In the digital age, the concept of consent for online actions executed by third parties is crucial for maintaining trust and security in third-party services. This work introduces the notion of cryptographically secure digital consent, which aims to replicate the traditional consent process in the online world. We provide a flexible digital consent solution that accommodates different use cases and ensures the integrity of the consent process. The proposed framework involves a client...

Approximate nearest neighbor search (ANNS), also known as vector search, is an important building block for varies applications, such as databases, biometrics, and machine learning. In this work, we are interested in the private ANNS problem, where the client wants to learn (and can only learn) the ANNS results without revealing the query to the server. Previous private ANNS works either suffers from high communication cost (Chen et al., USENIX Security 2020) or works under a weaker...

Monchi is a new protocol aimed at privacy-preserving biometric identification. It begins with scores computation in the encrypted domain thanks to homomorphic encryption and ends with comparisons of these scores to a given threshold with function secret sharing. We here study the integration in that context of scores computation techniques recently introduced by Bassit et al. that eliminate homomorphic multiplications by replacing them by lookup tables. First, we extend this lookup tables...

Secure sketches are designed to facilitate the recovery of originally enrolled data from inputs that may vary slightly over time. This capability is important in applications where data consistency cannot be guaranteed due to natural variations, such as in biometric systems and hardware security. Traditionally, secure sketches are constructed using error-correcting codes to handle these variations effectively. Additionally, principles of information theory ensure the security of these...

This work builds approximate proximity searchable encryption. Secure biometric databases are the primary application. Prior work (Kuzu, Islam, and Kantarcioglu, ICDE 2012) combines locality-sensitive hashes, or LSHs, (Indyk, STOC ’98), and oblivious multimaps. The multimap associates LSH outputs as keywords to biometrics as values. When the desired result set is of size at most one, we show a new preprocessing technique and system called ProxCode that inserts shares of a linear secret...

Fuzzy password authenticated key exchange (fuzzy PAKE) protocols enable two parties to securely exchange a session-key for further communication. The parties only need to share a low entropy password. The passwords do not even need to be identical, but can contain some errors. This may be due to typos, or because the passwords were created from noisy biometric readings. In this paper we provide an overview and comparison of existing fuzzy PAKE protocols. Furthermore, we analyze certain...

Biometric authentication eliminates the need for users to remember secrets and serves as a convenient mechanism for user authentication. Traditional implementations of biometric-based authentication store sensitive user biometry on the server and the server becomes an attractive target of attack and a source of large-scale unintended disclosure of biometric data. To mitigate the problem, we can resort to privacy-preserving computation and store only protected biometrics on the server. While...

In [1], two generic constructions for biometric-based non-transferable Attribute Based Credentials (biometric ABC) are presented, which offer different trade-offs between efficiency and trust assumptions. In this paper, we focus on the second scheme denoted as BioABC-ZK that tries to remove the strong (and unrealistic) trust assumption on the Reader R, and show that BioABC-ZK has a security flaw for a colluding R and Verifier V. Besides, BioABC-ZK lacks GDPR-compliance, which requires secure...

Despite decades of effort, a chasm existed between the theory and practice of device-level biometric authentication. Deployed authentication algorithms rely on data that overtly leaks private information about the biometric; thus systems rely on externalized security measures such as trusted execution environments. The authentication algorithms have no cryptographic guarantees. We close this chasm. We introduce a key derivation system with 105 bits of entropy and a 91% true accept rate...

Fuzzy extractors derive stable keys from noisy sources non-interactively (Dodis et al., SIAM Journal of Computing 2008). Since their introduction, research has focused on two tasks: 1) showing security for as many distributions as possible and 2) providing stronger security guarantees including allowing one to enroll the same value multiple times (reusability), security against an active attacker (robustness), and preventing leakage about the enrolled value (privacy). Existing constructions...

Privacy enhancing technologies must not only protect sensitive data in-transit, but also locally at-rest. For example, anonymity networks hide the sender and/or recipient of a message from network adversaries. However, if a participating device is physically captured, its owner can be pressured to give access to the stored conversations. Therefore, client software should allow the user to plausibly deny the existence of meaningful data. Since biometrics can be collected without consent and...

Computing the distance between two non-normalized vectors $\mathbfit{x}$ and $\mathbfit{y}$, represented by $\Delta(\mathbfit{x},\mathbfit{y})$ and comparing it to a predefined public threshold $\tau$ is an essential functionality used in privacy-sensitive applications such as biometric authentication, identification, machine learning algorithms ({\em e.g.,} linear regression, k-nearest neighbors, etc.), and typo-tolerant password-based authentication. Tackling a widely used distance...

In [1], Sarier presents a practical biometric-based non-transferable credential scheme that maintains the efficiency of the underlying Brands credential. In this paper, we design a new Blockchain-Based E-Voting (BBEV) scheme that combines the system of [1] with encrypted Attribute Based Credentials for a non-transferable code-voting approach to achieve efficient, usable, anonymous, transparent, auditable, verifiable, receipt-free and coercion-resistant remote voting system for small/medium...

Anonymous or attribute-based credential (ABC) systems are a versatile and important cryptographic tool to achieve strong access control guarantees while simultaneously respecting the privacy of individuals. A major problem in the practical adoption of ABCs is their transferability, i.e., such credentials can easily be duplicated, shared or lent. One way to counter this problem is to tie ABCs to biometric features of the credential holder and to require biometric verification on every use....

This work introduces Private Eyes, the first zero-leakage biometric database. The only leakage of the system is unavoidable: 1) the log of the dataset size and 2) the fact that a query occurred. Private Eyes is built from oblivious symmetric searchable encryption. Approximate proximity queries are used: given a noisy reading of a biometric, the goal is to retrieve all stored records that are close enough according to a distance metric. Private Eyes combines locality sensitive-hashing...

Fully homomorphic encryption (FHE) is an encryption method that allows to perform computation on encrypted data, without decryption. FHE preserves the privacy of the users of online services that handle sensitive data, such as health data, biometrics, credit scores and other personal information. A common way to provide a valuable service on such data is through machine learning and, at this time, Neural Networks are the dominant machine learning model for unstructured data. In this work...

We study the problem of biometric-based authentication with template confidentiality. Typical schemes addressing this problem, such as Fuzzy Vaults (FV) and Fuzzy Extractors (FE), allow a server, aka Authenticator, to store “random looking” Helper Data (HD) instead of biometric templates in clear. HD hides information about the corresponding biometric while still enabling secure biometric-based authentication. Even though these schemes reduce the risk of storing biometric data, their...

With the popularity of biometric-based identity authentication in the field of the Internet of Things, more and more attention has been paid to the privacy protection of biometric data. Gunasinghe et al. presented the PrivBioMTAuth which is the first authentication solution from mobile phones to protect user’s privacy by performing interactive zero-knowledge proof. However, PrivBioMTAuth still requires considerable storage overhead and communication overhead during the registration phase....

Reliable voter identification is one of the key requirements to guarantee eligibility and uniformity of elections. In a remote setting, this task becomes more complicated compared to voter identification at a physical polling station. In case strong cryptographic mechanisms are not available, biometrics is one of the available alternatives to consider. In this paper, we take a closer look at facial recognition as a possible remote voter identification measure. We cover technical aspects of...

Among the various authentication methods, biometrics provide good user friendliness. However, the non-renewability of biometrics leads to the problem that it might be stolen. The emergence of fuzzy extractors is a promising solution to this problem. The fuzzy extractors can extract uniformly distributed keys from various noise random sources (such as biometrics, physical unclonable functions and quantum bits). However, the research on fuzzy extractors mainly focuses on the theoretical level,...

Systems with distributed trust have attracted growing research attention and seen increasing industry adoptions. In these systems, critical secrets are distributed across N servers, and computations are performed privately using secure multi-party computation (SMPC). Authentication for these distributed-trust systems faces two challenges. The first challenge is ease-of-use. Namely, how can an authentication protocol maintain its user experience without sacrificing security? To avoid a...

This thesis addresses security and privacy problems for digital devices and biometrics, where a secret key is generated for authentication, identification, or secure computations. A physical unclonable function (PUF) is a promising solution for local security in digital devices. A low-complexity transform-coding algorithm is developed to make the information-theoretic analysis tractable and motivate a noisy (hidden) PUF source model. The optimal trade-offs between the secret-key,...

We address security and privacy problems for digital devices and biometrics from an information-theoretic optimality perspective, where a secret key is generated for authentication, identification, message encryption/decryption, or secure computations. A physical unclonable function (PUF) is a promising solution for local security in digital devices and this review gives the most relevant summary for information theorists, coding theorists, and signal processing community members who are...

The typical login protocol for authenticating a user to a web service involves the client sending a password over a TLS-secured channel to the service, occasionally deployed with the password being prehashed. This widely-deployed paradigm, while simple in nature, is prone to both inadvertent logging and eavesdropping attacks, and has repeatedly led to the exposure of passwords in plaintext. Partly to address this problem, symmetric and asymmetric PAKE protocols were developed to ensure that...

We use biometrics like fingerprints and facial images to identify ourselves to our mobile devices and log on to applications everyday. Such authentication is internal-facing: we provide measurement on the same device where the template is stored. If our personal devices could participate in external-facing authentication too, where biometric measurement is captured by a nearby external sensor, then we could also enjoy a frictionless authentication experience in a variety of physical spaces...

Biometric databases collect people’s information and allow users to perform proximity searches (finding all records within a bounded distance of the query point) with few cryptographic protections. This work studies proximity searchable encryption applied to the iris biometric. Prior work proposed inner product functional encryption as a technique to build proximity biometric databases (Kim et al., SCN 2018). This is because binary Hamming distance is computable using an inner product. This...

Password-Authenticated Key Exchange (PAKE) lets users with passwords exchange a cryptographic key. There have been two variants of PAKE which make it more applicable to real-world scenarios: - Asymmetric PAKE (aPAKE), which aims at protecting a client's password even if the authentication server is untrusted, and - Fuzzy PAKE (fPAKE), which enables key agreement even if passwords of users are noisy, but ``close enough''. Supporting fuzzy password matches eases the use of higher entropy...

While the digital technology spreads through the society, reliable personal authentication is becoming an urgent issue. As shown in digital taxation (e-Tax) and blockchain, etc., high reliable link between the private key of a public key and the owner who has it in card or smartphone etc. is required. This paper proposes 3 layer public key cryptosystem in which Individual Number (a.k.a. "My Number") and STR (Short Tandem Repeat) as personal identification data installed. "Individual Number"...

Authentication and identification methods based on human fingerprints are ubiquitous in several systems ranging from government organizations to consumer products. The performance and reliability of such systems directly rely on the volume of data on which they have been verified. Unfortunately, a large volume of fingerprint databases is not publicly available due to many privacy and security concerns. In this paper, we introduce a new approach to automatically generate high-fidelity...

We introduce Biometric-Authenticated Keyword Search (BAKS), a novel searchable encryption scheme that relieves clients from managing cryptographic keys and relies purely on client’s biometric data for authenticated outsourcing and retrieval of files indexed by encrypted keywords. BAKS utilises distributed trust across two servers and the liveness assumption which models physical presence of the client; in particular, BAKS security is guaranteed even if clients’ biometric data, which often...

Biometric authentication is increasingly being used for large scale human authentication and identification, creating the risk of leaking the biometric secrets of millions of users in the case of database compromise. Powerful ``fuzzy'' cryptographic techniques for biometric template protection, such as secure sketches, could help in principle, but go unused in practice. This is because they would require new biometric matching algorithms with potentially much-diminished accuracy. We...

In this paper, we introduce a new construction of lattice-based reusable fuzzy signature for remote user authentication that is secure against quantum computers. We define formal security models for the proposed construction, and we prove that it can achieve user authenticity, biometrics reusability and user privacy. In particular, the proposed new construction ensures that: 1) biometrics reusability is achieved such that fuzzy signatures remain secure even when the same biometrics is reused...

In recent years, there has been enormous research attention in privacy-preserving biometric authentication, which enables a user to verify him or herself to a server without disclosing raw biometric information. Since biometrics is irrevocable when exposed, it is very important to protect its privacy. In IEEE TIFS 2018, Zhou and Ren proposed a privacy-preserving user-centric biometric authentication scheme named PassBio, where the end-users encrypt their own templates, and the authentication...

Fuzzy extractors transform a noisy source e into a stable key which can be reproduced from a nearby value e′. They are a fundamental tool for key derivation from biometric sources. This work introduces code offset in the exponent and uses this construction to build the first reusable fuzzy extractor that simultaneously supports structured, low entropy distributions with correlated symbols and confidence information. These properties are specifically motivated by the most pertinent...

Secure sketch produces public information of its input $w$ without revealing it, yet, allows the exact recovery of $w$ given another value $w'$ that is close to $w$. Therefore, it can be used to reliably reproduce any error-prone a secret sources (i.e., biometrics) stored in secret storage. However, some sources have lower entropy compared to the error itself, formally called ``more error than entropy", a standard secure sketch cannot show its security promise perfectly to these kind of...

After the concept of a Fuzzy Extractor (FE) was rst introduced by Dodis et al. , it has been regarded as one of the candidate solutions for key management utilizing biometric data. With a noisy input such as biometrics, FE generates a public helper value and a random secret key which is reproducible given another input similar to the original input. However, "helper values" may cause some leakage of information when generated repeatedly by correlated inputs, thus reusability should be...

This paper introduces a secure and privacy-preserving mechanism for biometric-based user authentication in a distributed manner. The design combines three modalities (face, iris and fingerprint) according to user’s performance strength parameters (False Acceptance and False Rejection Rates). We use a user-specific weighted score level fusion strategy to determine the final multimodal result. The stored unimodal templates are held by distinct database providers that can be malicious. Privacy...

Biometrics exhibit noise between repeated readings. Due to the noise, devices store a plaintext template of the biometric. This stored template is an appetizing target for an attacker. Due to this risk, the primary use case for biometrics is mobile device authentication (templates are stored within the mobile device’s secure processor). There has been little adoption in client-server applications. Fuzzy extractors derive a stable cryptographic key from biometrics (Dodis et al., Eurocrypt...

Consider key agreement by two parties who start out knowing a common secret (which we refer to as “pass-string”, a generalization of “password”), but face two complications: (1) the pass-string may come from a low-entropy distribution, and (2) the two parties’ copies of the pass-string may have some noise, and thus not match exactly. We provide the first efficient and general solutions to this problem that enable, for example, key agreement based on commonly used biometrics such as iris...

A fuzzy extractor (FE), proposed for deriving cryptographic keys from biometric data, enables reproducible generation of high-quality randomness from noisy inputs having sufficient min-entropy. FEs rely in their operation on a public "helper string" that is guaranteed not to leak too much information about the original input. Unfortunately, this guarantee may not hold when multiple independent helper strings are generated from correlated inputs as would occur if a user registers their...

The impressive amount of recent technological advancements in the area of information systems have brought along, besides the multitude of positive aspects, some negative aspects too. The most obvious one is represented by the fact that the technological innovations are prone to various categories of threats. Making sure that information stays safe, unaltered and secret is an integral part of providing technology that behaves in the manner it is supposed to. Along with researching techniques...

Passwords bootstrap symmetric and asymmetric cryptography, tying keys to an individual user. Biometrics are intended to strengthen this tie. Unfortunately, biometrics exhibit noise between repeated readings. Fuzzy extractors (Dodis et al., Eurocrypt 2004) derive stable symmetric keys from noisy sources. We ask if it is also possible for noisy sources to directly replace private keys in asymmetric cryptosystems. We propose a new primitive called public-key cryptosystems with noisy keys. Such...

Biometric authentication methods are gaining popularity due to their convenience. For an authentication without relying on trusted hardwares, biometrics or their hashed values should be stored in the server. Storing biometrics in the clear or in an encrypted form, however, raises a grave concern about biometric theft through hacking or man-in-the middle attack. Unlike ID and password, once lost biometrics cannot practically be replaced. Encryption can be a tool for protecting them from...

Helper Data Systems are a cryptographic primitive that allows for the reproducible extraction of secrets from noisy measurements. Redundancy data called Helper Data makes it possible to do error correction while leaking little or nothing ("Zero Leakage") about the extracted secret string. We study the case of non-discrete measurement outcomes. In this case a quantization step is required. Recently de Groot et al described a generic method to perform the quantization in a Zero Leakage manner....

Face recognition is one of the most important biometrics pattern recognitions, which has been widely applied in a variety of enterprise, civilian and law enforcement. The privacy of biometrics data raises important concerns, in particular if computations over biometric data is performed at untrusted servers. In previous work of privacy-preserving face recognition, in order to protect individuals' privacy, face recognition is performed over encrypted face images. However, these results...

Authentication plays an important role in an open network environment in order to authenticate two communication parties among each other. Authentication protocols should protect the sensitive information against a malicious adversary by providing a variety of services, such as authentication, user credentials' privacy, user revocation and re-registration, when the smart card is lost/stolen or the private key of a user or a server is revealed. Unfortunately, most of the existing multi-server...

In 2013, Althobaiti et al. proposed an efficient biometric-based user authentication scheme for wireless sensor networks. We analyze their scheme for the security against known attacks. Though their scheme is efficient in computation, in this paper we show that their scheme has some security pitfalls such as (1) it is not resilient against node capture attack, (2) it is insecure against impersonation attack and (3) it is insecure against man-in-the-middle attack. Finally, we give some...

A three-factor authentication combines biometrics information with user password and smart card to provide security-enhanced user authentication. An proposed user authentication scheme improved Das’s scheme. But An’s scheme is not secure against denial of service attack in login phase, forgery attack. Li et al. pointed out them and proposed three-factor remote user authentication scheme with key agreement. However, Li et al’s scheme still has some security problem. In this paper, we present...

Chuang and Chen propose an anonymous multi server authenticated key agreement scheme based on trust computing using smart card, password, and biometrics. Chuang and Chen say that this scheme not only supports multi-server but also achieves security requirements. but this scheme is vulnerable to masquerade attack, smart card attack, DoS attack and insufficient for perfect forward secrecy. To solve problems, this paper proposes security enhanced anonymous multi server authenticated key...

Physical authentication brings extra security to software authentication by adding real-world input to conventional authentication protocols. Existing solutions such as textual and graphical passwords are subject to brute force and shoulder surfing attacks, while users are reluctant to use biometrics for identification, due to its intrusiveness. This paper uses Hamiltonian tokens as authentication means. The proposed token structure offers many possible configurations ({\sl i.e.}, passwords)...

A Helper Data Scheme (HDS) is a cryptographic primitive that extracts a high-entropy noise-free string from noisy data. Helper Data Schemes are used for preserving privacy in biometric databases and for Physical Unclonable Functions. HDSs are known for the guided quantization of continuous-valued biometrics as well as for repairing errors in discrete-valued (digitized) extracted values. We refine the theory of Helper Data Schemes with the Zero Leakage (ZL) property, i.e., the mutual...

We study the problem of ``privacy amplification'': key agreement between two parties who both know a weak secret w, such as a password. (Such a setting is ubiquitous on the internet, where passwords are the most commonly used security device.) We assume that the key agreement protocol is taking place in the presence of an active computationally unbounded adversary Eve. The adversary may have partial knowledge about w, so we assume only that w has some entropy from Eve's point of view. Thus,...

Wireless sensor networks (WSNs) are applied widely a variety of areas such as real-time traffic monitoring, measurement of seismic activity, wildlife monitoring and so on. User authentication in WSNs is a critical security issue due to their unattended and hostile deployment in the field. In 2010, Yuan et al. proposed the first biometric-based user authentication scheme for WSNs. However, Yoon et al. pointed out that Yuan et al.’s scheme is vulnerable to the insider attack, user...

This paper shows several security weaknesses of a Multi-Factor Authenticated Key Exchange (MK-AKE) protocol, proposed by Pointcheval and Zimmer at ACNS'08. The Pointcheval-Zimmer scheme was designed to combine three authentication factors in one system, including a password, a secure token (that stores a private key) and biometrics. In a formal model, Pointcheval and Zimmer formally proved that an attacker had to break all three factors to win. However, the formal model only considers the...

Authentication and key exchange are fundamental techniques for enabling secure communication over mobile networks. In order to reduce implementation complexity and achieve computation efficiency, design issues for efficient and secure biometrics-based remote user authentication scheme have been extensively investigated by research community in these years. Recently, two well-designed biometrics-based authentication schemes using smart cards are introduced by Li and Hwang and Li et al.,...

Today biometric data propagate more heavily into our lives. With more ubiquitous use of such data, computations over biometrics become more prevalent as well. While it is well understood that privacy of biometric data must be protected, often computations over biometric data involve untrusted participants or servers, let it be a cross check between different agencies who are not permitted to share the data or a researcher testing a new biometric matching algorithm on a large scale that...

In 2010, Yoon et al. proposed a robust biometrics- based multi-server authentication with key agreement scheme for smart cards on elliptic curve cryptosystem. In this letter, however, we show that Yoon et al.’s scheme is vulnerable to off-line password guessing attack and propose an improved scheme to prevent the attack.

Recently, Yoon et al. proposed an efficient biometrics-based multi-server authentication with key agreement scheme for smart cards on elliptic curve cryptosystem (ECC) for multi-server communication environments [E.-J. Yoon, K.-Y. Yoo(2011) Robust biometrics-based multi-server authentication with key agreement scheme for smart cards on elliptic curve cryptosystem, Journal of Supercomputing, DOI: 10.1007/s11227-010-0512-1]. They claimed their scheme could withstand various attacks. In the...

In this paper, we present a new secret sharing scheme, referred to as KSS(I) on the basis of systematic Reed-Solomon code[2]. We show that KSS(I) can be successfully applied to biometrics.

ePassports are biometric identification documents that contain RFID Tags and are primarily used for border security. The embedded RFID Tags are capable of storing data, performing low cost computations and cryptography, and communicating wirelessly. Since 2004, we have witnessed the development and widespread deployment of three generations of electronic passports - The ICAO First Generation ePassport (2004), Extended Access Control (EAC v1.0) ePassports (2006), and Extended Access Control...

Extraction of uniform randomness from (noisy) non-uniform sources is an important primitive in many security applications, e.g. (pseudo-)random number generators, privacy-preserving biometrics, and key storage based on Physical Unclonable Functions. Generic extraction methods exist, using universal hash functions. There is a trade-off between the length of the extracted bit string and the uniformity of the string. In the literature there are proven lower bounds on this length as a function...

Abstract: We study the problem of Key Exchange (KE), where authentication is two-factor and based on both electronically stored long keys and human-supplied credentials (passwords or biometrics). The latter credential has low entropy and may be adversarily mistyped. Our main contribution is the first formal treatment of mistyping in this setting. Ensuring security in presence of mistyping is subtle. We show mistyping-related limitations of previous KE definitions and constructions. We...

At EUROCRYPT 2005, Sahai and Waters presented the Fuzzy Identity Based Encryption (Fuzzy-IBE) which could be used for biometrics and attribute-based encryption in the selective-identity model. When a secure Fuzzy-IBE scheme in the selective-identity model is transformed to full identity model it exist an exponential loss of security. In this paper, we use the CPA secure Gentry's IBE (exponent inversion IBE) to construct the first Fuzzy IBE that is fully secure without random oracles. In...

Consider an abstract storage device $\Sigma(\G)$ that can hold a single element $x$ from a fixed, publicly known finite group $\G$. Storage is private in the sense that an adversary does not have read access to $\Sigma(\G)$ at all. However, $\Sigma(\G)$ is non-robust in the sense that the adversary can modify its contents by adding some offset $\Delta \in \G$. Due to the privacy of the storage device, the value $\Delta$ can only depend on an adversary's {\em a priori} knowledge of $x$. We...

In this paper a new efficient public key cryptosystem usable for both encryption and digital signatures is presented. Due to its simple structure this public key cipher can be implemented easily in every software or hardware device, making the cryptosystem available for circumstances where the implementation of an alternative like RSA, El Gamal / Diffie - Hellmann, etc. is too complicated. Furthermore the construction on the closest and shortest vector problem using a new homomorph...

In real life, one requires signatures to be from people who fulfill certain criteria, implying that they should possess specific attributes. For example, Alice might want a signature from an employee in Bob’s company who is a member in the IT staff, a senior manager within the biometrics team or at least a junior manager in the cryptography team. In such a case an Attribute Based Group Signature scheme (ABGS) could be applied. Group signature schemes are those where each member of a group...

It is well understood that passwords must be very long and complex to have sufficient entropy for security purposes. Unfortunately, these passwords tend to be hard to memorize, and so alternatives are sought. Smart Cards, Biometrics, and Reverse Turing Tests (human-only solvable puzzles) are options, but another option is to use pass-phrases. This paper explores methods for making pass-phrases suitable for use with password-based authentication and key-exchange (PAKE) protocols, and in...

Within the next year, travelers from dozens of nations may be carrying a new form of passport in response to a mandate by the United States government. The e-passport, as it is sometimes called, represents a bold initiative in the deployment of two new technologies: Radio-Frequency Identification (RFID) and biometrics. Important in their own right, e-passports are also the harbinger of a wave of next-generation ID cards: several national governments plan to deploy identity cards integrating...

This paper explores the idea of partially exposing sections of the private key in public-key cryptosystems whose security is based on the intractability of factorising large integers. It is proposed to allow significant portions of the private key to be publicly available, reducing the amount of data which must be securely hidden. The ``secret'' data could be XORed with an individual's biometric reading in order to maintain a high level of security, and we suggest using iris templates for...

We show that a number of recent definitions and constructions of fuzzy extractors are not adequate for multiple uses of the same fuzzy secret---a major shortcoming in the case of biometric applications. We propose two particularly stringent security models that specifically address the case of fuzzy secret reuse, respectively from an outsider and an insider perspective, in what we call a chosen perturbation attack. We characterize the conditions that fuzzy extractors need to satisfy to be...

We describe an identity based signature scheme that uses biometric information to construct the public key. Such a scheme would be beneficial in a legal dispute over whether a contract had been signed or not by a user. A biometric reading provided by the alleged signer would be enough to verify the signature. We make use of Fuzzy extractors to generate a key string from a biometric measurement. We use this biometric based key string and an elliptic curve point embedding technique to create...

We provide formal definitions and efficient secure techniques for -- turning noisy information into keys usable for any cryptographic application, and, in particular, -- reliably and securely authenticating biometric data. Our techniques apply not just to biometric information, but to any keying material that, unlike traditional cryptographic keys, is (1) not reproducible precisely and (2) not distributed uniformly. We propose two primitives: a fuzzy extractor reliably extracts nearly...