A Verified Information-Flow Architecture

SAFE is a clean-slate design for a highly secure computer system, with pervasive mechanisms for tracking and limiting information flows. At the lowest level, the SAFE hardware supports fine-grained programmable tags, with efficient and flexible propagation and combination of tags as instructions are executed. The operating system virtualizes these generic facilities to present an information-flow abstract machine that allows user programs to label sensitive data with rich confidentiality policies. We present a formal, machine-checked model of the key hardware and software mechanisms used to dynamically control information flow in SAFE and an end-to-end proof of noninterference for this model. We use a refinement proof methodology to propagate the noninterference property of the abstract machine down to the concrete machine level. We use an intermediate layer in the refinement chain that factors out the details of the information-flow control policy and devise a code generator for compiling such information-flow policies into low-level monitor code. Finally, we verify the correctness of this generator using a dedicated Hoare logic that abstracts from low-level machine instructions into a reusable set of verified structured code generators

Type Abstraction for Relaxed Noninterference

Information-flow security typing statically prevents confidential information to leak to public channels. The fundamental information flow property, known as noninterference, states that a public observer cannot learn anything from private data. As attractive as it is from a theoretical viewpoint, noninterference is impractical: real systems need to intentionally declassify some information, selectively. Among the different information flow approaches to declassification, a particularly expressive approach was proposed by Li and Zdancewic, enforcing a notion of relaxed noninterference by allowing programmers to specify declassification policies that capture the intended manner in which public information can be computed from private data. This paper shows how we can exploit the familiar notion of type abstraction to support expressive declassification policies in a simpler, yet more expressive manner. In particular, the type-based approach to declassification---which we develop in an object-oriented setting---addresses several issues and challenges with respect to prior work, including a simple notion of label ordering based on subtyping, support for recursive declassification policies, and a local, modular reasoning principle for relaxed noninterference. This work paves the way for integrating declassification policies in practical security-typed languages

Nontransitive Policies Transpiled

Nontransitive Noninterference (NTNI) and Nontransitive Types (NTT) are a new security condition and enforcement for policies which, in contrast to Denning\u27s classical lattice model, assume no transitivity of the underlying flow relation. Nontransitive security policies are a natural fit for coarse-grained information-flow control where labels are specified at module rather than variable level of granularity.While the nontransitive and transitive policies pursue different goals and have different intuitions, this paper demonstrates that nontransitive noninterference can in fact be reduced to classical transitive noninterference. We develop a lattice encoding that establishes a precise relation between NTNI and classical noninterference. Our results make it possible to clearly position the new NTNI characterization with respect to the large body of work on noninterference. Further, we devise a lightweight program transformation that leverages standard flow-sensitive information-flow analyses to enforce nontransitive policies. We demonstrate several immediate benefits of our approach, both theoretical and practical. First, we improve the permissiveness over (while retaining the soundness of) the nonstandard NTT enforcement. Second, our results naturally generalize to a language with intermediate inputs and outputs. Finally, we demonstrate the practical benefits by utilizing state-of-the-art flow-sensitive tool JOANA to enforce nontransitive policies for Java programs

Noninterference in Concurrent Game Structures

Noninterference is a technique to formally capture the intuitive notion of information flow in the context of security. Information does not flow from one agent to another if the actions of the first have no impact on the future observations of the second. Various formulations of this notion have been proposed based on state machines and the removal of actions from action sequences. A new model known as the concurrent game structure [CGS] has recently been introduced for analysis multi-agent systems. We propose an alternate formulation of noninterference defined for systems modeled by CGS\u27s and analyze the impact of the new approach on noninterference research based on existing definitions

Non Interference for Intuitionist Necessity

The necessity modality of intuitionist S4 is a comonad. In this paper, we study indexed necessity modalities that provide the logical foundation for a variety of applications; for example, to model possession of capabilities in policy languages for access control, and to track exceptions in type theories for exceptional computation. Noninterference properties of the intuitionist logic of indexed necessity modalities capture the limitations on the information flow between formulas that are under the scope of necessity modalities with different indices. The impact of noninterference is seen in the unprovability of certain formulas. Noninterference is necessary for several applications. In models of capabilities, noninterference facilitates distributed reasoning. In models of exceptions, noninterference is necessary to ensure that the exceptions are tracked conservatively. In this paper, we prove noninterference properties for indexed intuitionist necessity S4 modalities. To our knowledge, this is the first examination of noninterference results for the intuitionist S4 necessity modality (even without indexing)