On the Role of Abstract Non-Interference in Language-based Security
By: Isabella Mastroeni
Isabella Mastroeni
Dept. of Computing and Information Sciences
KSU
234 Nichols Hall
Manhattan, KS 66506 (USA)
isabellm@cis.ksu.edu
Abstract:
In this paper, we illustrate the role of the notion of Abstract
Non-Interference in language based security, by explaining how it
models both the weakening of attackers' observational capability, and
the declassification of private information. Namely, we show that in
abstract non-interference we model both attackers that can only
observe properties of public data, and private properties that can or
cannot flow. Moreover, we deepen the understanding of abstract
non-interference by comparing it, by means of examples, with some the
most interesting approaches to the weakening of non-interference, such
as the PER model, robust declassification, delimited release and
relaxed non-interference.
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