Webex App for VDI not optimized

Webex App for VDI is working with fallback mode, instead of VDI-optimized mode...

FedTDP: a Privacy-Preserving and Unified Framework for Trajectory Data Preparation Via Federated Learning

Trajectory data, which capture the movement patterns of people and vehicles over time and space, are crucial for applications like traffic optimization and urban planning. However, issues such as noise and incompleteness often compromise data quality, leading to inaccurate trajectory analyses and...

DMRL: Data- and Model-Aware Reward Learning for Data Extraction

Large language models LLMs are inherently vulnerable to unintended privacy breaches. Consequently, systematic red-teaming research is essential for developing robust defense mechanisms. However, current data extraction methods suffer from several limitations: 1 rely on dataset duplicates...

Preparing for the Post Quantum Era: Quantum Ready Architecture for Security and Risk Management (QUASAR) -- a Strategic Framework for Cybersecurity

As quantum computing progresses, traditional cryptographic systems face the threat of obsolescence due to the capabilities of quantum algorithms. This paper introduces the Quantum-Ready Architecture for Security and Risk Management QUASAR, a novel framework designed to help organizations prepare...

SUSE-SU-2025:1452-1 Security update for libva

This update for libva fixes the following issues: Update to libva version 2.20.0, which includes security fix for: - CVE-2023-39929: Uncontrolled search path may allow an authenticated user to escalate privilege via local access bsc1224413, jscPED-11066 This includes latest version of one of the...

SUSE-SU-2025:1451-1 Security update for libva

This update for libva fixes the following issues: Update to libva version 2.20.0, which includes security fix for: uncontrolled search path may allow an authenticated user to escalate privilege via local access CVE-2023-39929, bsc1224413, jscPED-11066 This includes latest version of one of the...

CVE-2023-53134 bnxt_en: Avoid order-5 memory allocation for TPA data

In the Linux kernel, the following vulnerability has been resolved: bnxten: Avoid order-5 memory allocation for TPA data The driver needs to keep track of all the possible concurrent TPA GRO/LRO completions on the aggregation ring. On P5 chips, the maximum number of concurrent TPA is 256 and the...

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...

Zero-Day Botnet Attack Detection in IoV: a Modular Approach Using Isolation Forests and Particle Swarm Optimization

The Internet of Vehicles IoV is transforming transportation by enhancing connectivity and enabling autonomous driving. However, this increased interconnectivity introduces new security vulnerabilities. Bot malware and cyberattacks pose significant risks to Connected and Autonomous Vehicles CAVs, ...

An Empirical Study on the Effectiveness of Large Language Models for Binary Code Understanding

Binary code analysis plays a pivotal role in the field of software security and is widely used in tasks such as software maintenance, malware detection, software vulnerability discovery, patch analysis, etc. However, unlike source code, reverse engineers face significant challenges in understandi...

Cert-SSB: toward Certified Sample-Specific Backdoor Defense

Deep neural networks DNNs are vulnerable to backdoor attacks, where an attacker manipulates a small portion of the training data to implant hidden backdoors into the model. The compromised model behaves normally on clean samples but misclassifies backdoored samples into the attacker-specified...

CVE-2025-3795

A vulnerability was found in DaiCuo 1.3.13. It has been rated as problematic. Affected by this issue is some unknown functionality of the component SEO Optimization Settings Section. The manipulation leads to cross site scripting. The attack may be launched remotely. The exploit has been disclose...

Differentially Private Quasi-Concave Optimization: Bypassing the Lower Bound and Application to Geometric Problems

Whitepaper called Differentially Private Quasi-Concave Optimization: Bypassing The Lower Bound And Application To Geometric Problems...

A Gradient-Optimized TSK Fuzzy Framework for Explainable Phishing Detection

Phishing attacks represent an increasingly sophisticated and pervasive threat to individuals and organizations, causing significant financial losses, identity theft, and severe damage to institutional reputations. Existing phishing detection methods often struggle to simultaneously achieve high...

gnutls security update

3.6.16-8.3fips - Allow RSA keygen with modulus sizes bigger than 3072 bits and validate the seed length as defined in FIPS 186-4 section B.3.2 Orabug: 33200526 - Allow bigger known RSA modulus sizes when calling rsageneratefips1864keypair directly Orabug: 33200526 - Change Epoch from 1 to 10...

Firewall Regulatory Networks for Autonomous Cyber Defense

In this paper, we present the principles of designing new self-organising and autonomous management protocol to govern the dynamics of bio-inspired decentralized firewall architecture based on Biological Regularity Networks. The new architecture called Firewall Regulatory Networks FRN exhibits th...

Private Federated Learning Using Preference-Optimized Synthetic Data

In practical settings, differentially private Federated learning DP-FL is the dominant method for training models from private, on-device client data. Recent work has suggested that DP-FL may be enhanced or outperformed by methods that use DP synthetic data Wu et al., 2024; Hou et al., 2024. The...

Residual-Evasive Attacks on ADMM in Distributed Optimization

This paper presents two attack strategies designed to evade detection in ADMM-based systems by preventing significant changes to the residual during the attacked iteration. While many detection algorithms focus on identifying false data injection through residual changes, we show that our attacks...

Blockchain Meets Adaptive Honeypots: a Trust-Aware Approach to Next-Gen IoT Security

Edge computing-based Next-Generation Wireless Networks NGWN-IoT offer enhanced bandwidth capacity for large-scale service provisioning but remain vulnerable to evolving cyber threats. Existing intrusion detection and prevention methods provide limited security as adversaries continually adapt the...

ReGraph: a Tool for Binary Similarity Identification

Binary Code Similarity Detection BCSD is not only essential for security tasks such as vulnerability identification but also for code copying detection, yet it remains challenging due to binary stripping and diverse compilation environments. Existing methods tend to adopt increasingly complex...