标题: 基于基台广播杂讯之密码协定
Cryptographic Protocols Based on Unpredictable Noise in Beacon Broadcasting
作者: 官振杰
曾文贵
Albert, Guan
Tzeng, Wen-Guey
资讯科学与工程研究所
关键字: 金钥建立;模糊传送;位元承诺;轻计算协定;无线网路;随机杂讯;二元对称通道;Key agreement;oblivious transfer;bit commitment;computationally light-weight protocol;wireless sensor network;random noise;binary symmetric channel
公开日期: 2017
摘要: 资讯安全是数位系统的重要问题, 安全的密码协定是资讯安全的工具.
随机在密码学里扮演很重要的角色, 随机有许多方式可以取得. 通道杂讯的不确定性是一个很好的随机来源, 可以应用在许多密码协定的设计上.
在这篇博士论文里将会探讨通道杂讯的不确定性在密码理论基础工具的应用, 包含下列各项密码协定的设计:
(1) 安全金钥的建立,
(2) 模糊传送,
(3) 位元承诺.
在这篇论文里所有的密码协定的安全性是植基于通道杂讯的不确定性, 而不是仰赖难解的问题, 像是大整数质的因数分解或解离散对数问题. 这些问题在具有足够计算资源时就可以被破解. 例如: 量子电脑可以分解大整数的因数以及破解离散对数问题. 我们证明我们设计的密码协定是资讯理论安全的. 而且所有的密码协定只需进行杂凑和互斥运算. 因此协定所需的计算量很轻, 所以这些密码协定适用于计算能力受限的装置, 例如: 感知网路中的感测器.
Security is an important issue in information systems.
Secure cryptographic protocols are used to ensure the security of information systems. In the design of the security of cryptographic protocols randomness plays an important role. There are many sources to obtain randomness. Unpredictable noise in communication channel is a good source of randomness which can be used in many cryptographic protocols. In this thesis, unpredictable noise in communication channel is applied in the design of fundamental tools in cryptography, including:
(1) {\em secret key establishment},
(2) {\em oblivious transfer}, and
(3) {\em bit commitment}.
The security of all the cryptographic protocols presented in this thesis are based on unpredictable noise in the communication channel. They are not depending on computationally hard problems, such as factoring large integers and solving discrete logarithm problem. These computationally hard problems can be solved if sufficient
computing resource is available. For example, quantum computers can factor large integers and solving discrete logarithm problems efficiently. We are able to show that the protocols are information-theoretically secure. All the protocols only perform hash and exclusive-or operations.
Therefore, the protocols are computationally lightweight.
Thus, they are more suitable for devices which have only limited computing resources, such as sensors in Internet-of-Things.
URI: http://etd.lib.nctu.edu.tw/cdrfb3/record/nctu/#GT079955801
http://hdl.handle.net/11536/141481
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