CVE-2025-46617

Quantum StorNext Web GUI API before 7.2.4 grants access to internal StorNext configuration and unauthorized modification of some software configuration parameters via undocumented user credentials. This affects StorNext RYO before 7.2.4, StorNext Xcellis Workflow Director before 7.2.4, and...

Quantum StorNext Web GUI API 信任管理问题漏洞

The Quantum StorNext Web GUI API is a high-performance file sharing and data management interface from Quantum. A security vulnerability exists in the Quantum StorNext Web GUI API prior to version 7.2.4, which stems from possible access to internal configurations and modification of software...

SUSE CVE-2025-43965

In MIFF image processing in ImageMagick before 7.1.1-44, image depth is mishandled after SetQuantumFormat is used...

Near-Term Pseudorandom and Pseudoresource Quantum States

Whitepaper called Near-Term Pseudorandom And Pseudoresource Quantum States...

Crypto-NcRNA: Non-Coding RNA (NcRNA) Based Encryption Algorithm

In the looming post-quantum era, traditional cryptographic systems are increasingly vulnerable to quantum computing attacks that can compromise their mathematical foundations. To address this critical challenge, we propose crypto-ncRNA-a bio-convergent cryptographic framework that leverages the...

Quantum Autoencoder for Multivariate Time Series Anomaly Detection

Anomaly Detection AD defines the task of identifying observations or events that deviate from typical - or normal - patterns, a critical capability in IT security for recognizing incidents such as system misconfigurations, malware infections, or cyberattacks. In enterprise environments like SAP...

DEBIAN-CVE-2025-43965

In MIFF image processing in ImageMagick before 7.1.1-44, image depth is mishandled after SetQuantumFormat is used...

UBUNTU-CVE-2025-43965

In MIFF image processing in ImageMagick before 7.1.1-44, image depth is mishandled after SetQuantumFormat is used...

CVE-2025-43965

In MIFF image processing in ImageMagick before 7.1.1-44, image depth is mishandled after SetQuantumFormat is used...

Public-Key Quantum Fire and Key-Fire from Classical Oracles

Quantum fire was recently formalized by Bostanci, Nehoran and Zhandry STOC 25. This notion considers a distribution of quantum states that can be efficiently cloned, but cannot be converted into a classical string. Previously, work of Nehoran and Zhandry ITCS 24 showed how to construct quantum fi...

Performance Analysis of MDI-QKD in Thermal-Loss and Phase Noise Channels

Measurement-device-independent quantum key distribution MDI-QKD, enhances quantum cryptography by mitigating detector-side vulnerabilities. This study analyzes MDI-QKD performance in thermal-loss and phase noise channels, modeled as depolarizing and dephasing channels to capture thermal and phase...

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...

Quantum Technologies for beyond 5G and 6G Networks: Applications, Opportunities, and Challenges

As the world prepares for the advent of 6G networks, quantum technologies are becoming critical enablers of the next generation of communication systems. This survey paper investigates the convergence of quantum technologies and 6G networks, focusing on their applications, opportunities and...

MST3 Encryption Improvement with Three-Parameter Group of Hermitian Function Field

This scholarly work presents an advanced cryptographic framework utilizing automorphism groups as the foundational structure for encryption scheme implementation. The proposed methodology employs a three-parameter group construction, distinguished by its application of logarithmic signatures...

Quantum Pseudoresources Imply Cryptography

While one-way functions OWFs serve as the minimal assumption for computational cryptography in the classical setting, in quantum cryptography, we have even weaker cryptographic assumptions such as pseudo-random states, and EFI pairs, among others. Moreover, the minimal assumption for computationa...

The Hardness of Learning Quantum Circuits and Its Cryptographic Applications

We show that concrete hardness assumptions about learning or cloning the output state of a random quantum circuit can be used as the foundation for secure quantum cryptography. In particular, under these assumptions we construct secure one-way state generators OWSGs, digital signature schemes,...

Complexity of Post-Quantum Cryptography in Embedded Systems and Its Optimization Strategies

With the rapid advancements in quantum computing, traditional cryptographic schemes like Rivest-Shamir-Adleman RSA and elliptic curve cryptography ECC are becoming vulnerable, necessitating the development of quantum-resistant algorithms. The National Institute of Standards and Technology NIST ha...

Post Quantum Cryptography (PQC) Signatures without Trapdoors

Some of our current public key methods use a trap door to implement digital signature methods. This includes the RSA method, which uses Fermat's little theorem to support the creation and verification of a digital signature. The problem with a back-door is that the actual trap-door method could, ...

CISA Releases Six Industrial Control Systems Advisories

CISA released six Industrial Control Systems ICS advisories on April 17, 2025. These advisories provide timely information about current security issues, vulnerabilities, and exploits surrounding ICS. ICSA-25-107-01 Schneider Electric Trio Q Licensed Data Radio ICSA-25-107-02 Schneider Electric...

Quantum Computing Supported Adversarial Attack-Resilient Autonomous Vehicle Perception Module for Traffic Sign Classification

Deep learning DL-based image classification models are essential for autonomous vehicle AV perception modules since incorrect categorization might have severe repercussions. Adversarial attacks are widely studied cyberattacks that can lead DL models to predict inaccurate output, such as incorrect...