5109 matches found
GRIDAI: Generating and Repairing Intrusion Detection Rules Via Collaboration among Multiple LLM-Based Agents
Rule-based network intrusion detection systems play a crucial role in the real-time detection of Web attacks. However, most existing works primarily focus on automatically generating detection rules for new attacks, often overlooking the relationships between new attacks and existing rules, which...
Attack-Specialized Deep Learning with Ensemble Fusion for Network Anomaly Detection
The growing scale and sophistication of cyberattacks pose critical challenges to network security, particularly in detecting diverse intrusion types within imbalanced datasets. Traditional intrusion detection systems IDS often struggle to maintain high accuracy across both frequent and rare...
Lightweight CNN-Based Wi-Fi Intrusion Detection Using 2D Traffic Representations
Wi-Fi networks are ubiquitous in both home and enterprise environments, serving as a primary medium for Internet access and forming the backbone of modern IoT ecosystems. However, their inherent vulnerabilities, combined with widespread adoption, create opportunities for malicious actors to gain...
New Machine Learning Approaches for Intrusion Detection in ADS-B
With the growing reliance on the vulnerable Automatic Dependent Surveillance-Broadcast ADS-B protocol in air traffic management ATM, ensuring security is critical. This study investigates emerging machine learning models and training strategies to improve AI-based intrusion detection systems IDS...
A Multi-Layered Embedded Intrusion Detection Framework for Programmable Logic Controllers
Industrial control system ICS operations use trusted endpoints like human machine interfaces HMIs and workstations to relay commands to programmable logic controllers PLCs. Because most PLCs lack layered defenses, compromise of a trusted endpoint can drive unsafe actuator commands and risk...
EUVD-1999-0581
Malware in sbrugna...
EUVD-2000-0556
Malware in sbrugna...
EUVD-2015-0635
Malware in sbrugna...
EUVD-2005-0969
Malware in sbrugna...
EUVD-1999-0584
Malware in sbrugna...
EUVD-1999-0585
Malware in sbrugna...
EUVD-2000-0708
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EUVD-1999-0582
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EUVD-2007-3269
Malware in sbrugna...
EUVD-1999-0583
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EUVD-2016-6259
Malware in sbrugna...
OptiFLIDS: Optimized Federated Learning for Energy-Efficient Intrusion Detection in IoT
In critical IoT environments, such as smart homes and industrial systems, effective Intrusion Detection Systems IDS are essential for ensuring security. However, developing robust IDS solutions remains a significant challenge. Traditional machine learning-based IDS models typically require large...
EUVD-2024-52824
Malicious code in bioql PyPI...