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Information Sciences

An efficient approach for secure multi-party computation without authenticated channel

Duy-Hien Vu, The Dung Luong, Tu-Bao Ho

Published Jul 15, 2019• 32 citations
Publisher
DOI
10.1016/j.ins.2019.07.031

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For a secure communication through the public network, cryptographic encryption must be applied. The key establishment issue is the most important part in cryptographic encryption. Only the legitimate principals who have the key can encrypt messages and decrypt cryptograms. A secure multi-party communication held through the public network can only take place after a multi-party key establishment protocol has been executed. The multi-party key establishment protocol is designed so that the principals can receive a common key and use it to securely exchange the messages.\nIn this thesis, the secure multi-party key establishment protocols are discussed. W e start from investigating properties of two-party key establishment protocols such as motivation of using session key, adversaries in the protocols, attacks of the protocol and security analysis of the protocol. Then we give the requirements of a multi-party key establishment protocol and summarize about what should be considered in designing a multi-party key establishment protocol. After that we review some of the previous proposed multi-party key establishment protocol. The existing multi-party key establishment protocols are either impractical ( not efficient enough) or missing some important security goals such as authentication of principals. Three new protocols are proposed in this thesis. The first protocol addresses how to hold a conference for members of two hierarchical groups in an efficient way. The message broadcasting is used to reduce the cost of secure message transport.\nThe second and the third protocols manage the authentication problem by using a secret sharing scheme. We replace the principal authentication with the group authentication so that the computational overhead and communication overhead will be reduced especially in reuse of the protocol for new communication. Again, message broadcasting is used for replacing the expansive secure communication channel.\nPart of this thesis appeared in ACSC'99(Australian Computer Science Conference) and ACISP'99(Australian Conference of Information Security and Privacy).
In secure multi-party computation nnn parties jointly evaluate an nnn-variate function fff in the presence of an adversary which can corrupt up till ttt parties. Almost all the works that have appeared in the literature so far assume the presence of authenticated channels between the parties. This assumption is far from realistic. Two directions of research have been borne from relaxing this (strong) assumption: (a) The adversary is virtually omnipotent and can control all the communication channels in the network, (b) Only a partially connected topology of authenticated channels is guaranteed and adversary controls a subset of the communication channels in the network. This work introduces a new setting for (unconditional) secure multiparty computation problem which is an interesting intermediate model with respect to the above well studied models from the literature (by sharing a salient feature from both the above models). We consider the problem of (unconditional) secure multi-party computation when 'some' of the communication channels connecting the parties can be corrupted passively as well as actively. For this setting, some honest parties may be connected to several other honest parties via corrupted channels and may not be able to authentically communicate with them. Such parties may not be assured the canonical guarantees of correctness or privacy. We present refined definitions of security for this new intermediate model of unconditional multiparty computation. We show how to adapt protocols for (Unconditional) secure multiparty computation to realize the definitions and also argue the tightness of the results achieved by us.
In the problem of Secure Multi-party Computation, the objective is to design a protocol that allows a group of parties to securely compute functions of their collective private data, while ensuring that no party reveals any more information about its private data other than what must be inherently revealed by the computation results (privacy) and that no parties can disrupt or influence the computation results beyond the effects of changing their input data (correctness and consistency). Information theoretic approaches toward this problem, that provide provable (unconditional) security guarantees even against adversarial parties that have unbounded computational power, have established that general computation is possible in a variety of scenarios. However, these general solutions are not always efficient or finely tuned to the requirements of specific problems and applications. The focus of this thesis is on the development of information theoretic approaches for multi-party computation applications with the common theme of secure and efficient computation and inference over a distributed data network. Specific applications include: 1) private information retrieval, where the objective is to privately retrieve data without revealing what was selected; 2) secure statistical analysis, the problem of extracting statistics without revealing anything else about the underlying data; 3) secure sampling, which is the secure generation of new data with a given distribution; and 4) secure authentication, where the identity of a party needs to authenticated via inference on his/her credentials and stored registration data. The contributions of this thesis toward addressing these applications include the following: The development of an Oblivious Transfer (OT) protocol, applicable to private information retrieval, that trades off a small amount of privacy while being several times more efficient than other OT protocols. The efficiency of general se- cure two-party computation via OT realized from noisy channels is also analyzed. A technique for approximate secure multi-party computation applicable to secure statistical analysis of large scale distributed databases is developed. By exploiting a dimensionality reduction and the structure of a broad class of functions based on the computed statistics, the feasibility of simultaneously achieving both arbitrarily high accuracy and arbitrarily high communication efficiency is demonstrated. The region of distributions that can be securely sampled in the two-party scenario is characterized. It is further established that for those distributions, it can be accomplished with a protocol that only sends one message. Inner and outer bounds on the region of distributions that can be securely sampled in the general multi-party scenario are also developed. A new three-party protocol, applicable to the problem of secure biometric authentication, that securely computes the Hamming distance even when one of the parties arbitrarily deviates from the protocol is proposed and analyzed. A two-factor secure biometric authentication system that is robust against the compromise of registered biometric data, allowing for revocability and resistance against cross-enrollment attacks is also proposed.