Correct and Efficient Policy Monitoring, a Retrospective

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

The MonPoly project started over a decade ago to build effective tools for monitoring trace properties, including functional correctness, security, and compliance policies. The original MonPoly tool supported monitoring specifications given in metric first-order temporal logic, an expressive specification language. It handled both the online case, where system events are monitored as they occur, and the offline case, monitoring logs. Our tool has evolved over time into a family of tools and supporting infrastructure to make monitoring both scalable and suitable for high assurance applications. We survey this evolution which includes: (1) developing more expressive monitors, e.g., adding aggregation operators, regular expressions, and limited forms of recursion; (2) delimiting efficiently monitorable fragments and designing new monitoring algorithms for them; (3) supporting parallel and distributed monitoring; (4) using theorem proving to verify monitoring algorithms and explore extensions; and (5) carrying out ambitious case studies.

OriginalsprogEngelsk
TitelAutomated Technology for Verification and Analysis - 21st International Symposium, ATVA 2023, Proceedings
RedaktørerÉtienne André, Jun Sun
ForlagSpringer
Publikationsdato2023
Sider3-30
ISBN (Trykt)9783031453281
DOI
StatusUdgivet - 2023
Begivenhed21st International Symposium on Automated Technology for Verification and Analysis, ATVA 2023 - Singapore, Singapore
Varighed: 24 okt. 202327 okt. 2023

Konference

Konference21st International Symposium on Automated Technology for Verification and Analysis, ATVA 2023
LandSingapore
BySingapore
Periode24/10/202327/10/2023
NavnLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Vol/bind14215 LNCS
ISSN0302-9743

Bibliografisk note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

ID: 373513326