Intrusion-Alert-Educational-Network-IDS

🛡️ Intrusion-Alert-Educational-Network-IDS A lightweight Intrusion Detection System IDS built with Python to monitor network traffic and detect potential DoS/DDoS attacks based on request rate per IP. 📌 Features 📡 Real-time packet sniffing using Scapy 📊 Tracks number of requests per IP address 🚨...

dns_amplification_scanner

DNS Amplification DDoS Detection and Verification Tool This script is designed to identify and verify potential DNS servers vulnerable to exploitation in DNS amplification distributed denial-of-service DDoS attacks. It addresses the limitations of automated vulnerability scanners like Nessus, whi...

fastnetmon

Edición Comunidad FastNetMon - Un detector/sensor DDoS de alto rendimiento construido sobre múltiples motores de captura de paquetes: NetFlow, IPFIX, sFlow, AFPACKET puerto espejo. ¿Qué hacemos? Detectamos hosts en la red desplegada que envían o reciben grandes volúmenes de tráfico,...

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...

A Deployment-Oriented and Resource-Efficient Neuro-Symbolic Framework for Explainable DDoS Detection in Operational Technology Networks

Operational technology OT environments, including programmable logic controllers PLCs, industrial control systems ICS, and supervisory control and data acquisition SCADA systems, are increasingly targeted by distributed denial-of-service DDoS attacks. This paper presents a neuro-symbolic framewor...

When Time Meets Space: Entropy Integration and Dynamic Threshold for Adaptive DDoS Detection in SDN

Entropy-based Distributed Denial of Service DDoS detection in Software-Defined Networking SDN commonly relies on spatial traffic distributions and static or loosely adaptive thresholds, making it vulnerable to legitimate traffic fluctuations in Internet of Things IoT environments. This paper...

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...

A Transformer-Based Approach for DDoS Attack Detection in IoT Networks

DDoS attacks have become a major threat to the security of IoT devices and can cause severe damage to the network infrastructure. IoT devices suffer from the inherent problem of resource constraints and are therefore susceptible to such resource-exhausting attacks. Traditional methods for detecti...

Optimizing DDoS Detection in SDNs through Machine Learning Models

The emergence of Software-Defined Networking SDN has changed the network structure by separating the control plane from the data plane. However, this innovation has also increased susceptibility to DDoS attacks. Existing detection techniques are often ineffective due to data imbalance and accurac...

MULTI-LF: a Unified Continuous Learning Framework for Real-Time DDoS Detection in Multi-Environment Networks

Detecting Distributed Denial of Service DDoS attacks in Multi-Environment M-En networks presents significant challenges due to diverse malicious traffic patterns and the evolving nature of cyber threats. Existing AI-based detection systems struggle to adapt to new attack strategies and lack...

JA4+ - Suite Of Network Fingerprinting Standards

JA4+ is a suite of network Fingerprinting methods that are easy to use and easy to share. These methods are both human and machine readable to facilitate more effective threat-hunting and analysis. The use-cases for these fingerprints include scanning for threat actors, malware detection, session...

Fedora: Security Advisory for fastnetmon (FEDORA-2022-18023b665f)

The remote host is missing an update for the Copyright C 2022 Greenbone Networks GmbH Some text descriptions might be excerpted from a referenced sources, and are Copyright C by the respective right holders. SPDX-License-Identifier: GPL-2.0-or-later This program is free software; you can...

[SECURITY] Fedora 37 Update: fastnetmon-1.2.1-4.20220528git420e7b8.fc37

DDoS detection tool with sFlow, Netflow, IPFIX and port mirror support...

[SECURITY] Fedora 36 Update: fastnetmon-1.2.1-2.20220528git420e7b8.fc36

DDoS detection tool with sFlow, Netflow, IPFIX and port mirror support...

Fedora: Security Advisory for fastnetmon (FEDORA-2022-5d37367673)

The remote host is missing an update for the Copyright C 2022 Greenbone Networks GmbH Some text descriptions might be excerpted from a referenced sources, and are Copyright C by the respective right holders. SPDX-License-Identifier: GPL-2.0-or-later This program is free software; you can...

Security update for cacti, cacti-spine (important)

openSUSE Security Update: Security update for cacti, cacti-spine Announcement ID: openSUSE-SU-2021:0787-1 Rating: important References: 1180804 Cross-References: CVE-2020-35701 CVSS scores: CVE-2020-35701 NVD : 8.8 CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H Affected Products: openSUSE Backports...

Security update for cacti, cacti-spine (important)

openSUSE Security Update: Security update for cacti, cacti-spine Announcement ID: openSUSE-SU-2021:0755-1 Rating: important References: 1180804 Cross-References: CVE-2020-35701 CVSS scores: CVE-2020-35701 NVD : 8.8 CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H Affected Products: openSUSE Leap 15.2...

Artificial Inteligent Packet Inspection Engine: AIEngine

AIEngine is a next generation interactive/programmable Python/Ruby/Java packet inspection engine with capabilities of learning without any human intervention, NIDS Network Intrusion Detection System functionality, DNS domain classification, network collector, network forensics and many others...