林璟锵
单位：中国科学技术大学网络空间安全学院
地址：安徽省合肥市黄山路中科大西区电三楼329
邮编：230027
电话：
个人主页： lin-jingqiang.github.io
实验室介绍：


个人简历 Personal resume


林璟锵，中国科技大学网络空间安全学院教授、博导长期从事网络空间安全研究，包括密码应用、系统安全、网络安全；曾任信息安全国家重点实验室副主任；作为项目负责人承担国家重点研发计划项目，以及国家自然科学基金等国家级课题。学术论文发表在IEEE S&P、ACM CCS、NDSS、AsiaCrypt等顶级会议和IEEE TDSC、IEEE TIFS等顶级期刊；技术成果广泛应用于我国各种电子签名、电子合同、电子证照、视频加解密等系统。技术研究方向同时达到：一流的学术水平、扎实的应用技术、广阔的推广前景。


研究方向 Research direction


1、密码应用
2、网络安全
3、系统安全



招生信息 Enrollment information


有志于网络空间安全事业的年轻人！培养全面信息安全能力的研究生！


论文专著 The monograph


1)Blockchain-based Certificate Transparency and Revocation Transparency - IEEE Trans. Dependable and Secure Computing - 录用 -
2)Mimosa: Protecting Private Keys against Memory Disclosure Attacks using Hardware Transactional Memory - IEEE Trans. Dependable and Secure Computing - 录用 -
3)A Privacy-Preserving Optimization of Neighborhood-based Recommendation for Medical-Aided Diagnosis and Treatment - IEEE Internet of Things Journal (IoT-J) - 录用 -
4)From Library Portability to Para-rehosting: Natively Executing Open-source Microcontroller OSs on Commodity Hardware - 28th ISOC NDSS - 2021 -
5)Locally-centralized Certificate Validation and Its Application in Desktop Virtualization Systems - IEEE Trans. Information Forensics and Security - 2021 -
6)Certificate Transparency for ECQV Implicit Certificates - 55th IEEE ICC - 2021 -
7)CANSentry: Securing CAN-Based Cyber-Physical Systems against Denial and Spoofing Attacks - 25th ESORICS - 2020 -
8)On the Analysis and Improvement of Min-entropy Estimation on Time-varying Data - IEEE Trans. Information Forensics and Security - 2020 -
9)DPF-ECC: Accelerating Elliptic Curve Cryptography with Floating-point Computing Power of GPUs - 34th IEEE IPDPS - 2020 -
10)Traceable Revocable Anonymous Registration Scheme with Zero-knowledge Proof on Blockchain - 54th IEEE ICC - 2020 -
11)Certificate Transparency in the Wild: Exploring the Reliability of Monitors - 26th ACM CCS - 2019 -
12)TF-BIV: Transparent and Fine-grained Binary Integrity Verification in the Cloud - 35th ACSAC - 2019 -
13)Entropy Estimation for ADC Sampling based True Random Number Generators - IEEE Trans. Information Forensics and Security - 2019 -