Multi-Class, Multi-Tier Network Intrusion Detection: A Comprehensive and Reproducible Benchmark

Machine learning ML and deep learning DL have dominated Intrusion Detection System IDS research in recent years. Unfortunately, many existing studies have produced inflated results and unreliable benchmarks due to critical oversights and mistakes in the ML and DL pipeline, from data collection an...

Topological Signatures of Cyber-Attack Classes in Natural Visibility Graph Representations of Network Traffic

Natural Visibility Graph NVG-based representations provide a promising approach for capturing structural patterns in sequential network traffic. However, whether different cyber-attack classes exhibit distinctive topological signatures in such representations remains insufficiently understood. Th...

A Feature-Rich Embedded NIDS with EBPF/XDP: Detector and Architecture Trade-Offs

Distributed Denial-of-Service DDoS attacks remain a serious threat to transport networks, with recent attack volumes exceeding 30 Tbps, and the telecommunications industry being the main target. Recent work has yet to study the impact of the hosting software architecture on network monitoring...

Few-Shot Learning for Network Intrusion Detection: Methods, Datasets, and Performance

Anomaly-based network intrusion detection systems NIDS are an important first line of defense. However, training NIDS for new attack types is challenging, because labeled attack data are rarely available. Few-shot learning FSL addresses this problem by learning from few samples. However, the...

A Calibrated and Explainable Bimodal Machine Learning Framework for Hybrid Intrusion Detection

Modern communication systems face critical gaps in detecting unknown attacks and rare threat classes due to extreme data imbalance and black-box decision logic. We propose a bimodal framework of calibrated and explainable machine learning ML for network security, unifying known-class precision wi...

Dueling Deep Q-Learning for Intrusion Detection

Intrusion detection systems IDS and automated systems for detecting and reporting cyber threats, are commonly handled via supervised machine learning methods. Though effective, these models struggle to effectively adapt to new attack types. This study proposes a novel approach by employing a...

Enhanced Multi-Class DDoS Attack Identification Using a Meta-Learning Ensemble

Distributed Denial of Service DDoS attacks continue to pose significant threats to network availability and security. While many detection systems focus on binary classification attack vs. benign, effective mitigation often requires identifying the specific type of DDoS attack. This paper...

Hybrid Topological Data Analysis and LSTM Networks for Enhanced Network Intrusion Detection Using CIC-IDS2017 Dataset

Network intrusion detection systems NIDS are crucial in cybersecurity infrastructure, needing advanced techniques to detect hostile activity in network traffic. This research introduces a hybrid approach that combines Topological Data Analysis TDA with Long Short-Term Memory LSTM networks to...

Detecting Cybersecurity Threats by Integrating Explainable AI with SHAP Interpretability and Strategic Data Sampling

The critical need for transparent and trustworthy machine learning in cybersecurity operations drives the development of this integrated Explainable AI XAI framework. Our methodology addresses three fundamental challenges in deploying AI for threat detection: handling massive datasets through...

PenTiDef: Enhancing Privacy and Robustness in Decentralized Federated Intrusion Detection Systems against Poisoning Attacks

The increasing deployment of Federated Learning FL in Intrusion Detection Systems IDS introduces new challenges related to data privacy, centralized coordination, and susceptibility to poisoning attacks. While significant research has focused on protecting traditional FL-IDS with centralized...

CVE-2023-29930

An issue was found in Genesys CIC Polycom phone provisioning TFTP Server all version allows a remote attacker to execute arbitrary code via the login crednetials to the TFTP server configuration page...

AI-Powered Hybrid Intrusion Detection Framework for Cloud Security Using Novel Metaheuristic Optimization

Cybersecurity poses considerable problems to Cloud Computing CC, especially regarding Intrusion Detection Systems IDSs, facing difficulties with skewed datasets and suboptimal classification model performance. This study presents the Hybrid Intrusion Detection System HyIDS, an innovative IDS that...

MeLeMaD: Adaptive Malware Detection Via Chunk-Wise Feature Selection and Meta-Learning

Confronting the substantial challenges of malware detection in cybersecurity necessitates solutions that are both robust and adaptable to the ever-evolving threat environment. The paper introduces Meta Learning Malware Detection MeLeMaD, a novel framework leveraging the adaptability and...

Evaluating MCC for Low-Frequency Cyberattack Detection in Imbalanced Intrusion Detection Data

In many real-world network environments, several types of cyberattacks occur at very low rates compared to benign traffic, making them difficult for intrusion detection systems IDS to detect reliably. This imbalance causes traditional evaluation metrics, such as accuracy, to often overstate model...

EUVD-2025-28812

Malicious code in bioql PyPI...

CVE-2025-9097: Improper Export of Android Application Components

A vulnerability was found in Euro Information CIC banque et compte en ligne App 12.56.0 on Android. Affected by this vulnerability is an unknown functionality of the file AndroidManifest.xml of the component com.cicprod.bad. The manipulation leads to improper export of android application...

CVE-2023-29930

An issue was found in Genesys CIC Polycom phone provisioning TFTP Server all version allows a remote attacker to execute arbitrary code via the login crednetials to the TFTP server configuration page...

Code injection

An issue was found in Genesys CIC Polycom phone provisioning TFTP Server all version allows a remote attacker to execute arbitrary code via the login crednetials to the TFTP server configuration page...

CVE-2023-29930

An issue was found in Genesys CIC Polycom phone provisioning TFTP Server all version allows a remote attacker to execute arbitrary code via the login crednetials to the TFTP server configuration page...

CVE-2023-29930

Genesys CIC Polycom phone provisioning TFTP Server is affected (all versions) per CVE-2023-29930. The vulnerability allegedly allows remote code execution through login credentials to the TFTP server configuration page. The Connected documents corroborate the issue description but do not provide ...