Andrew M. Marshall

dblp:76/8965 · DBLP profile ↗
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12ranked-venue papers
0as first author
6since 2021 · last 2026
0000-0002-0522-8384ORCID · verified

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Theory of computation · 11 · 5 since 2021Software engineering, systems software and programming languages · 3 · 1 since 2021Artificial intelligence and machine learning · 2Human-computer interaction and ubiquitous computing · 1 · 1 since 2021
YearPublicationVenuePosition
2026 Knowledge Problems in Protocol Analysis: Extending the Notion of Subterm Convergent
abstract
We introduce a new form of restricted term rewrite system, the graph-embedded term rewrite system. These systems, and thus the name, are inspired by the graph minor relation and are more flexible extensions of the well-known homeomorphic-embedded property of term rewrite systems. As a motivating application area, we consider the symbolic analysis of security protocols, and more precisely the two knowledge problems defined by the deduction problem and the static equivalence problem. In this field restricted term rewrite systems, such as subterm convergent ones, have proven useful since the knowledge problems are decidable for such systems. Many of the same decision procedures still work for examples of systems which are "beyond subterm convergent". However, the applicability of the corresponding decision procedures to these examples must often be proven on an individual basis. This is due to the problem that they don't fit into an existing syntactic definition for which the procedures are known to work. Here we show that many of these systems belong to a particular subclass of graph-embedded convergent systems, called contracting convergent systems. On the one hand, we show that the knowledge problems are decidable for the subclass of contracting convergent systems. On the other hand, we show that the knowledge problems are undecidable for the class of graph-embedded systems. Going further, we compare and contrast these graph embedded systems with several notions and properties already known in the protocol analysis literature. Finally, we provide several combination results, both for the combination of multiple contracting convergent systems, and then for the combination of contracting convergent systems with particular permutative equational theories.
Carter Bunch, Saraid Dwyer Satterfield, Serdar Erbatur, Andrew M. Marshall, Christophe Ringeissen
Log. Methods Comput. Sci.4
2025 Knowledge Problems vs Unification and Matching: Dichotomy Results
Serdar Erbatur, Andrew M. Marshall, Paliath Narendran, Christophe Ringeissen
FSCD2
2024 Deciding Knowledge Problems Modulo Classes of Permutative Theories
Serdar Erbatur, Andrew M. Marshall, Paliath Narendran, Christophe Ringeissen
LOPSTR2
2023 Knowledge Problems in Security Protocols: Going Beyond Subterm Convergent Theories
abstract
We introduce a new form of restricted term rewrite system, the graph-embedded term rewrite system. These systems, and thus the name, are inspired by the graph minor relation and are more flexible extensions of the well-known homeomorphic-embedded property of term rewrite systems. As a motivating application area, we consider the symbolic analysis of security protocols, and more precisely the two knowledge problems defined by the deduction problem and the static equivalence problem. In this field restricted term rewrite systems, such as subterm convergent ones, have proven useful since the knowledge problems are decidable for such systems. However, many of the same decision procedures still work for examples of systems which are "beyond subterm convergent". However, the applicability of the corresponding decision procedures to these examples must often be proven on an individual basis. This is due to the problem that they don't fit into an existing syntactic definition for which the procedures are known to work. Here we show that many of these systems belong to a particular subclass of graph-embedded convergent systems, called contracting convergent systems. On the one hand, we show that the knowledge problems are decidable for the subclass of contracting convergent systems. On the other hand, we show that the knowledge problems are undecidable for the class of graph-embedded systems.
Saraid Dwyer Satterfield, Serdar Erbatur, Andrew M. Marshall, Christophe Ringeissen
FSCD3
2023 Teaching an Undergraduate 5G Technology and Security Course, and Its Outcomes
abstract
Mobile technologies are rapidly evolving to provide faster and better services, with the 5th Generation (5G) being actively rolled out. Any new technology brings along the responsibility of managing its security. Educating the future generation is of utmost importance to help them navigate the ever changing cyber landscape. Considering this issue we have developed a course on the 5G mobile technology and security for the undergraduate level. The goal is to help bridge the gap between undergraduate knowledge and the high technical, usually at the graduate level, seen in most 5G security courses. The course is first designed to provide students with the foundations of 5G technology critical to the security posture of any organization. Then, with the background set, the course covers the security aspects of these underlying components. This poster presents the course modules developed with respect to the NIST CAE Cyber Defense (CAE-CD) https://dl.dod.cyber.mil/wp-content/uploads/cae/pdf/unclass-cae-cd_ku.pdf Knowledge Units (KUs) for cybersecurity, and primary analysis based on student performance pertaining to our Student Learning Outcomes (SLOs). We have offered the course as individual study research topic to students and hope to extend the lessons to a full-fledged course. We offer a repository of subset of assignments we created.
Veena Ravishankar, Andrew M. Marshall
SIGCSE (2)2
2022 Combined Hierarchical Matching: the Regular Case
abstract
Matching algorithms are often central sub-routines in many areas of automated reasoning. They are used in areas such as functional programming, rule-based programming, automated theorem proving, and the symbolic analysis of security protocols. Matching is related to unification but provides a somewhat simplified problem. Thus, in some cases, we can obtain a matching algorithm even if the unification problem is undecidable. In this paper we consider a hierarchical approach to constructing matching algorithms. The hierarchical method has been successful for developing unification algorithms for theories defined over a constructor sub-theory. We show how the approach can be extended to matching problems which allows for the development, in a modular way, of hierarchical matching algorithms. Here we focus on regular theories, where both sides of each equational axiom have the same set of variables. We show that the combination of two hierarchical matching algorithms leads to a hierarchical matching algorithm for the union of regular theories sharing only a common constructor sub-theory.
Serdar Erbatur, Andrew M. Marshall, Christophe Ringeissen
FSCD2
2020 Terminating Non-disjoint Combined Unification
Serdar Erbatur, Andrew M. Marshall, Christophe Ringeissen
LOPSTR2
2020 Computing knowledge in equational extensions of subterm convergent theories
abstract
Abstract We study decision procedures for two knowledge problems critical to the verification of security protocols, namely the intruder deduction and the static equivalence problems. These problems can be related to particular forms of context matching and context unification. Both problems are defined with respect to an equational theory and are known to be decidable when the equational theory is given by a subterm convergent term rewrite system (TRS). In this work, we extend this to consider a subterm convergent TRS defined modulo an equational theory, like Commutativity. We present two pairs of solutions for these important problems. The first solves the deduction and static equivalence problems in rewrite systems modulo shallow theories such as Commutativity. The second provides a general procedure that solves the deduction and static equivalence problems in subterm convergent systems modulo syntactic permutative theories, provided a finite measure is ensured. Several examples of such theories are also given.
Serdar Erbatur, Andrew M. Marshall, Christophe Ringeissen
Math. Struct. Comput. Sci.2
2019 Rule-Based Unification in Combined Theories and the Finite Variant Property
Ajay Kumar Eeralla, Serdar Erbatur, Andrew M. Marshall, Christophe Ringeissen
LATA3
2017 Notions of Knowledge in Combinations of Theories Sharing Constructors
Serdar Erbatur, Andrew M. Marshall, Christophe Ringeissen
CADE2
2014 On Asymmetric Unification and the Combination Problem in Disjoint Theories
Serdar Erbatur, Deepak Kapur, Andrew M. Marshall, Catherine Meadows 0001, Paliath Narendran, Christophe Ringeissen
FoSSaCS3
2013 Hierarchical Combination
Serdar Erbatur, Deepak Kapur, Andrew M. Marshall, Paliath Narendran, Christophe Ringeissen
CADE3