A logical verification method for security protocols based on linear logic and BAN logic

Koji Hasebe, Mitsuhiro Okada

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Citations (Scopus)

Abstract

A process following a security protocol is represented by a formal proof (of a fragment of linear logic based on the multiset rewriting model), modifying the idea by Cervesato-Durgin-Lincoln-Mitchell-Scedrov [4], while the (modified) BAN logic (which was first introduced by Burrows-Abadi-Needham [2]) is used as an evaluation semantics on security-properties for processes. By this method, we can get rid of the so called "idealization" step in the verification procedure of the BAN framework. In particular, we classify BAN-style belief-inferences into two categories; the inferences which only require some syntactic structure of a process observed by a participant on one hand, and the inferences which require a participant's knowledge on the structure of a protocol and a certain honesty assumption. We call the latter the honesty inferences. We shall show how such honesty inferences are used in the evaluation semantics for the security verification. We also point out that the evaluation inferences on freshness of nonces/keys/messages are classified as in the first category but that some of such inferences lack the information how to evaluate due to the lack of a certain concrete time-constraint setting. We introduce a natural time-constraint setting in our process/protocol descriptions and enrich the expressive power of the freshness evaluation.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsMitsuhiro Okada, Benjamin C. Pierce, Andre Scedrov, Hideyuki Tokuda, Akinori Yonezawa
PublisherSpringer Verlag
Pages417-440
Number of pages24
ISBN (Print)3540007083
DOIs
Publication statusPublished - 2003

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2609
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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