A promising approach to defend against side channel attacks is to build programs that are leakage resilient, in a formal sense. One such formal notion of leakage resilience is the n-threshold-probing model proposed in the seminal work by Ishai et al. [16]. In a recent work [9], Eldib and Wang have proposed a method for automatically synthesizing programs that are leakage resilient according to this model, for the case n = 1. In this paper, we show that the n-threshold-probing model of leakage resilience enjoys a certain compositionality property that can be exploited for synthesis.We use the property to design a synthesis method that efficiently synthesizes leakage-resilient programs in a compositional manner, for the general case of n &gt
1. We have implemented a prototype of the synthesis algorithm, and we demonstrate its effectiveness by synthesizing leakage-resilient versions of benchmarks taken from the literature.

We present a novel approach to proving the absence of timing channels. The idea is to partition the program's execution traces in such a way that each partition component is checked for timing attack resilience by a time complexity analysis and that per-component resilience implies the resilience of the whole program. We construct a partition by splitting the program traces at secret-independent branches. This ensures that any pair of traces with the same public input has a component containing both traces. Crucially, the per-component checks can be normal safety properties expressed in terms of a single execution. Our approach is thus in contrast to prior approaches, such as self-composition, that aim to reason about multiple (k >= 2) executions at once.
We formalize the above as an approach called quotient partitioning, generalized to any k-safety property, and prove it to be sound. A key feature of our approach is a demand-driven partitioning strategy that uses a regex-like notion called trails to identify sets of execution traces, particularly those influenced by tainted (or secret) data. We have applied our technique in a prototype implementation tool called Blazer, based on WALA, PPL, and the brics automaton library. We have proved timing-channel freedom of (or synthesized an attack specification for) 24 programs written in Java bytecode, including 6 classic examples from the literature and 6 examples extracted from the DARPA STAC challenge problems.

We present an automated approach to verifying arbitrary omega regular properties of higher-order functional programs. Previous automated methods proposed for this class of programs could only handle safety properties or termination, and our approach is the first to be able to verify arbitrary omega-regular liveness properties. Our approach is automata-theoretic, and extends our recent work on binary-reachability-based approach to automated termination verification of higher-order functional programs to fair termination published in ESOP 2014. In that work, we have shown that checking disjunctive well-foundedness of (the transitive closure of) the "calling relation" is sound and complete for termination. The extension to fair termination is tricky, however, because the straightforward extension that checks disjunctive well-foundedness of the fair calling relation turns out to be unsound, as we shall show in the paper. Roughly, our solution is to check fairness on the transition relation instead of the calling relation, and propagate the information to determine when it is necessary and sufficient to check for disjunctive well-foundedness on the calling relation. We prove that our approach is sound and complete. We have implemented a prototype of our approach, and confirmed that it is able to automatically verify liveness properties of some non-trivial higher-order programs.

Recursion-free Horn-clause constraints have received much recent attention in the verification community. It extends Craig interpolation, and is proposed as a unifying formalism for expressing abstraction refinement. In abstraction refinement, it is often desirable to infer “simple” refinements, and researchers have studied techniques for inferring simple Craig interpolants. Drawing on the line of work, this paper presents a technique for inferring simple solutions to recursion-free Hornclause constraints. Our contribution is a constraint solving algorithm that lazily samples fragments of the given constraints whose solution spaces are used to form a simple solution for the whole. We have implemented a prototype of the constraint solving algorithm in a verification tool, and have confirmed that it is able to infer simple solutions that aid the verification process.

Safety property (i.e., reachability) verification is undecidable for Turing-complete programming languages. Nonetheless, recent progress has lead to heuristic verification methods, such as the ones based on predicate abstraction with counter example-guided refinement (CEGAR), that work surprisingly well in practice. In this paper, we investigate the effectiveness of the small refinement heuristic which, for abstraction refinement in CEGAR, uses (the predicates in) a small proof of the given counterexample's spuriousness [3,12,17,22]. Such a method has shown to be quite effective in practice but thus far lacked a theoretical backing. Our core result is that the heuristic guarantees certain bounds on the number of CEGAR iterations, relative to the size of a proof for the input program.

In counterexample-guided abstraction refinement, a predicate refinement scheme is said to be complete for a given theory if it is guaranteed to eventually find predicates sufficient to prove the given property, when such exist. However, existing complete methods require deciding if a proof of the counterexample's spuriousness exists in some finite language of predicates. Such an exact finite-language-restricted predicate search is quite hard for many theories used in practice and incurs a heavy overhead. In this paper, we address the issue by showing that the language restriction can be relaxed so that the refinement process is restricted to infer proofs from some finite language L-base boolean OR L-ext but is only required to return a proof when the counterexample's spuriousness can be proved in L-base. Then, we show how a proof-based refinement algorithm can be made to satisfy the relaxed requirement and be complete by restricting only the theory-level reasoning in SMT to emit L-base-restricted partial interpolants (while such an approach has been proposed previously, we show for the first time that it can be done for languages that are not closed under conjunctions and disjunctions). We also present a technique that uses a property of counterexample patterns to further improve the efficiency of the refinement algorithm while still satisfying the requirement. We have experimented with a prototype implementation of the new refinement algorithm, and show that it is able to achieve complete refinement with only a small overhead.

We present an automated approach to verifying termination of higher-order functional programs. Our approach adopts the idea from the recent work on termination verification via transition invariants (a.k.a. binary reachability analysis), and is fully automated. Our approach is able to soundly handle the subtle aspects of higher-order programs, including partial applications, indirect calls, and ranking functions over function closure values. In contrast to the previous approaches to automated termination verification for functional programs, our approach is sound and complete, relative to the soundness and completeness of the underlying reachability analysis and ranking function inference. We have implemented a prototype of our approach for a subset of the OCaml language, and we have confirmed that it is able to automatically verify termination of some non-trivial higher-order programs.

We present the first method for reasoning about temporal logic properties of higher-order, infinite-data programs. By distinguishing between the finite traces and infinite traces in the specification, we obtain rules that permit us to reason about the temporal behavior of program parts via a type-and-effect system, which is then able to compose these facts together to prove the overall target property of the program. The type system alone is strong enough to derive many temporal safety properties using refinement types and temporal effects. We also show how existing techniques can be used as oracles to provide liveness information (e.g. termination) about program parts and that the type-and-effect system can combine this information with temporal safety information to derive nontrivial temporal properties. Our work has application toward verification of higher-order software, as well as modular strategies for procedural programs. Copyright © 2014 ACM.

We employ Clarkson and Schneider's "hyperproperties" to classify various verification problems of quantitative information flow. The results of this paper unify and extend the previous results on the hardness of checking and inferring quantitative information flow. In particular, we identify a subclass of liveness hyperproperties, which we call "k-observable hyperproperties", that can be checked relative to a reachability oracle via self composition. (C) 2013 Elsevier B.V. All rights reserved.

We present an automated approach to relatively completely verifying safety (i.e., reachability) property of higher-order functional programs. Our contribution is two-fold. First, we extend the refinement type system framework employed in the recent work on (incomplete) automated higher-order verification by drawing on the classical work on relatively complete "Hoare logic like" program logic for higher-order procedural languages. Then, by adopting the recently proposed techniques for solving constraints over quantified first-order logic formulas, we develop an automated type inference method for the type system, thereby realizing an automated relatively complete verification of higher-order programs. Copyright © 2013 ACM.

We employ Clarkson and Schneider's "hyperproperties" to classify various verification problems of quantitative information flow. The results of this paper unify and extend the previous results on the hardness of checking and inferring quantitative information flow. In particular, we identify a subclass of liveness hyperproperties, which we call "k-observable hyperproperties", that can be checked relative to a reachability oracle via self composition.

Researchers have proposed formal definitions of quantitative information flow based on information theoretic notions such as the Shannon entropy, the min entropy, the guessing entropy, belief, and channel capacity. This paper investigates the hardness of precisely checking the quantitative information flow of a program according to such definitions. More precisely, we study the "bounding problem" of quantitative information flow, defined as follows: Given a program M and a positive real number q, decide if the quantitative information flow of M is less than or equal to q. We prove that the bounding problem is not a k-safety property for any k (even when q is fixed, for the Shannon-entropy-based definition with the uniform distribution), and therefore is not amenable to the self-composition technique that has been successfully applied to checking non-interference. We also prove complexity theoretic hardness results for the case when the program is restricted to loop-free Boolean programs. Specifically, we show that the problem is PP-hard for all definitions, showing a gap with non-interference which is coNP-complete for the same class of programs. The paper also compares the results with the recently proved results on the comparison problems of quantitative information flow. © 2011 - IOS Press and the authors. All rights reserved.

Motivated by recent research in abstract model checking, we present a new approach to inferring dependent types. Unlike many of the existing approaches, our approach does not rely on programmers to supply the candidate (or the correct) types for the recursive functions and instead does counterexample-guided refinement to automatically generate the set of candidate dependent types. The main idea is to extend the classical fixed-point type inference routine to return a counterexample if the program is found untypable with the current set of candidate types. Then, an interpolating theorem prover is used to validate the counterexample as a real type error or generate additional candidate dependent types to refute the spurious counterexample. The process is repeated until either a real type error is found or sufficient candidates are generated to prove the program typable. Our system makes non-trivial use of "linear" intersection types in the refinement phase.
The paper presents the type inference system and reports on the experience with a prototype implementation that infers dependent types for a subset of the Ocaml language. The implementation infers dependent types containing predicates from the quantifier-free theory of linear arithmetic and equality with uninterpreted function symbols.

Researchers have proposed formal definitions of quantitative information flow based on information theoretic notions such as the Shannon entropy, the min entropy, the guessing entropy, and channel capacity. This paper investigates the hardness of precisely checking the quantitative information flow of a program according to such definitions. More precisely, we study the "bounding problem" of quantitative information flow, defined as follows: Given a program M and a positive real number q, decide if the quantitative information flow of M is less than or equal to q. We prove that the bounding problem is not; a k-safety property for any k (even when q is fixed, for the Shannon-entropy-based definition with the uniform distribution), and therefore is not; amenable to the self-composition technique that has been successfully applied to checking non-interference. We also prove complexity theoretic hardness results for the case when the program is restricted to loop-free boolean programs. Specifically, we show that the problem is PP-hard for all the definitions, showing a gap with non-interference which is coNP-complete for the same class of programs. The paper also compares the results with the recently proved results on the comparison problems of quantitative information flow.

Researchers have proposed formal definitions of quantitative information flow based on information theoretic notions such as the Shannon entropy, the min entropy, the guessing entropy, and channel capacity. This paper investigates the hardness and possibilities of precisely checking and inferring quantitative information flow according to such definitions.
We prove that, even for just comparing two programs on which has the larger flow, none of the definitions is a k-safety property for any k, and therefore is not amenable to the self-composition technique that has been successfully applied to precisely checking non-interference. We also show a complexity theoretic gap with non-interference by proving that, for loop-free boolean programs whose non-interference is coNP-complete, the comparison problem is #P-hard for all of the definitions.
For positive results, we show that universally quantifying the distribution in the comparison problem, that is, comparing two programs according to the entropy based definitions on which has the larger flow for all distributions, is a 2-safety problem in general and is coNP-complete when restricted for loop-free boolean programs. We prove this by showing that the problem is equivalent to a simple relation naturally expressing the fact that one program is more secure than the other. We prove that the relation also refines the channel-capacity based definition, and that it can be precisely checked via the self-composition as well as the "interleaved" self-composition technique.

The capability calculus is a framework for statically reasoning about program resources such as deallocatable memory regions. Fractional capabilities, originally proposed by Boyland for checking the determinism of parallel reads hi multi-thread programs, extend the capability calculus by extending the capabilities to range over the rational numbers. Fractional capabilities have since found numerous applications, including race detection, buffer bound inference, security analyses, and separation logic. However, previous work on fractional capability systems either lacked polymorphism or lacked an efficient inference procedure. Automated inference is important; for the application of the calculus to static analysis. This paper addresses the issue by presenting a, polymorphic fractional capability calculus that, allows polynomial-time inference via a reduction to rational linear programming.

We present a new approach to the old problem of adding global mutable state to purely functional languages. Our idea is to extend the language with "witnesses," which is based on an arguably more pragmatic motivation than past approaches. We give a semantic condition for correctness and prove it is sufficient. We also give a somewhat surprising static checking algorithm that makes use of a network flow property equivalent to the semantic condition via reduction to a satisfaction problem for a system of linear inequalities.

This article presents a static system for checking determinism (technically, partial confluence) of communicating concurrent processes. Our approach automatically detects partial confluence in programs communicating via a mix of different kinds of communication methods: rendezvous channels, buffered channels, broadcast channels, and reference cells. Our system reduces the partial confluence checking problem in polynomial time (in the size of the program) to the problem of solving a system of rational linear inequalities, and is thus efficient.

We present a new static analysis for race freedom and race detection. The analysis checks race freedom by reducing the problem to ( rational) linear programming. Unlike conventional static analyses for race freedom or race detection, our analysis avoids explicit computation of locksets and lock linearity/must-aliasness. Our analysis can handle a variety of synchronization idioms that more conventional approaches often have difficulties with, such as thread joining, semaphores, and signals. We achieve efficiency by utilizing modern linear programming solvers that can quickly solve large linear programming instances. This paper reports on the formal properties of the analysis and the experience with applying an implementation to real world C programs.

We present a static analysis for inferring the maximum amount of buffer space used by a program consisting of concurrently running processes communicating via buffered channels. We reduce the problem to linear programming by casting the analysis as a fractional capability calculus system. Our analysis can reason about buffers used by multiple processes concurrently, and runs in time polynomial in the size of the program.

Zdancewic and Myers introduced observational determinism as a scheduler independent notion of security for concurrent programs. This paper proposes a type system for verifying observational determinism. Our type system verifies observational determinism by itself and does not require the type checked program to be confluent. A polynomial time type inference algorithm is also presented.

We show that typability for a natural form of polymorphic recursive typing for rank-2 intersection types is undecidable. Our proof involves characterizing typability as a conte-xtfree language (CFL) graph problem, which may be of independent interest, and reduction from the boundedness problemfor Turing machines. We also show a property of the type system which, in conjunction with the undecidability result, disproves a misconception about the MilnerMycroft type system. We also show undecidability of a related program analysis problem.

We present a capability calculus for checking partial confluence of channel-communicating concurrent processes. Our approach automatically detects more programs to be partially confluent than previous approaches and is able to handle a mix of different kinds of communication channels, including shared reference cells.

The termination insensitive secure information flow problem can be reduced to solving a safety problem via a simple program transformation. Barthe, D'Argenio, and Rezk coined the term "self-composition" to describe this reduction. This paper generalizes the self-compositional approach with a form of information downgrading recently proposed by Li and Zdancewic. We also identify a problem with applying the self-compositional approach in practice, and we present a solution to this problem that makes use of more traditional type-based approaches. The result is a framework that combines the best of both worlds, i.e., better than traditional type-based approaches and better than the self-compositional approach.

We present a new approach to the old problem of adding side effects to purely functional languages. Our idea is to extend the language with "witnesses," which is based on an arguably more pragmatic motivation than past approaches. We give a semantic condition for correctness and prove it is sufficient. We also give a static checking algorithm that makes use of a network flow property equivalent to the semantic condition.

In prior work [15] we studied a language construct restrict that allows programmers to specify that certain pointers are not aliased to other pointers used within a lexical scope. Among other applications, programming with these constructs helps program analysis tools locally recover strong updates, which can improve the tracking of state in flow-sensitive analyses. In this paper we continue the study of restrict and introduce the construct confine. We present a type and effect system for checking the correctness of these annotations, and we develop efficient constraint-based algorithms implementing these type checking systems. To make it easier to use restrict and confine in practice, we show how to automatically infer such annotations without programmer assistance. In experiments on locking in 589 Linux device drivers, confine inference can automatically recover strong updates to eliminate 95% of the type errors resulting from weak updates.

We present a system for extending standard type systems with flow-sensitive type qualifiers. Users annotate their programs with type, qualifiers, and inference checks that the annotations are correct. In our system only the type qualifiers are modeled flow-sensitively-the underlying standard types are unchanged, which allows us to obtain an efficient constraint-based inference algorithm that integrates flow-insensitive alias analysis, effect inference, and ideas from linear type systems to support strong updates. We demonstrate the usefulness of flow-sensitive type qualifiers by finding a number of new locking bugs in the Linux kernel.

We describe an experimental mobile augmented reality system (MARS) testbed that employs different user interfaces to allow outdoor and indoor users to access and manage information that is spatially registered with the real world. Outdoor users can experience spatialized multimedia presentations that are presented on a head-tracked, see-through, head-worn display used in conjunction with a hand-held pen-based computer. Indoor users can get an overview of the outdoor scene and communicate with outdoor users through a desktop user interface or a head- and hand-tracked immersive augmented reality user interface. (C) 1999 Elsevier Science Limited. All rights reserved.