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IEEE Transactions on Communications

Construction of Quantum Anamorphic Evolving Dynamic-Threshold Secret-Sharing Schemes

Shion Samadder Chaudhury, Sayantan Ganguly

Published Jul 8, 2025• 2 citations
Publisher

Abstract

We propose the concept ofQuantum Anamorphic Evolving Secret-Sharing(QAESS), combining two different cryptographic primitives in this paper. In QAESS, we have theanamorphic property, allowing alternate secrets to be embedded within the primary secret-sharing framework, accessible only under specific constraints, and theevolvingproperty ofsecret-sharing(ESS) where the scheme can dynamically adapt by accommodating potentially an infinite number of new parties without reinitialization. To achieve this, the major hurdles we encounter are 1) the large dimensions of shares and the requirement of huge quantum memory, and 2) the system breakdown by inserting a spy. In our first construction, we present a QAESS scheme, and in the second construction, we use secret redistribution to mitigate the above challenges. Our constructions extensively use quantum trap codes, random permutations, and data structure techniques. We analyze the schemes’ efficiency, scalability, and robustness through theoretical proofs and complexity estimates. This integration of quantum anamorphism and evolving properties finds potential application in several Internet of Things (IoT) and other practical scenarios. We close the paper by discussing several advantages of our constructions and some interesting problems for further study.

DOI
10.1109/tcomm.2025.3587045

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We propose the concept ofQuantum Anamorphic Evolving Secret-Sharing(QAESS), combining two different cryptographic primitives in this paper. In QAESS, we have theanamorphic property, allowing alternate secrets to be embedded within the primary secret-sharing framework, accessible only under specific constraints, and theevolvingproperty ofsecret-sharing(ESS) where the scheme can dynamically adapt by accommodating potentially an infinite number of new parties without reinitialization. To achieve this, the major hurdles we encounter are 1) the large dimensions of shares and the requirement of huge quantum memory, and 2) the system breakdown by inserting a spy. In our first construction, we present a QAESS scheme, and in the second construction, we use secret redistribution to mitigate the above challenges. Our constructions extensively use quantum trap codes, random permutations, and data structure techniques. We analyze the schemes’ efficiency, scalability, and robustness through theoretical proofs and complexity estimates. This integration of quantum anamorphism and evolving properties finds potential application in several Internet of Things (IoT) and other practical scenarios. We close the paper by discussing several advantages of our constructions and some interesting problems for further study.
A quantum secret sharing scheme is a method to share a quantum secret among participants in such a way that only certain specified subsets of the set of participants can combine to recover the secret. A quantum evolving secret sharing scheme is a recently introduced variant of secret sharing schemes where the sets of participants is not fixed and an unbounded and unspecified number of participants arrive one by one with time. The number of participants can be potentially infinite and and a quantum secret is shared and protected among the participants. The existing construction has some major drawbacks such as 1) the exponential quantum memory requirement and 2) the very high dimensions of the shares which makes the scheme difficult to implement. In this paper we overcome these drawbacks by constructing a scheme which uses quantum memory linear in the number of participants and significantly improves on the dimensions of the shares of the participants. This construction uses quantum secret redistribution and trap codes. The construction is flexible and can be modified to different types of access structures(subsets of participants which can recover the secret). Certain ramp properties can also be incorporated in the scheme.
The concept of anamorphic encryption, first formally introduced by Persiano et al. in their influential 2022 paper titled ``Anamorphic Encryption: Private Communication Against a Dictator,'' enables embedding covert messages within ciphertexts. One of the key distinctions between a ciphertext embedding a covert message and an original ciphertext, compared to an anamorphic ciphertext, lies in the indistinguishability between the original ciphertext and the anamorphic ciphertext. This encryption procedure has been defined based on a public-key cryptosystem. Initially, we present a quantum analogue of the classical anamorphic encryption definition that is based on public-key encryption. Additionally, we introduce a definition of quantum anamorphic encryption that relies on symmetric key encryption. Furthermore, we provide a detailed generalized construction of quantum anamorphic symmetric key encryption within a general framework, which involves taking any two quantum density matrices of any different dimensions and constructing a single quantum density matrix, which is the quantum anamorphic ciphertext containing ciphertexts of both of them. Subsequently, we introduce a definition of computational anamorphic secret-sharing and extend the work of Çakan et al. on computational quantum secret-sharing to computational quantum anamorphic secret-sharing, specifically addressing scenarios with multiple messages, multiple keys, and a single share function. This proposed secret-sharing scheme demonstrates impeccable security measures against quantum adversaries.
As the most popular cryptographic scheme in the post-quantum field, lattices have received extensive attention and research. Not only do they provide quantum-resistant security, they also enable the construction of complex applications. Currently, lattice cryptography schemes based on different difficult problems have been applied in different fields. The threshold secret sharing (TSS) scheme is an important field of cryptography and has important application value and development prospects in key protection, secure multi-party computation, privacy protection, etc. However, with the rapid development of quantum computing, many existing cryptography-underlying technologies are facing huge difficulties and challenges. Therefore, post-quantum TSS has important research significance and value for the future development of cryptography. In this paper, we summarize the existing secret sharing schemes based on lattice-hard problems and the relevant applications of these schemes in the post-quantum realm. We classify existing lattice-based TSS according to different functions and introduce typical solutions. To the best of our knowledge, this is the first review paper on lattice-based TSS schemes.
With the development of quantum technologies, the issue of research and implementation of cryptographic primitives based on complex problems for quantum computing becomes relevant. Such cryptographic primitives are resistant to quantum cryptanalysis. Examples of problems with exponential complexity for quantum computing is lattice problems such as finding the shortest vector or finding the closest vector. One of the first and most famous quantum-resistant cryptosystems that use lattice problems as the basis of its mathematical apparatus is the Goldwasser-Goldrich-Halevi cryptosystem.A secret distribution scheme is a fundamental cryptographic primitive that allows the distribution of a secret among a set of participants while the secret recovery is possible only when all or a certain part of the participants (the threshold of participants) is authorized. Also, a necessary condition for a secret distribution scheme is the impossibility of individual participants, or groups of participants whose number is less than the threshold, to recover the secret. Variants of constructing secret sharing schemes on various mathematical models, including lattices, are currently being actively studied since they allow for security multiparty calculations and secure information dissemination by distributing the original data between different servers. It is also used for constructing compilers of schemes with protection against leakage, etc. In this paper, a new quantum-stable n-threshold secret sharing scheme for n participants, based on the Goldwasser-Goldrich-Halevi cryptosystem, is proposed.
In this paper we define a kind of decomposition for a quantum access structure. We propose a conception of minimal maximal quantum access structure and obtain a sufficient and necessary condition for minimal maximal quantum access structure, which shows the relationship between the number of minimal authorized sets and that of the players. Moreover, we investigate the construction of efficient quantum secret schemes by using these techniques, a decomposition and minimal maximal quantum access structure. A major advantage of these techniques is that it allows us to construct a method to realize a general quantum access structure. For these quantum access structures, we present two quantum secret schemes via the idea of concatenation or a decomposition of a quantum access structure. As a consequence, the application of these techniques allow us to save more quantum shares and reduce more cost than the existing scheme.
Quantum secret sharing (QSS) is a cryptographic multiparty communication technique in which a secret is divided and shared among N parties and then securely reconstructed by (N-1) cooperating parties, making it perfect for storing and sharing highly sensitive data. Challenges in high dimensional state preparation, transformation and detection, the key steps of any QSS protocol, have so far hindered experimental realisation. Here, by taking advantage of the high-dimensional encoding space accessible by a photon's orbital angular momentum, we present a toolbox for realising practical high-dimensional single photon QSS schemes that are easily scalable in both dimension and number of participants. Our implementations realised a new record in both the number of participants (N=10) and the dimensionality (d=11), with the latter facilitating the transfer of 2.89 bits of information per photon. This work is an important step towards securely distributing information across a network of nodes.