ACE Seminar: On Secure E-voting systems — End-2-end Verifiability, Privacy, Scalability, Accountability

Speaker: Dr. Bingsheng Zhang

Date/Time: 10-Mar-2016, 16:00 UTC

Venue:

Details

Abstract

In an end-to-end (E2E) verifiable election system, voters have the ability to verify that their vote was properly cast, recorded and tallied into the election result. Intuitively, the security property that an E2E verifiable election intends to capture is the ability of the voters to detect a malicious election authority that tries to misrepresent the election outcome. In this talk, we will introduce several recently developed techniques to achieve end-2-end verifiability, simulation-based privacy in the standard model. After that we will also discuss how to enhance the scalability and accountability of such an e-voting system. The content of this talk is covered by the following 4 papers/manuscripts.

Reference:
1. Aggelos Kiayias, Thomas Zacharias, Bingsheng Zhang: DEMOS-2: Scalable E2E Verifiable Elections without Random Oracles. ACM Conference on Computer and Communications Security 2015: 352-363
2. Aggelos Kiayias, Thomas Zacharias, Bingsheng Zhang: End-to-End Verifiable Elections in the Standard Model. EUROCRYPT (2) 2015: 468-498
3. Indistinguishable Proofs of Work or Knowledge
4. Ceremonies for End-to-End Verifiable Elections


Bio

Dr. Bingsheng Zhang is Lecturer in Security of Cyber-Physical Systems in the School of Computing and Communications at Lancaster University and member of Security Lancaster research centre since September 2015. Before that, he was a postdoctoral researcher at Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Greece. He received his B. Eng. in computer science from Zhejiang University of Technology in 2007, his M. Sc. in information security from University College London in 2008, and his Ph.D. degrees in computer science from University of Tartu in 2011. He then worked as a postdoctoral researcher at Department of Computer Science and Engineering, State University of New York at Buffalo, USA. Dr. Zhang specialises in e-voting and multi-party computation.

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