223 matches found
Knowledge-To-Data: LLM-Driven Synthesis of Structured Network Traffic for Testbed-Free IDS Evaluation
Realistic, large-scale, and well-labeled cybersecurity datasets are essential for training and evaluating Intrusion Detection Systems IDS. However, they remain difficult to obtain due to privacy constraints, data sensitivity, and the cost of building controlled collection environments such as...
Rethinking Secure Semantic Communications in the Age of Generative and Agentic AI: Threats and Opportunities
Semantic communication SemCom improves communication efficiency by transmitting task-relevant information instead of raw bits and is expected to be a key technology for 6G networks. Recent advances in generative AI GenAI further enhance SemCom by enabling robust semantic encoding and decoding und...
Exploring the Integration of Differential Privacy in Cybersecurity Analytics: Balancing Data Utility and Privacy in Threat Intelligence
To resolve the acute problem of privacy protection and guarantee that data can be used in the context of threat intelligence, this paper considers the implementation of Differential Privacy DP in cybersecurity analytics. DP, which is a sound mathematical framework, ensures privacy by adding a...
Zero-Trust Agentic Federated Learning for Secure IIoT Defense Systems
Recent attacks on critical infrastructure, including the 2021 Oldsmar water treatment breach and 2023 Danish energy sector compromises, highlight urgent security gaps in Industrial IoT IIoT deployments. While Federated Learning FL enables privacy-preserving collaborative intrusion detection,...
PHANTOM: Progressive High-Fidelity Adversarial Network for Threat Object Modeling
The scarcity of cyberattack data hinders the development of robust intrusion detection systems. This paper introduces PHANTOM, a novel adversarial variational framework for generating high-fidelity synthetic attack data. Its innovations include progressive training, a dual-path VAE-GAN...
LLM-Based Vulnerable Code Augmentation: Generate or Refactor?
Vulnerability code-bases often suffer from severe imbalance, limiting the effectiveness of Deep Learning-based vulnerability classifiers. Data Augmentation could help solve this by mitigating the scarcity of under-represented CWEs. In this context, we investigate LLM-based augmentation for...
PrivLLMSwarm: Privacy-Preserving LLM-Driven UAV Swarms for Secure IoT Surveillance
Large Language Models LLMs are emerging as powerful enablers for autonomous reasoning and natural-language coordination in unmanned aerial vehicle UAV swarms operating within Internet of Things IoT environments. However, existing LLM-driven UAV systems process sensitive operational data in...
Federated Cyber Defense: Privacy-Preserving Ransomware Detection across Distributed Systems
Detecting malware, especially ransomware, is essential to securing today's interconnected ecosystems, including cloud storage, enterprise file-sharing, and database services. Training high-performing artificial intelligence AI detectors requires diverse datasets, which are often distributed acros...
Evaluation of Vision-LLMs in Surveillance Video
The widespread use of cameras in our society has created an overwhelming amount of video data, far exceeding the capacity for human monitoring. This presents a critical challenge for public safety and security, as the timely detection of anomalous or criminal events is crucial for effective...
Cryptanalysis of a Privacy-Preserving Ride-Hailing Service from NSS 2022
Ride-Hailing Services RHS match a ride request initiated by a rider with a suitable driver responding to the ride request. A Privacy-Preserving RHS PP-RHS aims to facilitate ride matching while ensuring the privacy of riders' and drivers' location data w.r.t. the Service Provider SP. At NSS 2022,...
ExPrESSO: Zero-Knowledge Backed Extensive Privacy Preserving Single Sign-On
User authentication is one of the most important aspects for secure communication between services and end-users over the Internet. Service providers leverage Single-Sign On SSO to make it easier for their users to authenticate themselves. However, standardized systems for SSO, such as OIDC, do n...
EUVD-2020-29144
Malware in sbrugna...
EUVD-2023-0259
Malicious code in bioql PyPI...
EUVD-2023-0261
Malicious code in bioql PyPI...
EUVD-2023-0257
Malicious code in bioql PyPI...
EUVD-2022-37911
Malicious code in bioql PyPI...
EUVD-2023-0255
Malicious code in bioql PyPI...
EUVD-2023-0262
Malicious code in bioql PyPI...