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Value Sensitivity and Observable Abstract Values for Information Flow Control
Publication Type:
Conference/Workshop Paper
Venue:
20th International Conference on Logic for Programming, Artificial Intelligence and Reasoning
Abstract
Much progress has recently been made on information flow
control, enabling the enforcement of increasingly rich policies for increasingly
expressive programming languages. This has resulted in tools for
mainstream programming languages as JavaScript, Java, Caml, and Ada
that enforce versatile security policies. However, a roadblock on the way
to wider adoption of these tools has been their limited permissiveness
(high number of false positives). Flow-, context-, and object-sensitive
techniques have been suggested to improve the precision of static information
flow control and dynamic monitors have been explored to leverage
the knowledge about the current run for precision.
This paper explores value sensitivity to boost the permissiveness of information
flow control. We show that both dynamic and hybrid information
flow mechanisms benefit from value sensitivity. Further, we introduce the
concept of observable abstract values to generalize and leverage the power
of value sensitivity to richer programming languages. We demonstrate
the usefulness of the approach by comparing it to known disciplines for
dealing with information flow in dynamic and hybrid settings.
Bibtex
@inproceedings{Bello4222,
author = {Luciano Bello and Daniel Hedin and Andrei Sabelefeld},
title = {Value Sensitivity and Observable Abstract Values for Information Flow Control},
month = {November},
year = {2015},
booktitle = {20th International Conference on Logic for Programming, Artificial Intelligence and Reasoning},
url = {http://www.es.mdu.se/publications/4222-}
}