232 matches found
UBUNTU-CVE-2026-22263
Suricata is a network IDS, IPS and NSM engine. Starting in version 8.0.0 and prior to version 8.0.3, inefficiency in http1 headers parsing can lead to slowdown over multiple packets. Version 8.0.3 patches the issue. No known workarounds are available...
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...
CVE-1999-0599
A network intrusion detection system IDS does not properly handle packets with improper sequence numbers...
CVE-1999-0601
A network intrusion detection system IDS does not properly handle data within TCP handshake packets...
CVE-1999-0598
A network intrusion detection system IDS does not properly handle packets that are sent out of order, allowing an attacker to escape detection...
CVE-1999-0600
A network intrusion detection system IDS does not verify the checksum on a packet...
CVE-1999-0602
A network intrusion detection system IDS does not properly reassemble fragmented packets...
FedLiTeCAN : A Federated Lightweight Transformer for Fast and Robust CAN Bus Intrusion Detection
This work implements a lightweight Transformer model for IDS in the domain of Connected and Autonomous Vehicles...
SQLite-Injection-Lab
آزمایشگاه تزریق SQL SQL Injection Lab یک محیط آموزشی جامع ب...
An Efficient Privacy-Preserving Intrusion Detection Scheme for UAV Swarm Networks
The rapid proliferation of unmanned aerial vehicles UAVs and their applications in diverse domains, such as surveillance, disaster management, agriculture, and defense, have revolutionized modern technology. While the potential benefits of swarm-based UAV networks are growing significantly, they...
A Novel and Practical Universal Adversarial Perturbations against Deep Reinforcement Learning Based Intrusion Detection Systems
Intrusion Detection Systems IDS play a vital role in defending modern cyber physical systems against increasingly sophisticated cyber threats. Deep Reinforcement Learning-based IDS, have shown promise due to their adaptive and generalization capabilities. However, recent studies reveal their...
Toward Autonomous and Efficient Cybersecurity: A Multi-Objective AutoML-Based Intrusion Detection System
With increasingly sophisticated cybersecurity threats and rising demand for network automation, autonomous cybersecurity mechanisms are becoming critical for securing modern networks. The rapid expansion of Internet of Things IoT systems amplifies these challenges, as resource-constrained IoT...
Large Language Models for Cyber Security
This paper studies the integration off Large Language Models into cybersecurity tools and protocols. The main issue discussed in this paper is how traditional rule-based and signature based security systems are not enough to deal with modern AI powered cyber threats. Cybersecurity industry is...
cybersec-ids
cybersec-ids Full-stack AI-driven Web App Intrusion Detection...
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...
EUVD-2000-0556
Malware in sbrugna...
EUVD-1999-0584
Malware in sbrugna...
EUVD-2016-6259
Malware in sbrugna...