---
_id: '10774'
abstract:
- lang: eng
text: We study the problem of specifying sequential information-flow properties
of systems. Information-flow properties are hyperproperties, as they compare different
traces of a system. Sequential information-flow properties can express changes,
over time, in the information-flow constraints. For example, information-flow
constraints during an initialization phase of a system may be different from information-flow
constraints that are required during the operation phase. We formalize several
variants of interpreting sequential information-flow constraints, which arise
from different assumptions about what can be observed of the system. For this
purpose, we introduce a first-order logic, called Hypertrace Logic, with both
trace and time quantifiers for specifying linear-time hyperproperties. We prove
that HyperLTL, which corresponds to a fragment of Hypertrace Logic with restricted
quantifier prefixes, cannot specify the majority of the studied variants of sequential
information flow, including all variants in which the transition between sequential
phases (such as initialization and operation) happens asynchronously. Our results
rely on new equivalences between sets of traces that cannot be distinguished by
certain classes of formulas from Hypertrace Logic. This presents a new approach
to proving inexpressiveness results for HyperLTL.
acknowledgement: This work was funded in part by the Wittgenstein Award Z211-N23 of
the Austrian Science Fund (FWF) and by the FWF project W1255-N23.
alternative_title:
- LNCS
article_processing_charge: No
author:
- first_name: Ezio
full_name: Bartocci, Ezio
last_name: Bartocci
- first_name: Thomas
full_name: Ferrere, Thomas
id: 40960E6E-F248-11E8-B48F-1D18A9856A87
last_name: Ferrere
orcid: 0000-0001-5199-3143
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000-0002-2985-7724
- first_name: Dejan
full_name: Nickovic, Dejan
id: 41BCEE5C-F248-11E8-B48F-1D18A9856A87
last_name: Nickovic
- first_name: Ana Oliveira
full_name: Da Costa, Ana Oliveira
last_name: Da Costa
citation:
ama: 'Bartocci E, Ferrere T, Henzinger TA, Nickovic D, Da Costa AO. Flavors of sequential
information flow. In: Lecture Notes in Computer Science (Including Subseries
Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
Vol 13182. Springer Nature; 2022:1-19. doi:10.1007/978-3-030-94583-1_1'
apa: 'Bartocci, E., Ferrere, T., Henzinger, T. A., Nickovic, D., & Da Costa,
A. O. (2022). Flavors of sequential information flow. In Lecture Notes in Computer
Science (including subseries Lecture Notes in Artificial Intelligence and Lecture
Notes in Bioinformatics) (Vol. 13182, pp. 1–19). Philadelphia, PA, United
States: Springer Nature. https://doi.org/10.1007/978-3-030-94583-1_1'
chicago: Bartocci, Ezio, Thomas Ferrere, Thomas A Henzinger, Dejan Nickovic, and
Ana Oliveira Da Costa. “Flavors of Sequential Information Flow.” In Lecture
Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence
and Lecture Notes in Bioinformatics), 13182:1–19. Springer Nature, 2022. https://doi.org/10.1007/978-3-030-94583-1_1.
ieee: E. Bartocci, T. Ferrere, T. A. Henzinger, D. Nickovic, and A. O. Da Costa,
“Flavors of sequential information flow,” in Lecture Notes in Computer Science
(including subseries Lecture Notes in Artificial Intelligence and Lecture Notes
in Bioinformatics), Philadelphia, PA, United States, 2022, vol. 13182, pp.
1–19.
ista: 'Bartocci E, Ferrere T, Henzinger TA, Nickovic D, Da Costa AO. 2022. Flavors
of sequential information flow. Lecture Notes in Computer Science (including subseries
Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
VMCAI: Verifcation, Model Checking, and Abstract Interpretation, LNCS, vol. 13182,
1–19.'
mla: Bartocci, Ezio, et al. “Flavors of Sequential Information Flow.” Lecture
Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence
and Lecture Notes in Bioinformatics), vol. 13182, Springer Nature, 2022, pp.
1–19, doi:10.1007/978-3-030-94583-1_1.
short: E. Bartocci, T. Ferrere, T.A. Henzinger, D. Nickovic, A.O. Da Costa, in:,
Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial
Intelligence and Lecture Notes in Bioinformatics), Springer Nature, 2022, pp.
1–19.
conference:
end_date: 2022-01-18
location: Philadelphia, PA, United States
name: 'VMCAI: Verifcation, Model Checking, and Abstract Interpretation'
start_date: 2022-01-16
date_created: 2022-02-20T23:01:34Z
date_published: 2022-01-14T00:00:00Z
date_updated: 2022-08-05T09:02:56Z
day: '14'
department:
- _id: ToHe
doi: 10.1007/978-3-030-94583-1_1
external_id:
arxiv:
- '2105.02013'
intvolume: ' 13182'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: ' https://doi.org/10.48550/arXiv.2105.02013'
month: '01'
oa: 1
oa_version: Preprint
page: 1-19
project:
- _id: 25F42A32-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: Z211
name: The Wittgenstein Prize
publication: Lecture Notes in Computer Science (including subseries Lecture Notes
in Artificial Intelligence and Lecture Notes in Bioinformatics)
publication_identifier:
eissn:
- '16113349'
isbn:
- '9783030945824'
issn:
- '03029743'
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Flavors of sequential information flow
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 13182
year: '2022'
...