wireless-ids

Wireless IDS Intrusion Detection System Wireless IDS is an open source tool written in Python and work on Linux environment. This tool will sniff your surrounding air traffic for suspicious activities such as WEP/WPA/WPS attacking packets. It do the following Detect mass deauthentication sent to...

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 🚨...

A Resource-Aware Behavior Reconstruction and Hierarchical Semantic Learning Framework for Host Intrusion Detection

System calls syscalls record key interactions between running programs and the operating system kernel, providing fine-grained and minimally intrusive data for host-based intrusion detection systems HIDS deployed in cloud and other modern computing environments. However, existing methods often...

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...

CVE-2026-76682

A vulnerability in the network security monitoring component of intrusion detection systems could allow an unauthenticated remote attacker to exploit a limited buffer overflow. Successful exploitation could allow an attacker to cause a denial-of-service or potentially execute arbitrary code on th...

EUVD-2026-79208

A vulnerability in the network security monitoring component of intrusion detection systems could allow an unauthenticated remote attacker to exploit a limited buffer overflow. Successful exploitation could allow an attacker to cause a denial-of-service or potentially execute arbitrary code on th...

Traffic-Aware Randomized Smoothing for LLM-Based Network Intrusion Detection

Large language model LLM-based intrusion detection systems IDS are increasingly studied for security monitoring, yet their robustness against feasible traffic manipulation remains largely empirical. We present Traffic-Aware Randomized Smoothing TA-RS, a classifier-agnostic certified defense that...

CAN We Trust Your Results? A Cross-Dataset Study of Automotive IDS Evaluation

The increasing connectivity of modern vehicles has made securing in-vehicle communication networks a critical challenge. Intrusion Detection Systems IDS have been widely studied as a defense mechanism for detecting malicious activities on the Controller Area Network CAN bus. However, the evaluati...

PLAA: Packet-Level Adversarial Attacks in Network Traffic Detection

Deep neural networks DNNs are widely applied in Network-based Intrusion Detection System NIDS due to their high accuracy. However, DNNs are highly susceptible to adversarial attacks, which generate malicious traffic to evade NIDS detection. Existing approaches often adapt adversarial attacks from...

FlowGuard: Flow Matching for Identity-Independent Detection of Data-Free Model Stealing Attacks on Energy System Intrusion Detection Systems

Artificial Intelligence AI-based Intrusion Detection Systems IDS deployed in energy infrastructure are vulnerable to model theft attacks, which allow adversaries to create evasive traffic offline. Current defences against model extraction rely either on identity-bound query monitoring, which is...

Stabilising Explainability Fragility in Cybersecurity AI: The Impact and Mitigation of Multicollinearity in Public Benchmark Datasets

This paper investigates a unexplored yet impactful vulnerability in AI explainability used in intrusion detection IDS: multicollinearity-induced instability. Despite extensive reliance on post-hoc explainability tools such as SHAP or LIME, the impact of correlated features on explanation robustne...

On-Device Interpretable Tsetlin Machine-Based Intrusion Detection for Secure IoMT

The rapid evolution of digital health technologies is redefining healthcare services worldwide. The integration of wireless communication and Internet-enabled medical devices within Internet of Medical Things IoMT networks enables continuous, real-time patient monitoring. However, this increased...

The vulnerability of the print_hex_string() function in the Wazuh intrusion detection and prevention system allows a perpetrator to execute arbitrary code.

The vulnerability of the printhexstring function in the Wazuh intrusion detection and prevention system is related to buffer overflow in the stack. Exploiting this vulnerability could allow a remote attacker to execute arbitrary code...

Zero Day Attacks: Novel Behaviour or Novel Vulnerability?

Zero-day attacks pose severe cybersecurity risks due to their high success rates and stealth. Because signature-based approaches struggle to detect such attacks, building Intrusion Detection Systems IDSs for detecting zero-day attacks is essential. We contend that for an IDS to be effective it mu...

The vulnerability of the Suricata intrusion detection and prevention system, due to uncontrolled resource consumption, allows an intruder to trigger a service failure.

The vulnerability of the Suricata intrusion detection and prevention system is related to an uncontrolled consumption of resources. Exploiting this vulnerability could allow a malicious actor, operating remotely, to cause service interruptions...

FIRCE: A Framework for Intrusion Response and Conformal Evaluation

Machine learning-based intrusion detection systems deployed in real-world environments frequently suffer from model degradation due to concept drift, where changes in traffic patterns invalidate training assumptions. To address this, we present FIRCE, a Framework for Intrusion Response and...

simple-ids

Simple IDS - Intrusion Detection System !License: MIThttp...

Exploit for Improper Handling of Exceptional Conditions in Apache Struts

Attacker Lab: CVE-2017-5638 & CVE-2021-41773 A 7-host Docker-...

CVE-2026-31933

A flaw was found in Suricata, a network Intrusion Detection System IDS, Intrusion Prevention System IPS, and Network Security Monitoring NSM engine. A remote attacker can exploit this vulnerability by sending specially crafted network traffic. This can cause Suricata to slow down significantly,...

CVE-2026-31937

Suricata is a network IDS, IPS and NSM engine. Prior to version 7.0.15, inefficiency in DCERPC buffering can lead to a performance degradation. This issue has been patched in version 7.0.15...