Search

Secure multi-party computation (MPC) allows a group of mutually distrustful parties to compute a joint function on their inputs without revealing any information beyond the result of the computation. This type of computation is extremely powerful and has wide-ranging applications in academia, industry, and government. Protocols for secure computation have existed for decades, but only recently have general-purpose compilers for executing MPC on arbitrary functions been developed. These projects rapidly improved the state of the art, and began to make MPC accessible to non-expert users. However, the field is changing so rapidly that it is difficult even for experts to keep track of the varied capabilities of modern frameworks. In this work, we survey general-purpose compilers for secure multi-party computation. These tools provide high-level abstractions to describe arbitrary functions and execute secure computation protocols. We consider eleven systems: EMP-toolkit, Obliv-C, ObliVM, TinyGarble, SCALE-MAMBA (formerly SPDZ), Wysteria, Sharemind, PICCO, ABY, Frigate and CBMC-GC. We evaluate these systems on a range of criteria, including language expressibility, capabilities of the cryptographic back-end, and accessibility to developers. We advocate for improved documentation of MPC frameworks, standardization within the community, and make recommendations for future directions in compiler development. Installing and running these systems can be challenging, and for each system, we also provide a complete virtual environment (Docker container) with all the necessary dependencies to run the compiler and our example programs.

The lack of memory safety in languages such as C and C++ is a root source of exploitable security vulnerabilities. This article presents Watchdog, a hardware approach that eliminates such vulnerabilities by enforcing comprehensive memory safety. Inspired by prior software-only mechanisms, Watchdog maintains bounds and identifier metadata with pointers, propagates them on pointer operations, and checks them on pointer dereferences. Checking this bounds and identifier metadata provides both precise, byte-granularity buffer-overflow protection and protection from use-after-free errors, even in the presence of reallocations. Watchdog stores pointer metadata in a disjoint shadow space to provide comprehensive protection and ensure compatibility with existing code. To streamline implementation and reduce runtime overhead, Watchdog uses micro-operations to implement metadata access and checking, eliminates metadata copies via a register renaming scheme, and uses a dedicated identifier cache to reduce checking overhead.

Languages such as C and C++ use unsafe manual memory management, allowing simple bugs (i.e., accesses to an object after deallocation) to become the root cause of exploitable security vulnerabilities. This paper proposes Watchdog, a hardware-based approach for ensuring safe and secure manual memory management. Inspired by prior software-only proposals, Watchdog generates a unique identifier for each memory allocation, associates these identifiers with pointers, and checks to ensure that the identifier is still valid on every memory access. This use of identifiers and checks enables Watchdog to detect errors even in the presence of reallocations. Watchdog stores these pointer identifiers in a disjoint shadow space to provide comprehensive protection and ensure compatibility with existing code. To streamline the implementation and reduce runtime overhead: Watchdog (1) uses micro-ops to access metadata and perform checks, (2) eliminates metadata copies among registers via modified register renaming, and (3) uses a dedicated metadata cache to reduce checking overhead. Furthermore, this paper extends Watchdog's mechanisms to detect bounds errors, thereby providing full hardware-enforced memory safety at low overheads.

This paper presents AURA, a programming language for access control that treats ordinary programming constructs (e.g., integers and recursive functions) and authorization logic constructs (e.g., principals and access control policies) in a uniform way. AURA is based on polymorphic DCC and uses dependent types to permit assertions that refer directly to AURA values while keeping computation out of the assertion level to ensure tractability. The main technical results of this paper include fully mechanically verified proofs of the decidability and soundness for AURA's type system, and a prototype typechecker and interpreter.

Lack of memory safety in C is the root cause of a multitude of serious bugs and security vulnerabilities. Numerous software-only and hardware-based schemes have been proposed to enforce memory safety. Among these approaches, pointer-based checking, which maintains per-pointer metadata in a disjoint metadata space, has been recognized as providing comprehensive memory safety. Software approaches for pointer-based checking have high performance overheads. In contrast, hardware approaches introduce a myriad of hardware structures and widgets to mitigate those performance overheads.This paper proposes WatchdogLite, an ISA extension that provides hardware acceleration for a compiler implementation of pointer-based checking. This division of labor between the compiler and the hardware allows for hardware acceleration while using only preexisting architectural registers. By leveraging the compiler to identify pointers, perform check elimination, and insert the new instructions, this approach attains performance similar to prior hardware-intensive approaches without adding any hardware structures for tracking metadata.

Many programs operate reactively--patiently waiting for user input, running for a while producing output, and eventually returning to a state where they are ready to accept another input (or occasionally diverging). When a reactive program communicates with multiple parties, we would like to be sure that it can be given secret information by one without leaking it to others.Motivated by web browsers and client-side web applications, we explore definitions of noninterference for reactive programs and identify two of special interest--one corresponding to termination-insensitive noninterference for a simple sequential language, the other to termination-sensitive noninterference. We focus on the former and develop a proof technique for showing that program behaviors are secure according to this definition. To demonstrate the viability of the approach, we define a simple reactive language with an information-flow type system and apply our proof technique to show that well-typed programs are secure.

Access control and privacy policy relations tend to focus on decision outcomes and are very sensitive to defined terms and state. Small changes or updates to a policy language or vocabulary may make two similar policies incomparable. To address this we develop two flexible policy relations derived from bisimulation in process calculi. Strong licensing compares the outcome of two policies strictly, similar to strong bisimulation. Weak licensing compares the outcome of policies more flexibly by ignoring irrelevant (non-conflicting)differences between outcomes, similar to weak bisimulation. We illustrate the relations using examples from P3P.

Security views are a flexible and effective mechanism for controlling access to confidential information. Rather than allowing untrusted users to access source data directly, they are instead provided with are restricted view, from which all confidential information has been removed. The program that generates the view effectively embodies a confidentiality policy for the underlying source data. However, this approach has a significant drawback: it prevents users from updating the data in the view.To address the "view update problem" in general, a number of bidirectional languages have been proposed. Programs in these languages---often called lenses---can be run in two directions: read from left to right, they map sources to views; from right to left,they map updated views back to updated sources. However, existing bidirectional languages do not deal adequately with security. In particular, they do not provide a way to ensure the integrity of source data as it is manipulated by untrusted users of the view.We propose a novel framework of secure lenses that addresses these shortcomings. We enrich the types of basic lenses with equivalence relations capturing notions of confidentiality and integrity, and formulate the essential security conditions as non-interference properties. We then instantiate this framework in the domain of string transformations, developing syntax for bidirectional string combinators with security-annotated regular expressions as their types.

Authorization logics provide a principled and flexible approach to specifying access control policies. One of their compelling benefits is that a proof in the logic is evidence that an access-control decision has been made in accordance with policy. Using such proofs for auditing reduces the trusted computing base and enables the ability to detect flaws in complex authorization policies. Moreover, the proof structure is itself useful, because proof normalization can yield information about the relevance of policy statements. Untrusted, but well-typed, applications that access resources through an appropriate interface must obey the access control policy and create proofs useful for audit. This paper presents AURA_0, an authorization logic based on a dependently-typed variant of DCC and proves the metatheoretic properties of subject-reduction and normalization. It shows the utility of proof-based auditing in a number of examples and discusses several pragmatic issues that must be addressed in this context.

How close are we to a world in which mechanically verified software is commonplace? A world in which theorem proving technology is used routinely by both software developers and programming language researchers alike? One crucial step towards achieving these goals is mechanized reasoning about language metatheory. The time has come to bring together the theorem proving and programming language communities to address this problem. We have proposed the POPLMark challenge as a concrete set of benchmarks intended both for measuring progress in this area and for stimulating discussion and collaboration. Our goal is to push the boundaries of existing technology to the point where we can achieve mechanized metatheory for the masses.

This paper describes the design and implementation of ABASH, a tool for statically analyzing programs written in the bash scripting language. Although it makes no formal guarantees against missed errors or spurious warnings (largely due to the highly dynamic nature of bash scripts), ABASHis useful for detecting certain common program errors that may lead to security vulnerabilities. In experiments with 49 bash scripts taken from popular Internet repositories, ABASH was able to identify 20 of them as containing bugs of varying severity while yielding only a reasonable number of spurious warnings on both these scripts and the generally bug-free initialization scripts of the Ubuntu Linux distribution. ABASH works by performing abstract interpretation of a bash script via an abstract semantics that accounts for shell variable expansion. The analysis is also parameterized by a collection of signatures that describe external program interfaces (for Unix commands, etc.), yielding an easily configurable and extensible framework for finding bugs in bash scripts

Information-flow security policies are an appealing way of specifying confidentiality and integrity policies in information systems. Most previous work on language-based security has assumed that programs run in a closed, managed environment and that they use potentially unsafe constructs, such as declassification, to interface to external communication channels, perhaps after encrypting data to preserve its confidentiality. This situation is unsatisfactory for systems that need to communicate over untrusted channels or use untrusted persistent storage, since the connection between the cryptographic mechanisms used in the untrusted environment and the abstract security labels used in the trusted language environment is ad hoc and unclear. This paper addresses this problem in three ways: first, it presents a simple, security-typed language with a novel mechanism called packages that provides an abstract means for creating opaque objects and associating them with security labels; well-typed programs in this language enforce noninterference. Second, it shows how to implement these packages using public-key cryptography. This implementation strategy uses a variant of Myers and Liskov's decentralized label model, which supports a rich label structure in which mutually distrusting data owners can specify independent confidentiality and integrity requirements. Third, it demonstrates that this implementation of packages is sound with respect to Dolev-Yao style attackers-such an attacker cannot determine the contents of a package without possessing the appropriate keys, as determined by the security label on the package.

This paper presents a practical application of language-based information-flow control, namely, a domain-specific Web scripting language designed for interfacing with databases. The primary goal is to provide strong enforcement of confidentiality and integrity policies: confidential data can be released only in permitted ways and trustworthy data must result from expected computations or conform to expected patterns. Such security policies are specified in the database layer and statically enforced for the rest of the system in an end-to-end fashion. In contrast with existing Web-scripting languages, which provide only ad hoc mechanisms for information security, the scripting language described here uses principles based on the well-studied techniques in information-flow type systems. However, because Web scripts often need to downgrade confidential data and manipulated untrusted user input, they require practical and convenient ways of downgrading secure data. To achieve this goal, the language allows safe downgrading according to downgrading policies specified by the programmer. This novel, pattern-based approach provides a practical instance of recent work on delimited release and relaxed noninterference and extends that work by accounting for integrity policies.

This paper presents a calculus that supports information-flow security policies and certificate-based declassification. The decentralized label model and its downgrading mechanisms are concisely expressed in the polymorphic lambda calculus with subtyping (System F≽). We prove a conditioned version of the noninterference theorem such that authorization for declassification is justified by digital certificates from public-key infrastructures.

Java Card technology simplifies the development of smart card applications by providing a high-level programming language similar to Java. However, the master-slave programming model used in current Java Card platform creates control flow difficulties when writing complex card programs, making it inconvenient, tedious, and error-prone to implement Java Card applications. This paper examines these drawbacks of the master-slave model and proposes a concurrent thread model for developing future Java Card programs, which is much closer to conventional Java network programming. This paper also presents a code translation algorithm and a corresponding tool that makes it possible to write card programs in the concurrent thread model without losing compatibility with the existing Java Card API.

Information-flow type systems are a promising approach for enforcing strong end-to-end confidentiality and integrity policies. Such policies, however, are usually specified in terms of static information—data is labeled high or low security at compile time. In practice, the confidentiality of data may depend on information available only while the system is running. This article studies language support for run-time principals , a mechanism for specifying security policies that depend on which principals interact with the system. We establish the basic property of noninterference for programs written in such language, and use run-time principals for specifying run-time authority in downgrading mechanisms such as declassification. In addition to allowing more expressive security policies, run-time principals enable the integration of language-based security mechanisms with other existing approaches such as Java stack inspection and public key infrastructures. We sketch an implementation of run-time principals via public keys such that principal delegation is verified by certificate chains.

This paper presents secure program partitioning, a language-based technique for protecting confidential data during computation in distributed systems containing mutually untrusted hosts. Confidentiality and integrity policies can be expressed by annotating programs with security types that constrain information flow; these programs can then be partitioned automatically to run securely on heterogeneously trusted hosts. The resulting communicating subprograms collectively implement the original program, yet the system as a whole satisfies the security requirements of participating principals without requiring a universally trusted host machine. The experience in applying this methodology and the performance of the resulting distributed code suggest that this is a promising way to obtain secure distributed computation.

Two of the main ways to protect security-sensitive resources in computer systems are to enforce access-control policies and information-flow policies. In this paper, we show how to enforce information-flow policies in AURA, which is a programming language for access control. When augmented with this mechanism for enforcing information-flow polices, AURA can further improve the security of reference monitors that implement access control. We show how to encode security types and lattices of security labels using AURA's existing constructs for authorization logic. We prove a noninterference theorem for this encoding. We also investigate how to use expressive access-control policies specified in authorization logic as the policies for information declassification.

How close are we to a world where every paper on programming languages is accompanied by an electronic appendix with machine-checked proofs? We propose an initial set of benchmarks for measuring progress in this area. Based on the metatheory of System F