Foundations and applications of program obfuscation

Code is said to be obfuscated if it is intentionally difficult for humans to understand. Obfuscating a program conceals its sensitive implementation details and protects it from reverse engineering and hacking. Beyond software protection, obfuscation is also a powerful cryptographic tool, enabling a variety of advanced applications. Ideally, an obfuscated program would hide any information about the original program that cannot be obtained by simply executing it. However, Barak et al. [CRYPTO 01] proved that for some programs, such ideal obfuscation is impossible. Nevertheless, Garg et al. [FOCS 13] recently suggested a candidate general-purpose obfuscator which is conjectured to satisfy a weaker notion of security called indistinguishability obfuscation. In this thesis, we study the feasibility and applicability of secure obfuscation: - What notions of secure obfuscation are possible and under what assumptions? - How useful are weak notions like indistinguishability obfuscation? Our first result shows that the applications of indistinguishability obfuscation go well beyond cryptography. We study the tractability of computing a Nash equilibrium vii of a game { a central problem in algorithmic game theory and complexity theory. Based on indistinguishability obfuscation, we construct explicit games where a Nash equilibrium cannot be found efficiently. We also prove the following results on the feasibility of obfuscation. Our starting point is the Garg at el. obfuscator that is based on a new algebraic encoding scheme known as multilinear maps [Garg et al. EUROCRYPT 13]. 1. Building on the work of Brakerski and Rothblum [TCC 14], we provide the first rigorous security analysis for obfuscation. We give a variant of the Garg at el. obfuscator and reduce its security to that of the multilinear maps. Specifically, modeling the multilinear encodings as ideal boxes with perfect security, we prove ideal security for our obfuscator. Our reduction shows that the obfuscator resists all generic attacks that only use the encodings' permitted interface and do not exploit their algebraic representation. 2. Going beyond generic attacks, we study the notion of virtual-gray-box obfusca- tion [Bitansky et al. CRYPTO 10]. This relaxation of ideal security is stronger than indistinguishability obfuscation and has several important applications such as obfuscating password protected programs. We formulate a security requirement for multilinear maps which is sufficient, as well as necessary for virtual-gray-box obfuscation. 3. Motivated by the question of basing obfuscation on ideal objects that are simpler than multilinear maps, we give a negative result showing that ideal obfuscation is impossible, even in the random oracle model, where the obfuscator is given access to an ideal random function. This is the first negative result for obfuscation in a non-trivial idealized model

On the Impossibility of Approximate Obfuscation and Applications to Resettable Cryptography

The traditional notion of {\em program obfuscation} requires that an obfuscation $\tilde{f}$ of a program $f$ computes the exact same function as $f$, but beyond that, the code of $\tilde{f}$ should not leak any information about $f$. This strong notion of {\em virtual black-box} security was shown by Barak et al. (CRYPTO 2001) to be impossible to achieve, for certain {\em unobfuscatable function families}. The same work raised the question of {\em approximate obfuscation}, where the obfuscated $\tilde{f}$ is only required to approximate $\tilde{f}$; that is, $\tilde{f}$ only agrees with $f$ on some input distribution. We show that, assuming {\em trapdoor permutations}, there exist families of {\em robust unobfuscatable functions} for which even approximate obfuscation is impossible. That is, obfuscation is impossible even if the obfuscated $\tilde{f}$ only agrees with $f$ with probability slightly more than $\frac{1}{2}$, on a uniformly sampled input (below $\frac{1}{2}$-agreement, the function obfuscated by $\tilde{f}$ is not uniquely defined). Additionally, we show that, assuming only one-way functions, we can rule out approximate obfuscation where $\tilde{f}$ is not allowed to err, but may refuse to compute $f$ with probability close to $1$. We then demonstrate the power of robust unobfuscatable functions by exhibiting new implications to resettable protocols that so far have been out of our reach. Concretely, we obtain a new non-black-box simulation technique that reduces the assumptions required for resettably-sound zero-knowledge protocols to {\em one-way functions}, as well as reduce round-complexity. We also present a new simplified construction of simultaneously resettable zero-knowledge protocols that does not rely on collision-resistent hashing. Finally, we construct a three-message simultaneously resettable \WI {\em argument of knowledge} (with a non-black-box knowledge extractor). Our constructions are based on a special kind of ``resettable slots that are useful for a non-black-box simulator, but not for a resetting prover

On the Equivalence of Obfuscation and Multilinear Maps

Garg et al. [FOCS 2013] showed how to construct indistinguishability obfuscation (iO) from a restriction of cryptographic multilinear maps called Multilinear Jigsaw Puzzles. Since then, a number of other works have shown constructions and security analyses for iO from different abstractions of multilinear maps. However, the converse question --- whether some form of multilinear maps follows from iO --- has remained largely open. We offer an abstraction of multilinear maps called Polynomial Jigsaw Puzzles, and show that iO for circuits implies Polynomial Jigsaw Puzzles. This implication is unconditional: no additional assumptions, such as one-way functions, are needed. Furthermore, we show that this abstraction of Polynomial Jigsaw Puzzles is sufficient to construct iO for NC1, thus showing a near-equivalence of these notions

Delegating RAM Computations

In the setting of cloud computing a user wishes to delegate its data, as well as computations over this data, to a cloud provider. Each computation may read and modify the data, and these modifications should persist between computations. Minding the computational resources of the cloud, delegated computations are modeled as RAM programs. In particular, the delegated computations\u27 running time may be sub-linear, or even exponentially smaller than the memory size. We construct a two-message protocol for delegating RAM computations to an untrusted cloud. In our protocol, the user saves a short digest of the delegated data. For every delegated computation, the cloud returns, in addition to the computation\u27s output, the digest of the modified data, and a proof that the output and digest were computed correctly. When delegating a T-time RAM computation M with security parameter k, the cloud runs in time Poly(T,k) and the user in time Poly(|M|, log T, k). Our protocol is secure assuming super-polynomial hardness of the Learning with Error (LWE) assumption. Security holds even when the delegated computations are chosen adaptively as a function of the data and output of previous computations. We note that RAM delegation schemes are an improved variant of memory delegation schemes [Chung et al. CRYPTO 2011]. In memory delegation, computations are modeled as Turing machines, and therefore, the cloud\u27s work always grows with the size of the delegated data

Publicly Verifiable Non-Interactive Arguments for Delegating Computation

We construct publicly verifiable non-interactive arguments that can be used to delegate polynomial time computations. These computationally sound proof systems are completely non-interactive in the common reference string model. The verifier\u27s running time is nearly-linear in the input length, and poly-logarithmic in the complexity of the delegated computation. Our protocol is based on graded encoding schemes, introduced by Garg, Gentry and Halevi (Eurocrypt 2012). Security is proved under a falsifiable and arguably simple cryptographic assumption about graded encodings. All prior publicly verifiable non-interactive argument systems were based on non-falsifiable knowledge assumptions. Our new result builds on the beautiful recent work of Kalai, Raz and Rothblum (STOC 2014), who constructed privately verifiable 2-message arguments. While building on their techniques, our protocols avoid no-signaling PCPs, and we obtain a simplified and modular analysis. As a second contribution, we also construct a publicly verifiable non-interactive argument for (logspace-uniform) computations of bounded depth. The verifier\u27s complexity grows with the depth of the circuit. This second protocol is adaptively sound, and its security is based on a falsifiable assumption about the hardness of a search problem on graded encodings (a milder cryptographic assumption). This result builds on the interactive proof of Goldwasser, Kalai and Rothblum (STOC 2008), using graded encodings to construct a non-interactive version of their protocol

On Publicly Verifiable Delegation From Standard Assumptions

We construct a publicly verifiable non-interactive delegation scheme for log-space uniform bounded depth computations in the common reference string (CRS) model, where the CRS is long (as long as the time it takes to do the computation). The soundness of our scheme relies on the assumption that there exists a group with a bilinear map, such that given group elements $g,h,h^t,h^{t^2},$ it is hard to output $g^a,g^b,g^c$ and $h^a,h^b,h^c$ such that $a \cdot t^2 + b \cdot t + c = 0$, but $a,b,c$ are not all zero. Previously, such a result was only known under knowledge assumptions (or in the Random Oracle model), or under non-standard assumptions related to obfuscation or zero-testable homomorphic encryption. We obtain our result by converting the interactive delegation scheme of Goldwasser, Kalai and Rothblum (J. ACM 2015) into a publicly verifiable non-interactive one. As a stepping stone, we give a publicly verifiable non-interactive version of the sum-check protocol of Lund, Fortnow, Karloff, Nisan (J. ACM 1992)

Weak Zero-Knowledge Beyond the Black-Box Barrier

The round complexity of zero-knowledge protocols is a long-standing open question, yet to be settled under standard assumptions. So far, the question has appeared equally challenging for relaxations such as weak zero-knowledge and witness hiding. Protocols satisfying these relaxed notions under standard assumptions have at least four messages, just like full-fledged zero knowledge. The difficulty in improving round complexity stems from a fundamental barrier: none of these notions can be achieved in three messages via reductions (or simulators) that treat the verifier as a black box. We introduce a new non-black-box technique and use it to obtain the first protocols that cross this barrier under standard assumptions. Our main results are: \begin{itemize} \item Weak zero-knowledge for $NP$in two messages, assuming quasipolynomially-secure fully-homomorphic encryption and other standard primitives (known from quasipolynomial hardness of Learning with Errors), as well as subexponentially-secure one-way functions. \item Weak zero-knowledge for $NP$ in three messages under standard polynomial assumptions (following for example from fully-homomorphic encryption and factoring). \end{itemize} We also give, under polynomial assumptions, a two-message witness-hiding protocol for any language $L \in NP$ that has a witness encryption scheme. This protocol is also publicly verifiable. Our technique is based on a new {\em homomorphic trapdoor paradigm}, which can be seen as a non-black-box analog of the classic Feige-Lapidot-Shamir trapdoor paradigm

On Removing Graded Encodings from Functional Encryption

Functional encryption (FE) has emerged as an outstanding concept. By now, we know that beyond the immediate application to computation over encrypted data, variants with {\em succinct ciphertexts} are so powerful that they yield the full might of indistinguishability obfuscation (IO). Understanding how, and under which assumptions, such succinct schemes can be constructed has become a grand challenge of current research in cryptography. Whereas the first schemes were based themselves on IO, recent progress has produced constructions based on {\em constant-degree graded encodings}. Still, our comprehension of such graded encodings remains limited, as the instantiations given so far have exhibited different vulnerabilities. Our main result is that, assuming LWE, {\em black-box constructions} of {\em sufficiently succinct} FE schemes from constant-degree graded encodings can be transformed to rely on a much better-understood object --- {\em bilinear groups}. In particular, under an {\em über assumption} on bilinear groups, such constructions imply IO in the plain model. The result demonstrates that the exact level of ciphertext succinctness of FE schemes is of major importance. In particular, we draw a fine line between known FE constructions from constant-degree graded encodings, which just fall short of the required succinctness, and the holy grail of basing IO on better-understood assumptions. In the heart of our result, are new techniques for removing ideal graded encoding oracles from FE constructions. Complementing the result, for weaker ideal models, namely the generic-group model and the random-oracle model, we show a transformation from {\em collusion-resistant} FE in either of the two models directly to FE (and IO) in the plain model, without assuming bilinear groups

Verifiable Set Operations over Outsourced Databases

We study the problem of verifiable delegation of computation over outsourced data, whereby a powerful worker maintains a large data structure for a weak client in a verifiable way. Compared to the well-studied problem of verifiable computation, this setting imposes additional difficulties since the verifier needs to verify consistency of updates succinctly and without maintaining large state. In particular,existing general solutions are far from practical in this setting. We present a scheme for verifiable evaluation of hierarchical set operations (unions, intersections and set-differences) applied to a collection of dynamically changing sets of elements from a given domain. That is, we consider two types of queries issued by the client: updates (insertions and deletions) and data queries, which consist of ``circuits\u27\u27 of unions, intersections, and set-differences on the current collection of sets. This type of queries comes up in database queries, keyword search and numerous other applications, and indeed our scheme can be effectively used in such scenarios. The verification cost incurred is proportional only to the size of the final outcome set and to the size of the query, and is independent of the cardinalities of the involved sets. The cost of updates is optimal ($O(1)$ modular operations per update). Our construction extends that of [Papamanthou et al., Crypto 2011] and relies on a modified version of the \emph{extractable collision-resistant hash function} (ECRH) construction, introduced in [Bitansky et al., ITCS 2012] that can be used to succinctly hash univariate polynomials

Verifiable Private Information Retrieval

A computational PIR scheme allows a client to privately query a database hosted on a single server without downloading the entire database. We introduce the notion of verifiable PIR (vPIR) where the server can convince the client that the database satisfies certain properties without additional rounds and while keeping the communication sub-linear. For example, the server can prove that the number of rows in the database that satisfy a predicate $P$ is exactly $n$. We define security by modeling vPIR as an ideal functionality and following the real-ideal paradigm. Starting from a standard PIR scheme, we construct a vPIR scheme for any database property that can be verified by a machine that reads the database once and maintains a bounded size state between rows. We also construct vPIR with public verification based on LWE or on DLIN. The main technical hurdle is to demonstrate a simulator that extracts a long input from an adversary that sends a single short message. Our vPIR constructions are based on the notion of batch argument for NP. As contribution of independent interest, we show that batch arguments are equivalent to quasi-arguments---a relaxation of SNARKs which is known to imply succinct argument for various sub-classes of NP