Two-Dimensional XOR-Based Secret Sharing for Layered Multipath Communication

This paper introduces the first two-dimensional XOR-based secret sharing scheme for layered multipath communication networks. We present a construction that guarantees successful message recovery and perfect privacy when an adversary observes and disrupts any single path at each transmission laye...

CVE-2025-48707

An issue was discovered in Stormshield Network Security SNS before 5.0.1. TPM authentication information could, in some HA use cases, be shared among administrators, which can cause secret sharing...

CVE-2025-48707

An issue was discovered in Stormshield Network Security SNS before 5.0.1. TPM authentication information could, in some HA use cases, be shared among administrators, which can cause secret sharing...

Stormshield Network Security 安全漏洞

Stormshield Network Security SNS is a next-generation UTM Unified Threat Management firewall from Stormshield France. A security vulnerability exists in Stormshield Network Security versions prior to 5.0.1, which stems from the fact that TPM authentication information may be shared in HA use case...

CVE-2025-48707

CVE-2025-48707 affects Stormshield Network Security (SNS) prior to 5.0.1. In some HA configurations, TPM authentication information could be shared among administrators, potentially enabling secret sharing and reducing isolation of admin credentials. Public sources in the connected documents cons...

Surpassing the PLOB Bound in Continuous-Variable Quantum Secret Sharing Using a State-Discrimination Detector

Continuous-variable quantum secret sharing CVQSS is a promising approach to ensuring multi-party information security. While CVQSS offers practical ease of implementation, its present performance remains limited. In this paper, we propose a novel CVQSS protocol integrated with a...

VOIDFace: a Privacy-Preserving Multi-Network Face Recognition with Enhanced Security

Advancement of machine learning techniques, combined with the availability of large-scale datasets, has significantly improved the accuracy and efficiency of facial recognition. Modern facial recognition systems are trained using large face datasets collected from diverse individuals or public...

Efficient Mediated Multiparty Semi-Quantum Secret Sharing Protocol Based on Single-Qubit Reordering

Typical multiparty semi-quantum secret sharing MSQSS protocols require the dealer to possess full quantum capabilities, while the classical users usually need to perform three operations. To address this practical limitation, this paper introduces a new mediated MSQSS protocol that enables Alice,...

Split Happens: Combating Advanced Threats with Split Learning and Function Secret Sharing

Split Learning SL -- splits a model into two distinct parts to help protect client data while enhancing Machine Learning ML processes. Though promising, SL has proven vulnerable to different attacks, thus raising concerns about how effective it may be in terms of data privacy. Recent works have...

PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning

Decentralized learning is vulnerable to poison attacks, where malicious clients manipulate local updates to degrade global model performance. Existing defenses mainly detect and filter malicious models, aiming to prevent a limited number of attackers from corrupting the global model. However,...

Secret Sharing in 5G-MEC: Applicability for Joint Security and Dependability

Multi-access Edge Computing MEC, an enhancement of 5G, processes data closer to its generation point, reducing latency and network load. However, the distributed and edge-based nature of 5G-MEC presents privacy and security challenges, including data exposure risks. Ensuring efficient manipulatio...

MULTISS: Un Protocole De Stockage Confidentiel {À} Long Terme Sur Plusieurs R{É}Seaux QKD

This paper presents MULTISS, a new protocol for long-term storage distributed across multiple Quantum Key Distribution QKD networks. This protocol is an extension of LINCOS, a secure storage protocol that uses Shamir secret sharing for secret storage on a single QKD network. Our protocol uses...

Verifiable Weighted Secret Sharing

Traditionally, threshold secret sharing TSS schemes assume all parties have equal weight, yet emerging systems like blockchains reveal disparities in party trustworthiness, such as stake or reputation. Weighted Secret Sharing WSS addresses this by assigning varying weights to parties, ensuring...

The vulnerability of the Shamir’s secret platform implementation for archiving corporate information, HashiCorp Vault and Vault Enterprise, allows a intruder to gain unauthorized access to protected information.

The vulnerability of the Shamir’s secret platform implementation for archiving corporate information, both HashiCorp Vault and Vault Enterprise, is related to insufficient protection of sensitive data. Exploiting this vulnerability could allow an intruder to gain unauthorized access to the...

Privacy-Preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models

Prompt learning is a crucial technique for adapting pre-trained multimodal language models MLLMs to user tasks. Federated prompt personalization FPP is further developed to address data heterogeneity and local overfitting, however, it exposes personalized prompts - valuable intellectual assets - ...

Standing Firm in 5G: a Single-Round, Dropout-Resilient Secure Aggregation for Federated Learning

Federated learning FL is well-suited to 5G networks, where many mobile devices generate sensitive edge data. Secure aggregation protocols enhance privacy in FL by ensuring that individual user updates reveal no information about the underlying client data. However, the dynamic and large-scale...

Federated One-Shot Learning with Data Privacy and Objective-Hiding

Privacy in federated learning is crucial, encompassing two key aspects: safeguarding the privacy of clients' data and maintaining the privacy of the federator's objective from the clients. While the first aspect has been extensively studied, the second has received much less attention. We present...

Security of a Secret Sharing Protocol on the Qline

Secret sharing is a fundamental primitive in cryptography, and it can be achieved even with perfect security. However, the distribution of shares requires computational assumptions, which can compromise the overall security of the protocol. While traditional Quantum Key Distribution QKD can...

Resource Reduction in Multiparty Quantum Secret Sharing of Both Classical and Quantum Information under Noisy Scenario

Quantum secret sharing QSS enables secure distribution of information among multiple parties but remains vulnerable to noise. We analyze the effects of bit-flip, phase-flip, and amplitude damping noise on the multiparty QSS for classical message QSSCM and secret sharing of quantum information SSQ...

CVE-2025-29779

Post-Quantum Secure Feldman's Verifiable Secret Sharing provides a Python implementation of Feldman's Verifiable Secret Sharing VSS scheme. In versions 0.8.0b2 and prior, the secureredundantexecution function in feldmanvss.py attempts to mitigate fault injection attacks by executing a function...