نتایج جستجو برای: avispa
تعداد نتایج: 166 فیلتر نتایج به سال:
The authors propose a Secure and Optimized Mobile based Merchant Payment (SOMMP) Protocol using Signcryption scheme with Forward Secrecy (SFS) based on elliptic curve which consumes less computational and communication cost. In SOMMP client sends message in the form of TransCertC (Transaction Certificate) which is a X.509 SLC (X.509 Short Lived Certificate) thereby reducing the client interacti...
The Internet of Things (IoT), is a new concept that its emergence has caused ubiquity of sensors in the human life. All data are collected, processed, and transmitted by these sensors. As the number of sensors increases, the first challenge in establishing a secure connection is authentication between sensors. Anonymity, lightweight, and trust between entities are other main issues that shoul...
The FORCES project aims at providing robust and declarative formalisms for analyzing systems in the emerging areas of Security Protocols, Biological Systems and Multimedia Semantic Interaction. This short paper describes FORCES’s motivations, results and future research directions. Introduction FORCES (FORmalisms from Concurrency for Emergent Systems) is an ongoing project funded by the Equipes...
We study the algebra underlying symbolic protocol analysis for protocols using Diffie-Hellman operations. Diffie-Hellman operations act on a cyclic group of prime order, together with an exponentiation operator. The exponents form a finite field: this rich algebraic structure has resisted previous symbolic approaches. We define an algebra that validates precisely the equations that hold almost ...
Starting from algebraic properties that enable guessing lowentropy secrets, we formalize guessing rules for symbolic verification. The rules are suited for both off-line and on-line guessing and can distinguish between them. We add our guessing rules as state transitions to protocol models that are input to model checking tools. With our proof-of-concept implementation we have automatically det...
Starting from algebraic properties that enable guessing lowentropy secrets, we formalize guessing rules for symbolic verification. The rules are suited for both off-line and on-line guessing and can distinguish between them. We add our guessing rules as state transitions to protocol models that are input to model checking tools. With our proof-of-concept implementation we have automatically det...
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