Constructing a Photonic Implementation of Quantum Key Distribution

Quantum Key Distribution QKD stands as a revolutionary approach to secure communication, using the principles of quantum mechanics to establish unbreakable channels. Unlike traditional cryptography, which relies on the computational difficulty of mathematical problems, QKD utilizes the inherent...

Perfect Message Authentication Codes Are Robust to Small Deviations from Uniform Key Distributions

We investigate the impact of possible deviations of the probability distribution of key values from a uniform distribution for the information-theoretic strong, or perfect, message authentication code. We found a simple expression for the decrease in security as a function of the statistical...

Radio Adversarial Attacks on EMG-Based Gesture Recognition Networks

Surface electromyography EMG enables non-invasive human-computer interaction in rehabilitation, prosthetics, and virtual reality. While deep learning models achieve over 97% classification accuracy, their vulnerability to adversarial attacks remains largely unexplored in the physical domain. We...

ShrinkBox: Backdoor Attack on Object Detection to Disrupt Collision Avoidance in Machine Learning-Based Advanced Driver Assistance Systems

Advanced Driver Assistance Systems ADAS significantly enhance road safety by detecting potential collisions and alerting drivers. However, their reliance on expensive sensor technologies such as LiDAR and radar limits accessibility, particularly in low- and middle-income countries. Machine...

Data-Plane Telemetry to Mitigate Long-Distance BGP Hijacks

Poor security of Internet routing enables adversaries to divert user data through unintended infrastructures hijack. Of particular concern -- and the focus of this paper -- are cases where attackers reroute domestic traffic through foreign countries, exposing it to surveillance, bypassing legal...

Safeguarding Federated Learning-Based Road Condition Classification

Federated Learning FL has emerged as a promising solution for privacy-preserving autonomous driving, specifically camera-based Road Condition Classification RCC systems, harnessing distributed sensing, computing, and communication resources on board vehicles without sharing sensitive image data...

Arbiter PUF: Uniqueness and Reliability Analysis Using Hybrid CMOS-Stanford Memristor Model

In an increasingly interconnected world, protecting electronic devices has grown more crucial because of the dangers of data extraction, reverse engineering, and hardware tampering. Producing chips in a third-party manufacturing company can let hackers change the design. As the Internet of Things...

ZK-SERIES: Privacy-Preserving Authentication Using Temporal Biometric Data

Biometric authentication relies on physiological or behavioral traits that are inherent to a user, making them difficult to lose, forge or forget. Biometric data with a temporal component enable the following authentication protocol: recent readings of the underlying biometrics are encoded as tim...

Enclosing Prototypical Variational Autoencoder for Explainable Out-of-Distribution Detection

Understanding the decision-making and trusting the reliability of Deep Machine Learning Models is crucial for adopting such methods to safety-relevant applications. We extend self-explainable Prototypical Variational models with autoencoder-based out-of-distribution OOD detection: A Variational...

Private Evolution Converges

Private Evolution PE is a promising training-free method for differentially private DP synthetic data generation. While it achieves strong performance in some domains e.g., images and text, its behavior in others e.g., tabular data is less consistent. To date, the only theoretical analysis of the...

A Certified Unlearning Approach without Access to Source Data

With the growing adoption of data privacy regulations, the ability to erase private or copyrighted information from trained models has become a crucial requirement. Traditional unlearning methods often assume access to the complete training dataset, which is unrealistic in scenarios where the...

A Tertiary Review on Quantum Cryptography

Quantum computers impose an immense threat to system security. As a countermeasure, new cryptographic classes have been created to prevent these attacks. Technologies such as post-quantum cryptography and quantum cryptography. Quantum cryptography uses the principle of quantum physics to produce...

WordPress plugin Calculate Prices based on Distance For WooCommerce 安全漏洞

WordPress and WordPress plugin are both products of the WordPress Foundation.WordPress is a blogging platform developed in the PHP language. The platform supports personal blog sites on PHP and MySQL servers.WordPress plugin is an application plugin. A security vulnerability exists in WordPress...

Active Sybil Attack and Efficient Defense Strategy in IPFS DHT

The InterPlanetary File System IPFS is a decentralized peer-to-peer P2P storage that relies on Kademlia, a Distributed Hash Table DHT structure commonly used in P2P systems for its proved scalability. However, DHTs are known to be vulnerable to Sybil attacks, in which a single entity controls...

The DCR Delusion: Measuring the Privacy Risk of Synthetic Data

Synthetic data has become an increasingly popular way to share data without revealing sensitive information. Though Membership Inference Attacks MIAs are widely considered the gold standard for empirically assessing the privacy of a synthetic dataset, practitioners and researchers often rely on...

Property-Preserving Hashing for $\Ell_1$-Distance Predicates: Applications to Countering Adversarial Input Attacks

Perceptual hashing is used to detect whether an input image is similar to a reference image with a variety of security applications. Recently, they have been shown to succumb to adversarial input attacks which make small imperceptible changes to the input image yet the hashing algorithm does not...

CVE-2025-26764

Missing Authorization vulnerability in enituretechnology Distance Based Shipping Calculator distance-based-shipping-calculator allows Exploiting Incorrectly Configured Access Control Security Levels.This issue affects Distance Based Shipping Calculator: from n/a through = 2.0.22...

CVE-2025-26764 WordPress Distance Based Shipping Calculator plugin <= 2.0.22 - Settings Change vulnerability

Missing Authorization vulnerability in enituretechnology Distance Based Shipping Calculator distance-based-shipping-calculator allows Exploiting Incorrectly Configured Access Control Security Levels.This issue affects Distance Based Shipping Calculator: from n/a through = 2.0.22...

CVE-2025-26764 WordPress Distance Based Shipping Calculator plugin <= 2.0.22 - Settings Change vulnerability

Missing Authorization vulnerability in enituretechnology Distance Based Shipping Calculator distance-based-shipping-calculator allows Exploiting Incorrectly Configured Access Control Security Levels.This issue affects Distance Based Shipping Calculator: from n/a through = 2.0.22...

CVE-2025-26764

CVE-2025-26764 describes a Missing Authorization vulnerability in the WordPress Distance Based Shipping Calculator plugin, affecting versions up to 2.0.22. An attacker could exploit the misconfigured access control to update settings. Patch status indicates the issue is addressed in versions late...