37 matches found
Threat Modeling for Enhancing Security of IoT Audio Classification Devices under a Secure Protocols Framework
The rapid proliferation of IoT nodes equipped with microphones and capable of performing on-device audio classification exposes highly sensitive data while operating under tight resource constraints. To protect against this, we present a defence-in-depth architecture comprising a security protoco...
Experimental Evaluation of Post-Quantum Homomorphic Encryption for Privacy-Preserving V2X Communication
Intelligent Transportation Systems ITS fundamentally rely on vehicle-generated data for applications such as congestion monitoring and route optimization, making the preservation of user privacy a critical challenge. Homomorphic Encryption HE offers a promising solution by enabling computation on...
Restricted Boltzmann Machine As a Probabilistic Enigma
We theoretically propose a symmetric encryption scheme based on Restricted Boltzmann Machines that functions as a probabilistic Enigma device, encoding information in the marginal distributions of visible states while utilizing bias permutations as cryptographic keys. Theoretical analysis reveals...
Time Entangled Quantum Blockchain with Phase Encoding for Classical Data
With rapid advancements in quantum computing, it is widely believed that there will be quantum hardware capable of compromising classical cryptography and hence, the internet and the current information security infrastructure in the coming decade. This is mainly due to the operational realizatio...
Secure and Efficient Quantum Signature Scheme Based on the Controlled Unitary Operations Encryption
Quantum digital signatures ensure unforgeable message authenticity and integrity using quantum principles, offering unconditional security against both classical and quantum attacks. They are crucial for secure communication in high-stakes environments, ensuring trust and long-term protection in...
Entangled Threats: a Unified Kill Chain Model for Quantum Machine Learning Security
Quantum Machine Learning QML systems inherit vulnerabilities from classical machine learning while introducing new attack surfaces rooted in the physical and algorithmic layers of quantum computing. Despite a growing body of research on individual attack vectors - ranging from adversarial poisoni...
Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs
As Artificial Intelligence AI systems, particularly those based on machine learning ML, become integral to high-stakes applications, their probabilistic and opaque nature poses significant challenges to traditional verification and validation methods. These challenges are exacerbated in regulated...
Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security
Federated learning FL enables collaborative model training while preserving user data privacy by keeping data local. Despite these advantages, FL remains vulnerable to privacy attacks on user updates and model parameters during training and deployment. Secure aggregation protocols have been...
Exploit for Exposure of Sensitive Information to an Unauthorized Actor in Checkpoint Quantum_Spark_Firmware
EN Is a Proof of Concept PoC script to check for vulnerabil...
Exploit for Exposure of Sensitive Information to an Unauthorized Actor in Checkpoint Quantum_Spark_Firmware
CVE-2024-24919-POC A Simple tool to Automate CVE-2024-24919 E...
Exploit for Exposure of Sensitive Information to an Unauthorized Actor in Checkpoint Quantum_Spark_Firmware
Exploit for CVE-2024-24919 Description This Python script...
Exploit for Exposure of Sensitive Information to an Unauthorized Actor in Checkpoint Quantum_Spark_Firmware
CVE-2024-24919-Check-Point-Remote-Access-VPN CVE-2024-24919...
Exploit for Exposure of Sensitive Information to an Unauthorized Actor in Checkpoint Quantum_Spark_Firmware
CVE-2024-24919 An Vulnerability detection and Exploitation too...
Check Point Quantum Security Gateways Information Disclosure Vulnerability
Check Point Quantum Security Gateways contain an unspecified information disclosure vulnerability. The vulnerability potentially allows an attacker to access information on Gateways connected to the internet, with IPSec VPN, Remote Access VPN or Mobile Access enabled. This issue affects several...
Check Point Warns of Zero-Day Attacks on its VPN Gateway Products
Check Point is warning of a zero-day vulnerability in its Network Security gateway products that threat actors have exploited in the wild. Tracked as CVE-2024-24919 CVSS score: 8.6, the issue impacts CloudGuard Network, Quantum Maestro, Quantum Scalable Chassis, Quantum Security Gateways, and...
VulnCheck KEV: CVE-2024-24919
Check Point Quantum Security Gateways contain an unspecified information disclosure vulnerability. The vulnerability potentially allows an attacker to access information on Gateways connected to the internet, with IPSec VPN, Remote Access VPN or Mobile Access enabled. This issue affects several...
Check Point Response to CVE-2022-21449 - Java "Psychic Signatures"
Symptoms - On April 20, 2022, security researcher Neil Madden published a blog post in which he provided details about a newly disclosed vulnerability in Java, CVE-2022-21449 or "Psychic Signatures". This security vulnerability originates in an incorrect implementation of the ECDSA signature...