Secure Distributed Hypothesis Testing for Biometrics

2023 Fiscal Year Final Research Report

• Project/Area Number: 20H02144
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Single-year Grants
• Section: 一般
• Review Section: Basic Section 21020:Communication and network engineering-related
• Research Institution: Tokyo University of Agriculture and Technology
• Principal Investigator: Watanabe Shun 東京農工大学, 工学(系)研究科(研究院), 准教授 (70546910)
• Project Period (FY): 2020-04-01 – 2024-03-31
• Keywords: 情報理論 / 暗号理論 / 計算量理論

Outline of Final Research Achievements

We have conducted various research related to the theory of security and distributed hypothesis testing. We can summarize the research outcomes as follows: (1) In the problem of distributed hypothesis testing, we have proved that the previously known best testing scheme is suboptimal; (2) In the problem of identification over noisy channel, we have proved the capacity without the assumption of strong converse property, which has been an open problem for a while; (3) We have proved that the family of reversible Markov kernel constitute an exponential family, and also demonstrated certain properties induced from that fact; (4) In the analysis of crypto systems, we often evaluate the security level of certain systems using the concept of bit-security. By using tools from information theory, we have introduced a novel definition of bit-security that has an operational meaning; (5) We have written a textbook that systematically summarizes the information-theoretic cryptography.

Free Research Field

情報理論、暗号理論

Academic Significance and Societal Importance of the Research Achievements

IoT技術の発展に伴い，システムへの不正アクセスを防ぐための認証技術はますます重要になってきている．そのようなシステムの安全性を保証するためにも、なぜ安全性が保証されるのか、どうすれば効率を高めることができるのか、といったことの原理をしっかりと理解しなければならない。本研究で得られた成果はIoT技術の理論基盤を築く際の指針となり得るものであると考える。