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Identity-based encryption

Identity-based encryption (IBE) is a form of public-key in which a user's public key is an arbitrary string derived from their , such as an or name, thereby eliminating the need for and digital certificates. Introduced by in within the broader framework of identity-based cryptosystems, IBE aims to simplify by allowing directly using the recipient's information. The concept relies on a trusted authority known as the Private Key Generator (), which computes and distributes private keys corresponding to user identities while maintaining a master secret key. The first practical and fully functional IBE scheme, achieving chosen-ciphertext security in the model, was proposed by and Matthew Franklin in 2001, building on bilinear pairings from and assuming the hardness of a variant of the computational Diffie-Hellman problem. An IBE scheme operates through four core algorithms: Setup, which initializes public parameters and the PKG's master key; KeyGen (or Extract), which generates a private key from a user's identity string; Encrypt, which produces a using the recipient's identity and system parameters; and Decrypt, which recovers the using the corresponding private key. This structure enables efficient encryption without prior , though it introduces challenges like , where the PKG can potentially decrypt any message, often addressed via threshold schemes distributing trust among multiple parties. IBE has significant applications in automated for systems, secure group communications, and services, reducing administrative overhead compared to traditional public-key systems. It has spurred advancements in related primitives, including hierarchical IBE for delegated and attribute-based for fine-grained . Ongoing research emphasizes post-quantum variants resistant to quantum attacks, with schemes based on problems and other hardness assumptions emerging to ensure long-term security.

Introduction

Definition and Core Concepts

Identity-based encryption (IBE) is a variant of public-key in which the public key for a user is an arbitrary string derived from the user's identity, such as an , name, or , rather than a randomly generated value. This approach eliminates the need for users to generate and distribute their own public keys, simplifying key management in cryptographic systems. The concept was first proposed by in 1984 as a way to facilitate without traditional infrastructures. Central to IBE is the Private Key Generator (PKG), a trusted responsible for initializing the system and issuing private s to users. The PKG performs a setup to generate global public parameters and a master secret key, which remains private to it. Upon a user's request, authenticated via their , the PKG uses the master key to extract and provide a corresponding private decryption key. In the basic workflow, a sender encrypts a solely using the recipient's string and the public parameters, producing a . The recipient then obtains their private key from the PKG and uses it to decrypt the , ensuring secure delivery without prior . Unlike standard public-key encryption (PKE), where users independently generate key pairs and public keys are certified through a (PKI), IBE derives public keys directly from identities, centralizing key generation at the and introducing inherent . The core algorithms of an IBE scheme operate abstractly as follows: Setup produces the public parameters and master key; Extract generates a private key from an using the master key; Encrypt creates a from a message and identity; and Decrypt recovers the message from a using the private key, maintaining consistency such that decryption inverts encryption correctly. This structure supports intuitive encryption based on human-readable identifiers while relying on the PKG's trustworthiness for security.

Historical Development

The concept of identity-based encryption (IBE) was first proposed by in 1984 during his presentation at the conference, where he introduced the idea of using a user's as its public key to simplify key management in , though he provided a full construction only for identity-based signatures and left encryption as an . This open challenge remained unresolved for over a decade until 2001, when two independent constructions realized fully functional IBE schemes: the Boneh-Franklin scheme, which relied on bilinear pairings over elliptic curves for efficiency, and the Cocks scheme, which used quadratic residues modulo a for a pairing-free alternative. In 2002, Horwitz and Lynn extended the Boneh-Franklin framework to propose hierarchical IBE (HIBE), allowing key delegation across multiple levels of a to support scalable without requiring a fully trusted central authority. The mid-2000s saw further innovations building on these foundations, including the introduction of fuzzy IBE by Sahai and Waters in , which tolerated partial matches in identities to enable applications like biometric , and its generalization to attribute-based encryption (ABE) that allowed fine-grained access policies based on attributes rather than single identities. Entering the 2010s, research shifted toward post-quantum security amid growing concerns over threats, with lattice-based IBE emerging around 2008 through , Peikert, and Vaikuntanathan's work on functions that enabled the first such schemes in the model, followed by , Boneh, and Boyen's 2010 construction achieving security in the . This momentum accelerated after 2015, driven by the National Institute of Standards and Technology's (NIST) initiation of standardization efforts in 2016, which prioritized lattice-based primitives like (LWE) for their quantum resistance. In the 2020s, developments have focused on enhancing practicality for real-world deployment, including efficient revocable lattice-based IBE schemes; for instance, a 2024 LWE-based online/offline IBE construction reduced online computation overhead by up to 80% through precomputation. Additionally, IBE has been integrated with technologies for privacy-preserving applications, such as secure in decentralized systems to prevent while maintaining .
YearMilestoneKey ContributorsReference
1984Proposal of IBE concept (signatures only)CRYPTO 1984
2001First full IBE using bilinear pairingsBoneh, FranklinCRYPTO 2001
2001First full IBE using quadratic residuesIMA 2001
2002Introduction of hierarchical IBE (HIBE)Horwitz, LynnEurocrypt 2002
2005Fuzzy IBE and path to ABESahai, WatersEurocrypt 2005
2008First lattice-based IBE (random oracle model)Gentry, Peikert, VaikuntanathanSTOC 2008
2010Lattice-based IBE in Agrawal, Boneh, BoyenEurocrypt 2010
2016NIST post-quantum standardization begins, boosting lattice IBENISTNIST PQC
2024Efficient LWE-based online/offline IBEZuo et al.Information 2024

Applications and Comparisons

Practical Usage

Identity-based encryption (IBE) has found practical application in email systems, where it enables encryption directly to a recipient's identity, such as an like [email protected], eliminating the need for distribution and management. This approach simplifies by allowing senders to use the recipient's as the public key, with private keys generated by a trusted authority. Voltage Security, now part of , pioneered commercial IBE products in the early 2000s, including Voltage SecureMail, which powered for enterprises and was validated under NIST's Cryptographic Algorithm Validation Program for integration into applications. In (IoT) environments, IBE facilitates secure messaging by leveraging device identities, such as unique IDs or MAC addresses, as public keys for between constrained devices. This reduces overhead in resource-limited settings, enabling lightweight authentication and data protection without traditional (PKI) complexities. For instance, IBE schemes have been implemented to secure communications among IoT objects, supporting scalable deployment in networks with thousands of devices. For cloud storage access control, IBE supports time-bound identities by incorporating expiration parameters into user identities, allowing encrypted data to be accessible only within specified periods without re-encryption. This is particularly useful for temporary sharing, where revocation mechanisms ensure keys expire automatically, enhancing in shared environments. Revocable IBE variants enable fine-grained control, such as outsourcing revocation computations to servers to minimize the private key generator's (PKG) workload. In e-health and applications, IBE enables secure patient by encrypting records to healthcare provider identities, bypassing PKI for decentralized systems. Recent revocable IBE schemes, developed around 2025, integrate with for electronic health records in Internet of Medicine Things (IoMT), allowing patient-controlled access and efficient revocation without central authorities. These pilots, inspired by NIST's efforts, explore lattice-based IBE for quantum-resistant in smart healthcare. Additionally, as of July 2025, the Internet Computer platform integrated IBE via its vetKeys feature, allowing encryption to identities like principals or addresses for secure decentralized applications. Practical key management in IBE relies on secure channels for delivering private keys from the to users, often via methods like secure or hardware tokens to prevent . Outsourcing operations, such as and , to providers reduces computational burden on the central authority while maintaining security through verifiable computations, as demonstrated in cloud-integrated IBE deployments. Compared to traditional PKI, this simplifies deployment by avoiding lifecycle .

Comparison with Traditional PKI

Traditional public-key infrastructure (PKI) relies on a hierarchical where users generate asymmetric key pairs, and certificate authorities () issue digital to bind public keys to verified identities, ensuring and enabling trust. This setup necessitates ongoing management of , including issuance, distribution via directories, and validation through protocols like the (OCSP) or Certificate Revocation Lists (CRLs) to handle compromised keys. occurs through certificate repositories, while involves publishing lists or querying in real-time, which can impose significant computational and network overhead as the number of users grows. In contrast, identity-based encryption (IBE) eliminates the need for certificates by deriving public keys directly from identities, such as addresses, allowing encryption without or directory lookups. A private key generator (), analogous to a but centralized, authenticates and extracts corresponding private keys upon request, shifting from decentralized responsibility to a trusted authority. This introduces , where the holds the master secret and can potentially decrypt any , unlike traditional PKI's . Scalability in IBE improves by removing issuance and steps, reducing administrative overhead for large systems; however, it centralizes in the , creating a or compromise risk not present in PKI's distributed . For , PKI employs CRLs—periodically updated lists of invalid certificates—or OCSP queries for on-demand status checks, both scaling linearly with user base and requiring sender-side . IBE mechanisms differ, often incorporating time-based identities (e.g., appending expiration dates) for natural key expiry or hierarchical IBE (HIBE) for delegated without full reissuance; advanced schemes use broadcast encryption or structures to update keys logarithmically for non-revoked users. Hybrid approaches integrate IBE with traditional PKI to mitigate weaknesses, such as using PKI for high-level anchors and IBE for user-level to ease during transitions, or certificate-based schemes that combine explicit with identity-derived keys. These hybrids preserve PKI's while leveraging IBE's simplicity, though they introduce compatibility challenges in key binding and synchronization.
AspectTraditional PKIIdentity-Based Encryption (IBE)
Key GenerationUsers generate pairs; CA issues certificates after verification.PKG generates private keys from identities after authentication; no user generation needed.
Key DistributionCertificates published in directories; recipients validate via chains/CRLs.Private keys delivered securely to users; public keys are identities (no distribution).
RevocationCRLs (periodic lists) or OCSP (real-time queries); sender checks status.Time-based identities, HIBE delegation, or tree-based updates; PKG manages without sender checks.

Technical Framework

Protocol Components

An identity-based encryption (IBE) scheme is defined by four core algorithms that enable the use of arbitrary strings as public keys while ensuring secure key delegation by a trusted authority known as the Private Key Generator (PKG). These algorithms—Setup, Extract, Encrypt, and Decrypt—form the operational backbone of any IBE system, allowing users to encrypt messages to identities without prior key exchange. The design ensures that private keys are efficiently derivable from identities and the PKG's master secret, maintaining compatibility with standard public-key primitives. Setup algorithm. This algorithm is run once by the PKG to initialize the IBE system. It takes a security parameter k as input and generates public parameters (params), which include cryptographic group descriptions (e.g., elliptic curve parameters, bilinear maps), hash functions tailored to the scheme (such as mappings from identities to group elements), and a public master key derived from a randomly chosen secret. It also outputs a master secret key (msk), which remains private to the PKG and enables private key generation for all users. The process ensures the parameters are consistent across all subsequent operations. Computationally, the setup runs in time polynomial in k, typically involving a constant number of group element generations and hash initializations, making it efficient for system deployment. Extract algorithm. Executed by the upon user request, this algorithm derives a user-specific private key from an identity string (e.g., an ). It takes as inputs the public parameters, the secret key, and the identity , then outputs a private key d_{\text{ID}} that mathematically binds to . The often involves hashing to a point in the cryptographic group and it by the secret, ensuring and under the scheme's assumptions. Users receive d_{\text{ID}} securely, typically offline, eliminating the need for certificate management. In terms of efficiency, extraction requires a constant number of group operations, such as one , computable in O(\log^3 p) time for p-bit in pairing-based constructions, supporting thousands of keys per second on standard . Encrypt algorithm. Performed by the sender, this encrypts a message M intended for recipient ID. It takes the public parameters, ID, and M as inputs, then produces a C that can be sent over an insecure . The encryption leverages the public parameters and a of ID to create a without requiring the recipient's private , often using techniques analogous to adapted for identities. The output is typically compact, consisting of a few group elements and message components. Efficiency-wise, encryption involves a constant number of group exponentiations and evaluations, also in O(\log^3 p) time, enabling high-throughput message protection comparable to traditional -key schemes. Decrypt algorithm. Run by the recipient, this deterministic algorithm recovers the plaintext from a ciphertext. It takes the public parameters, the ciphertext C, and the recipient's private key d_{\text{ID}} as inputs, then outputs the message M. The decryption computes pairings or maps involving d_{\text{ID}} to invert the encryption process, verifying the identity binding implicitly. Like encryption, it requires a constant number of group operations, achieving O(\log^3 p) time complexity and supporting decryption rates suitable for real-time applications. The IBE protocol satisfies a correctness , ensuring reliable under valid keys. Formally, for all security parameters k, identities ID, M, public parameters params generated by Setup, and private keys d_{\text{ID}} from Extract, \text{Decrypt}(\text{params}, \text{Encrypt}(\text{params}, \text{ID}, M), d_{\text{ID}}) = M This property holds probabilistically over the in , guaranteeing identical for legitimate decryptions. Proofs of correctness follow directly from the algebraic properties of the underlying groups and functions in specific constructions. Overall, these components achieve IND-CPA security under standard assumptions like the bilinear Diffie-Hellman problem, with efficiencies scaling well for practical deployments.

Security Models and Properties

The security of identity-based encryption (IBE) schemes is typically analyzed through formal models that capture adversaries' capabilities in extracting information from ciphertexts while interacting with the system. The standard security notion is indistinguishability under chosen-identity and chosen-plaintext attack (IND-ID-CPA), which ensures that an adversary cannot distinguish between encryptions of two equal-length messages for a target identity, even after adaptively querying the private key generator (PKG) for private keys of other identities and obtaining encryptions under chosen plaintexts. In this model, the adversary does not receive the private key for the challenge identity, but the PKG's master secret allows it to potentially decrypt any ciphertext, introducing a key escrow property inherent to IBE where the PKG acts as an escrow agent capable of recovering all users' private keys and thus decrypting any message in the system. The IND-ID-CPA security game is formally defined as a two-phase interaction between a and an adversary \mathcal{A}. In the setup phase, the runs the IBE algorithm to produce system parameters and the PKG's master secret. The adversary then performs an adaptive phase, submitting queries for private keys corresponding to chosen identities (except the challenge one) and requesting encryptions of chosen plaintexts under any identities. In the phase, \mathcal{A} selects a target identity ID^* (for which it has not queried the private key), two equal-length messages m_0, m_1, and a bit b; the encrypts m_b under ID^* and sends the to \mathcal{A}. Finally, in a guess phase, \mathcal{A} outputs a guess b' for b, succeeding if b' = b with non-negligible advantage over $1/2. Security requires this advantage to be negligible in the security parameter. Provable security for IBE schemes is established via reductions to well-studied computational assumptions. Pairing-based constructions, such as the seminal Boneh-Franklin , achieve IND-ID-CPA in the random oracle model under the bilinear Diffie-Hellman (BDH) assumption, where the reduction shows that any adversary breaking the IBE implies an solving BDH instances with advantage related to the adversary's success probability. Lattice-based IBE variants, designed for post-quantum , reduce to the (LWE) assumption or variants like inhomogeneous small integer solution (ISIS), ensuring IND-ID-CPA without relying on pairings. These reductions typically involve simulators embedding the assumption's challenge into the IBE setup, answering queries consistently while bounding the adversary's advantage. Additional properties in IBE include collusion resistance in hierarchical extensions, where lower-level keys cannot be combined to forge higher-level master secrets, providing partial or total depending on the depth. When extended to identity-based signatures, schemes achieve unforgeability under chosen-message attacks, often reduced to assumptions like computational Diffie-Hellman. Regarding quantum resistance, classical pairing-based IBE schemes are vulnerable to on quantum computers, as they rely on problems over elliptic curves, whereas lattice-based variants offer security against quantum attacks due to the hardness of LWE even for quantum adversaries.

Specific Schemes

Pairing-Based Schemes

Pairing-based identity-based encryption (IBE) schemes leverage bilinear s on s to enable efficient and decryption tied to user identities. A bilinear pairing is a e: \mathbb{G}_1 \times \mathbb{G}_1 \to \mathbb{G}_T, where \mathbb{G}_1 and \mathbb{G}_T are multiplicative groups of prime order q, typically constructed from elliptic curve points and a extension. The pairing satisfies three key properties: bilinearity, e(aP, bQ) = e(P, Q)^{ab} for P, Q \in \mathbb{G}_1 and a, b \in \mathbb{Z}_q; non-degeneracy, ensuring e(P, P) generates \mathbb{G}_T when P generates \mathbb{G}_1 ; and computability, allowing efficient evaluation. These properties facilitate the delegation of trust from certificate authorities to a private key generator (PKG) by embedding the master secret into pairing computations. The seminal pairing-based IBE scheme, proposed by Boneh and Franklin in , operates in the full identity model and supports messages in \mathbb{G}_T. In the Setup algorithm, given security parameter k, a bilinear group generator produces \mathbb{G}_1, \mathbb{G}_T, e, and q; a generator P \in \mathbb{G}_1 is selected, along with a random master secret s \in \mathbb{Z}_q^*, yielding public parameters including P_{pub} = sP and a H_1: \{0,1\}^* \to \mathbb{G}_1^*. The Extract algorithm, run by the for ID \in \{0,1\}^*, computes Q_{ID} = H_1(ID) and outputs the private key d_{ID} = s Q_{ID}. For Encrypt, given message M \in \mathbb{G}_T and ID, select random r \in \mathbb{Z}_q^*; the ciphertext is C = \langle rP, M \cdot e(Q_{ID}, P_{pub})^r \rangle. Decryption with C = \langle U, V \rangle and d_{ID} recovers M = V / e(d_{ID}, U), as e(d_{ID}, U) = e(s Q_{ID}, r P) = e(Q_{ID}, P_{pub})^r. This scheme achieves against chosen-plaintext attacks in the model, with a to the bilinear Diffie-Hellman (BDH) : given P, aP, bP, cP \in \mathbb{G}_1, computing e(P, P)^{abc} \in \mathbb{G}_T is hard. Efficiency is notable, with encryption and decryption each requiring a constant number of operations—specifically, one computation per operation—making it practical for deployment on elliptic curves like supersingular curves over finite fields. Variants address limitations of the original scheme, such as reliance on the model. Waters' 2005 construction provides the first efficient pairing-based IBE secure in the without , achieving chosen-plaintext security under the decisional BDH assumption. It modifies to use hashed identity components in the exponents, with setup producing public elements like g, g_1 = g^\alpha, g_2, and a vector of random group elements for bits; extraction yields a pair incorporating the master secret and a blinding factor, while encryption and decryption involve adjusted pairing checks for correctness. This improvement enhances provable security while maintaining comparable efficiency to the Boneh-Franklin scheme.

Quadratic Residue-Based Schemes

Quadratic residue-based identity-based encryption (IBE) schemes rely on the quadratic residuosity assumption, which states that given a composite modulus N = pq where p and q are distinct primes both congruent to 3 modulo 4 (a Blum integer), it is computationally infeasible to determine whether a given element x \in \mathbb{Z}_N^* is a quadratic residue modulo N without knowledge of the prime factors p and q. This assumption is believed to be as hard as the problem. The seminal scheme in this category is the one proposed by in , which provides a pairing-free construction for IBE using number-theoretic assumptions related to quadratic residues. In the setup phase, the private key generator (PKG) selects two large primes P and Q with P, Q \equiv 3 \pmod{4}, computes the modulus N = P \cdot Q, and publishes the public parameters consisting of N and suitable hash functions (modeled as random oracles). The master secret key is the factorization \langle P, Q \rangle, which remains private. User identities are treated as strings and hashed via a function H to elements a = H(\text{ID}) \in \mathbb{Z}_N^* such that the Jacobi symbol (a/N) = +1. For key generation, upon request for identity ID, the PKG computes a = H(\text{ID}) \mod N and derives a private key r satisfying either r^2 \equiv a \pmod{N} or r^2 \equiv -a \pmod{N}, using the master secret to efficiently find such a square root via the formula r = a^{(N+5-(P+Q))/8} \mod N. The choice of sign (type of root) is fixed for the identity, and the PKG provides r to the user as their private key. Encryption proceeds bit by bit, encoding each message bit m \in \{0,1\} as x = (-1)^m \in \{-1, +1\}. To encrypt x under ID, the sender selects a random t \in \mathbb{Z}_N^* such that the Jacobi symbol (t/N) = x, computes the inverse t^{-1} \mod N, and forms the ciphertext component c_1 = t + a \cdot t^{-1} \pmod{N}. If the root type for the recipient's key is unknown to the sender, a second component c_2 = t - a \cdot t^{-1} \pmod{N} is included to allow disambiguation. Decryption uses the private key r: assuming the root type is such that r^2 \equiv a \pmod{N}, the recipient computes s = c_1 + 2r \pmod{N} (or s = c_1 - 2r \pmod{N} for the other type) and evaluates the (s/N), which equals x due to the canceling non-residue terms while preserving the symbol of t. The recipient can then recover the bit m from x. If both ciphertext components are provided, the correct s is selected by checking which yields a consistent . This process leverages the to compute square roots efficiently during key generation but requires only computations during decryption. Despite its theoretical significance as the first non-pairing-based IBE, the Cocks suffers from significant practical limitations, primarily due to its bit-by-bit mechanism. Each message bit requires a full modulus-sized component (approximately \log_2 N bits), and including the second component doubles this overhead, resulting in a expansion factor of up to 2 for short messages. For a 128-bit symmetric encrypted with a 1024-bit N, the size approaches 16 , rendering it inefficient for longer messages without use (e.g., encrypting only a ). The is proven secure against chosen-plaintext attacks in the identity-based setting under the residuosity in the model, but its bandwidth inefficiency has limited adoption compared to more practical pairing-based alternatives.

Lattice-Based and Post-Quantum Schemes

Lattice-based and post-quantum identity-based encryption (IBE) schemes draw their security from the computational hardness of lattice problems, including the Learning With Errors (LWE) problem, the Short Integer Solution (SIS) problem, and the NTRU problem. The LWE problem posits that, given random vectors a_i \in \mathbb{Z}_q^n and scalars b_i = \langle a_i, s \rangle + e_i \pmod{q} for secret s and small error e_i, it is hard to recover s or distinguish from uniform random pairs. SIS requires finding short vectors x \in \mathbb{Z}^m such that A x = 0 \pmod{q} for full-rank A \in \mathbb{Z}_q^{n \times m}, with \|x\| below a bound. NTRU leverages the hardness of finding short vectors in lattice ideals over polynomial rings \mathbb{Z}/(x^N - 1). These problems underpin post-quantum security, as they resist attacks by both classical and quantum adversaries. The seminal framework for lattice-based IBE was established by , Peikert, and Vaikuntanathan in 2008, constructing IBE from LWE assumptions using trapdoor sampling on q-ary s. In this approach, the master public key consists of a random matrix A \in \mathbb{Z}_q^{n \times m}, and the master secret key is a short basis T for the q-ary \Lambda^\perp(A) = \{ x \in \mathbb{Z}^m \mid A x = 0 \pmod{q} \}. generation produces A and T such that T has small Gram-Schmidt norms, typically \| \tilde{T} \| \leq O(\sqrt{m}), enabling efficient sampling while preserving hardness. For a id, the private key is derived by computing the syndrome u = H(id) \in \mathbb{Z}_q^n via a H, then sampling a short preimage sk_{id} \in \mathbb{Z}^m satisfying A \cdot sk_{id} = u \pmod{q} using the T. This sampling employs discrete Gaussian distributions over the \Lambda_u(A) = \{ x \in \mathbb{Z}^m \mid A x = u \pmod{q} \}, with density \rho_{s,c}(x) = \exp(-\pi \|x - c\|^2 / s^2) for width s = \omega(\sqrt{n \log n}) and center c, ensuring sk_{id} remains statistically close to the error distribution in LWE. Encryption uses A and u to mask the message under LWE, while decryption recovers it via the short sk_{id}. Security proofs reduce IND-ID-CPA security to the LWE problem with dimension n, modulus q, and error rate \alpha = 1/(\sqrt{m} \log n), assuming LWE is hard for quantum polynomial-time adversaries. Recent developments up to 2025 have enhanced efficiency and functionality in lattice-based IBE. Zuo et al. (2024) proposed an LWE-based online/offline IBE supporting revocable keys through offline precomputation of partial ciphertexts, achieving 65-80% reduction in online time while maintaining IND-ID-CPA security under LWE hardness. For compactness, a 2025 -based IBE construction utilizes hybrid sampling algorithms to generate private keys, resulting in shorter ciphertexts (under 2 KB for 128-bit security) and improved efficiency over standard LWE variants, with security proven under and LWE assumptions. variants have also advanced, with Lapiha and Prest (2025) constructing an IND-CCA-secure key encapsulation mechanism (KEM) from lattice IBE via the BCHK transform (adapted with Fujisaki-Okamoto for consistency), relying on a IBE built atop the Agrawal-Boneh-Boyen framework and recent techniques like . This enables distributed key generation among t-out-of-N parties without multi-party computation overhead, secure under the Coset-Hint-MLWE assumption. These schemes provide quantum resistance, contrasting with classical IBE reliant on quantum-vulnerable assumptions like bilinear pairings. Lattice-based IBE achieves shorter public keys and ciphertexts (often 1-4 ) compared to hash-based post-quantum alternatives, facilitating practical adoption. benefits from optimizations, such as FPGA-accelerated number-theoretic transforms (NTT) for ring-LWE operations, reducing latency by up to 50% in ring-NTRU variants.

Benefits and Limitations

Advantages

Identity-based encryption (IBE) eliminates the overhead associated with traditional (PKI) by obviating the need for digital certificates, certificate directories, and revocation lists, which significantly reduces administrative and operational costs in cryptographic systems. This allows users to derive public keys directly from arbitrary identity strings, such as email addresses or names, streamlining the overall deployment without requiring complex certificate management processes. Key management in IBE is notably simplified, as private keys are generated by a trusted private key generator (PKG) based on user identities, thereby reducing enrollment procedures and eliminating the distribution of public key certificates. Identities can incorporate temporal elements, enabling automatic key expiration—such as on a weekly basis—without the need for additional revocation mechanisms, which further eases administrative burdens compared to PKI systems. Variants like hierarchical identity-based encryption (HIBE) offer potential for , where keys evolve over discrete time periods to ensure that compromise of a current key does not retroactively expose prior communications. In large-scale environments with a finite user base, the centralized PKG structure facilitates efficient operations, including workload distribution across hierarchical authorities and the ability to pre-generate keys for known users, enhancing . IBE enhances by allowing identities to be anonymized, role-based (e.g., "[email protected]"), or otherwise abstracted from personal details, minimizing unintended disclosure of during . IBE reduces usage in key exchanges by avoiding the transmission of , leading to more efficient communication protocols. For instance, this benefit has been applied in secure systems, where proceeds directly using recipient identities without certificate overhead.

Drawbacks and Challenges

One of the primary drawbacks of identity-based encryption (IBE) is the inherent key escrow problem, where the private key generator (PKG) possesses the master secret key and can thus derive any user's private key, potentially enabling widespread decryption if the PKG is compromised. This central authority holds ultimate control over all private keys, raising concerns about mass surveillance or abuse by the PKG itself. The reliance on a trusted PKG introduces a , as the system's security depends entirely on this entity's integrity, requiring rigorous auditing and secure operations to prevent insider threats or external breaches. While is an accepted property in standard IBE security models, it amplifies the need for the PKG to be a highly reliable, often government-backed or certified authority. User in IBE presents significant challenges, as identities are tied to long-term attributes like email addresses, and revoking access often requires updating all affected keys or identities, which can disrupt ongoing communications. Solutions such as revocable IBE () address this by incorporating revocation lists or time-based keys, but they introduce substantial computational overhead at the PKG during revocation events. Distributing private keys securely remains a logistical hurdle, as users must obtain their keys from the via confidential channels, frequently requiring in-person delivery or trusted couriers to avoid interception. This process complicates large-scale deployment and increases vulnerability during key handover. Classical IBE schemes, particularly those based on bilinear pairings, are susceptible to quantum attacks via , which can efficiently solve the underlying problems. Lattice-based IBE schemes offer post-quantum resistance by relying on the problem, but they incur higher performance costs, including larger key sizes and slower encryption/decryption operations compared to pairing-based alternatives. Potential mitigations include PKG schemes, where the master key is distributed across multiple parties requiring a to generate user keys, thereby reducing single-point risks. Short-lived keys, periodically regenerated with limited validity, can also limit the impact of escrow or compromise, though they demand frequent PKG interactions.

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