Secure two-party context free language recognition

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dc.contributor.author Singh, A.
dc.contributor.author Barman, S.
dc.contributor.author Shukla, K.K.
dc.date.accessioned 2021-09-10T06:09:17Z
dc.date.available 2021-09-10T06:09:17Z
dc.date.issued 2005
dc.identifier.uri http://localhost:8080/xmlui/handle/123456789/1661
dc.description.abstract The growth of the internet provides opportunities for cooperative computation, it also requires development of protocols that can accomplish this task among mutually untrusting parties. The aim is to develop methods which ensure both the correct evaluation of the function and privacy of individual inputs. Multiparty Computation protocols help to achieve the aim without using a trusted third party. In this paper we consider the problem of context-free language recognition in a two-party setting. Alice has the description of a context-free language L while Bob has a secret string whose membership in L is to be checked. Neither Alice nor Bob is ready to disclose his/her input to the other. Here we propose a protocol which accomplishes secure two party context-free language recognition. The novelty of this paper lies in the use of formal languages based approach for multiparty computations. en_US
dc.description.sponsorship Lecture Notes in Computer Science en_US
dc.language.iso en en_US
dc.publisher Springer Verlag en_US
dc.relation.ispartofseries Pages 117;Volume 3816 LNCS
dc.subject Context free languages; en_US
dc.subject Formal languages; en_US
dc.subject Network protocols; en_US
dc.subject Pattern recognition; en_US
dc.subject Security of data en_US
dc.subject Computation protocols; en_US
dc.subject Cooperative computation; en_US
dc.subject Language recognition; en_US
dc.subject Multiparty computations en_US
dc.subject Computer networks en_US
dc.title Secure two-party context free language recognition en_US
dc.type Article en_US


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