南京大学计算机软件新技术国家重点实验室
摘 要：
Secure computation has the potential to completely reshape the cyber-security landscape, but this will happen only if we can make it practical. Despite significant improvements recently, secure computation is still orders of magnitude slower than computation in the clear. Even with the latest advancement, running the killer apps, which are often data intensive, in secure computation is still a mission impossible. On the hand, in response to the Big Data challenge, the data sketching approach has quickly gained popularity in data sciences. Roughly, one can compress a large amount of data into a small data structure (a.k.a. sketch) whose size is significantly sub-linear to the original data size, and later approximate certain characteristics of the original data. In this talk, I will present our experience in combining secure computation and data sketching, demonstrate the benefit in terms of scalability, and report on a delightful surprise coming out of the combination.
报告人简介:
Changyu
Dong is a senior lecturer in security at Newcastle University, UK. He obtained
his PhD from the Department of Computing at Imperial College London in 2009.
His research interests fall under the broad heading of cyber security,
including applied cryptography, cloud security, data privacy and blockchain. He
has published more than 30 research papers in major journals and international
conferences, including the most prestigious venues in security such as ACM CCS,
ESORICS and Journal of Computer Security (JCS), IEEE Transactions on Dependable
and Secure Computing (TDSC) and IEEE Transactions on Information Forensics and
Security (TIFS). Three of his papers were selected as best paper at
international conferences. He has served on and chaired program committees for
many conferences and workshops, and is a regular invited reviewer for top
international journals. Currently, he leads an EPSRC project “Practical
Data-intensive Secure Computation: a Data Structural Approach”.
时间：7月7日(星期日) 14:00
地点：计算机科学技术楼229室
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