Zero-Trust Mobility-Aware Authentication Framework for Secure Vehicular Fog Computing Networks

Vehicular Fog Computing VFC is a promising paradigm to meet the low-latency and high-bandwidth demands of Intelligent Transportation Systems ITS. However, dynamic vehicle mobility and diverse trust boundaries introduce critical security challenges. This paper presents a novel Zero-Trust...

AI-Driven Dynamic Firewall Optimization Using Reinforcement Learning for Anomaly Detection and Prevention

The growing complexity of cyber threats has rendered static firewalls increasingly ineffective for dynamic, real-time intrusion prevention. This paper proposes a novel AI-driven dynamic firewall optimization framework that leverages deep reinforcement learning DRL to autonomously adapt and update...

CRYPTONITE: Scalable Accelerator Design for Cryptographic Primitives and Algorithms

Cryptographic primitives, consisting of repetitive operations with different inputs, are typically implemented using straight-line C code due to traditional execution on CPUs. Computing these primitives is necessary for secure communication; thus, dedicated hardware accelerators are required in...

Think Twice Before You Act: Enhancing Agent Behavioral Safety with Thought Correction

LLM-based autonomous agents possess capabilities such as reasoning, tool invocation, and environment interaction, enabling the execution of complex multi-step tasks. The internal reasoning process, i.e., thought, of behavioral trajectory significantly influences tool usage and subsequent actions...

Privacy-Preserving AI for Encrypted Medical Imaging: a Framework for Secure Diagnosis and Learning

The rapid integration of Artificial Intelligence AI into medical diagnostics has raised pressing concerns about patient privacy, especially when sensitive imaging data must be transferred, stored, or processed. In this paper, we propose a novel framework for privacy-preserving diagnostic inferenc...

AES-RV: Hardware-Efficient RISC-V Accelerator with Low-Latency AES Instruction Extension for IoT Security

The Advanced Encryption Standard AES is a widely adopted cryptographic algorithm essential for securing embedded systems and IoT platforms. However, existing AES hardware accelerators often face limitations in performance, energy efficiency, and flexibility. This paper presents AES-RV, a...

Assessing the Latency of Network Layer Security in 5G Networks

In contrast to its predecessors, 5G supports a wide range of commercial, industrial, and critical infrastructure scenarios. One key feature of 5G, ultra-reliable low latency communication, is particularly appealing to such scenarios for its real-time capabilities. However, 5G's enhanced security,...

RuleGenie: SIEM Detection Rule Set Optimization

SIEM systems serve as a critical hub, employing rule-based logic to detect and respond to threats. Redundant or overlapping rules in SIEM systems lead to excessive false alerts, degrading analyst performance due to alert fatigue, and increase computational overhead and response latency for actual...

Sponge Attacks on Sensing AI: Energy-Latency Vulnerabilities and Defense Via Model Pruning

Recent studies have shown that sponge attacks can significantly increase the energy consumption and inference latency of deep neural networks DNNs. However, prior work has focused primarily on computer vision and natural language processing tasks, overlooking the growing use of lightweight AI...

USN-7492-1: Linux kernel vulnerability

A security issues was discovered in the Linux kernel. An attacker could possibly use this to compromise the system. This update corrects flaws in the following subsystems: - Bluetooth drivers; CVE-2024-56653...

CVE-2023-53098

In the Linux kernel, the following vulnerability has been resolved: media: rc: gpio-ir-recv: add remove function In case runtime PM is enabled, do runtime PM clean up to remove cpu latency qos request, otherwise driver removal may have below kernel dump: 19.463299 Unable to handle kernel NULL...

SUSE CVE-2023-53098

In the Linux kernel, the following vulnerability has been resolved: media: rc: gpio-ir-recv: add remove function In case runtime PM is enabled, do runtime PM clean up to remove cpu latency qos request, otherwise driver removal may have below kernel dump: 19.463299 Unable to handle kernel NULL...

Energy-Efficient NTT Sampler for Kyber Benchmarked on FPGA

Kyber is a lattice-based key encapsulation mechanism selected for standardization by the NIST Post-Quantum Cryptography PQC project. A critical component of Kyber's key generation process is the sampling of matrix elements from a uniform distribution over the ring Rq . This step is one of the mos...

CVE-2023-53098

In the Linux kernel, the following vulnerability has been resolved: media: rc: gpio-ir-recv: add remove function In case runtime PM is enabled, do runtime PM clean up to remove cpu latency qos request, otherwise driver removal may have below kernel dump: 19.463299 Unable to handle kernel NULL...

CVE-2023-53098 media: rc: gpio-ir-recv: add remove function

In the Linux kernel, the following vulnerability has been resolved: media: rc: gpio-ir-recv: add remove function In case runtime PM is enabled, do runtime PM clean up to remove cpu latency qos request, otherwise driver removal may have below kernel dump: 19.463299 Unable to handle kernel NULL...

HoneyBee: Efficient Role-Based Access Control for Vector Databases Via Dynamic Partitioning

As vector databases gain traction in enterprise applications, robust access control has become critical to safeguard sensitive data. Access control in these systems is often implemented through hybrid vector queries, which combine nearest neighbor search on vector data with relational predicates...

PT-2025-18862 · Linux +1 · Linux Kernel +1

Name of the Vulnerable Software and Affected Versions: Linux kernel affected versions not specified Description: A vulnerability in the Linux kernel has been resolved. The issue is related to the gpio-ir-recv module and occurs when runtime PM is enabled. If runtime PM is enabled, the kernel may...

Confidential Serverless Computing

Although serverless computing offers compelling cost and deployment simplicity advantages, a significant challenge remains in securely managing sensitive data as it flows through the network of ephemeral function executions in serverless computing environments within untrusted clouds. While...

ROFBS$Α$: Real Time Backup System Decoupled from ML Based Ransomware Detection

This study introduces ROFBS$α$, a new defense architecture that addresses delays in detection in ransomware detectors based on machine learning. It builds on our earlier Real Time Open File Backup System, ROFBS, by adopting an asynchronous design that separates backup operations from detection...

Latency using any Cloud application with 49" Inch Monitor ( using 5K resolution [5120*1440] )

After switching from On-Prem 1912 CU6 to Cloud 2203 CU3 - There is sluggish performance using a higher resolution monitors & increased in number of Monitors - Problem appears on 6 monitors with a resolution of 19201200 - Problemappears on 1x monitor with 49" curved monitor with a resolution of...