krishnamurthy. “Reversible Data Perturbation Techniques for Multi-level Privacy-preserving Data Publication.” Proc. of 7th International Congress on Big Data, Seattle, USA. [PDF][Received Best Paper Award]
  • [Big Data'17](CCF C类) Balaji Palanisamy, Chao Li and Prashant Krishnamurthy, “Group Privacy-aware Disclosure of Association Graph Data.” Proc. of 5th IEEE International Conference on Big Data, Boston, USA. [PDF]
  • [BigData Congress'17Chao Li, Balaji Palanisamy and James Joshi, “Differentially Private Trajectory Analysis for Points-of-Interest Recommendation.” Proc. of 6th IEEE International Congress on Big Data, Honolulu, USA. [PDF][Received Best Paper Award]
  • [ICDCS'17, DemoChao Li, Balaji Palanisamy, Aravind A. Kalaivanan and Sriram Raghunathan, “ReverseCloak: A Reversible Multi-level Location Privacy Protection System.” Proc. of 37th IEEE International Conference on Distributed Computing Systems, Atlanta, USA. [PDF]
  • [ICDCS'17, Poster] Balaji Palanisamy, Chao Li and Prashant Krishnamurthy, “Group Differential Privacy-preserving Disclosure of Multi-level Association Graphs.” Proc. of 37th IEEE International Conference on Distributed Computing Systems, Atlanta, USA. [PDF]
  • [ICWS'16](CCF B类) Chao Li, Balaji Palanisamy and James Joshi, “SocialMix: Supporting Privacy-aware Trusted Social Networking Services.” Proc. of 23rd IEEE International Conference on Web Services, San Francisco, USA. [PDF]
  • [NSS'15Chao Li and Balaji Palanisamy, “De-anonymizable Location Cloaking for Privacy-controlled Mobile Systems.” Proc. of 9th International Conference on Network and System Security, New York, USA. [PDF]
  • [CIKM'15](CCF B类) Chao Li and Balaji Palanisamy, “ReverseCloak: Protecting Multi-level Location Privacy over Road Networks.” Proc. of 24th ACM International Conference on Information and Knowledge Management, Melbourne, Australia. [PDF]

学生指导工作

本科毕设指导:欢迎对区块链技术感兴趣的同学申报我的21年毕设题目。

  • 区块链中用户信息跨应用可信传递机制的设计与实现,2020
  • 基于区块链的数据汇聚系统的设计与实现,2020