SAGE: Sample-Aware Guarding Engine for Robust Intrusion Detection against Adversarial Attacks

The rapid proliferation of the Internet of Things IoT continues to expose critical security vulnerabilities, necessitating the development of efficient and robust intrusion detection systems IDS. Machine learning-based intrusion detection systems ML-IDS have significantly improved threat detectio...

RLSA-2025:14573 Important: aide security update

Advanced Intrusion Detection Environment AIDE is a utility that creates a database of files on the system, and then uses that database to ensure file integrity and detect system intrusions. Security Fixes: aide: improper output neutralization enables bypassing CVE-2025-54389 For more details abou...

Contrastive Self-Supervised Network Intrusion Detection Using Augmented Negative Pairs

Network intrusion detection remains a critical challenge in cybersecurity. While supervised machine learning models achieve state-of-the-art performance, their reliance on large labelled datasets makes them impractical for many real-world applications. Anomaly detection methods, which train...

OESA-2025-2112 aide security update

Security Fixes: A vulnerability was found in AIDE up to 0.19.1 and classified as problematic.Using CWE to declare the problem leads to CWE-117. The product does not neutralize or incorrectly neutralizes output that is written to logs.Impacted is integrity.Upgrading to version 0.19.2 eliminates th...

A Transformer-BiGRU-Based Framework with Data Augmentation and Confident Learning for Network Intrusion Detection

In today's fast-paced digital communication, the surge in network traffic data and frequency demands robust and precise network intrusion solutions. Conventional machine learning methods struggle to grapple with complex patterns within the vast network intrusion datasets, which suffer from data...

What Is Cybersecurity in Space?

Satellites, drones, and 5G space links now support critical services such as air traffic, finance, and weather. Yet most were not built to resist modern cyber threats. Ground stations can be breached, GPS jammed, and supply chains compromised, while no shared list of vulnerabilities or safe testi...

A Quantum Genetic Algorithm-Enhanced Self-Supervised Intrusion Detection System for Wireless Sensor Networks in the Internet of Things

The rapid expansion of the Internet of Things IoT and Wireless Sensor Networks WSNs has significantly increased the attack surface of such systems, making them vulnerable to a wide range of cyber threats. Traditional Intrusion Detection Systems IDS often fail to meet the stringent requirements of...

Quantum Machine Learning for UAV Swarm Intrusion Detection

Intrusion detection in unmanned-aerial-vehicle UAV swarms is complicated by high mobility, non-stationary traffic, and severe class imbalance. Leveraging a 120 k-flow simulation corpus that covers five attack types, we benchmark three quantum-machine-learning QML approaches - quantum kernels,...

Alibaba Cloud Linux 3 : 0148: aide (ALINUX3-SA-2025:0148)

The remote Alibaba Cloud Linux 3 host has packages installed that are affected by a vulnerability as referenced in the ALINUX3-SA-2025:0148 advisory. Package updates are available for Alibaba Cloud Linux 3 that fix the following vulnerabilities: CVE-2025-54389: AIDE is an advanced intrusion...

An Intrusion Detection System in Internet of Things Using Grasshopper Optimization Algorithm and Machine Learning Algorithms

The Internet of Things IoT has emerged as a foundational paradigm supporting a range of applications, including healthcare, education, agriculture, smart homes, and, more recently, enterprise systems. However, significant advancements in IoT networks have been impeded by security vulnerabilities...

CITADEL: Continual Anomaly Detection for Enhanced Learning in IoT Intrusion Detection

The Internet of Things IoT, with its high degree of interconnectivity and limited computational resources, is particularly vulnerable to a wide range of cyber threats. Intrusion detection systems IDS have been extensively studied to enhance IoT security, and machine learning-based IDS ML-IDS show...

ALSA-2025:14573 Important: aide security update

Advanced Intrusion Detection Environment AIDE is a utility that creates a database of files on the system, and then uses that database to ensure file integrity and detect system intrusions. Security Fixes: aide: improper output neutralization enables bypassing CVE-2025-54389 For more details abou...

Security-As-A-Function for IDS/IPS in Softwarized Network and Applications to 5G Network Systems

The service-based architecture of 5G network allows network operators to place virtualized network functions on commodity hardware, unlike the traditional vendor-specific hardware-based functionalities. However, it expands the security vulnerabilities and threats to the 5G network. While there...

DDoS Attacks in Cloud Computing: Detection and Prevention

DDoS attacks are one of the most prevalent and harmful cybersecurity threats faced by organizations and individuals today. In recent years, the complexity and frequency of DDoS attacks have increased significantly, making it challenging to detect and mitigate them effectively. The study analyzes...

A Robust Cross-Domain IDS Using BiGRU-LSTM-Attention for Medical and Industrial IoT Security

The increased Internet of Medical Things IoMT and the Industrial Internet of Things IIoT interconnectivity has introduced complex cybersecurity challenges, exposing sensitive data, patient safety, and industrial operations to advanced cyber threats. To mitigate these risks, this paper introduces ...

CVE-2025-54409

A flaw was found in AIDE. This vulnerability allows an attacker to crash the program during report printing or database listing after setting extended file attributes with an empty attribute value or with a key containing a comma. A local user can exploit this issue to cause a local denial of...

CVE-2025-20217 Cisco Firepower Threat Defense Intrusion Detection Denial of Service Vulnerability

A vulnerability in the packet inspection functionality of the Snort 3 Detection Engine of Cisco Secure Firewall Threat Defense FTD Software could allow an unauthenticated, remote attacker to cause a denial of service DoS condition on an affected device. This vulnerability is due to incorrect...

CVE-2025-20217 Cisco Firepower Threat Defense Intrusion Detection Denial of Service Vulnerability

A vulnerability in the packet inspection functionality of the Snort 3 Detection Engine of Cisco Secure Firewall Threat Defense FTD Software could allow an unauthenticated, remote attacker to cause a denial of service DoS condition on an affected device. This vulnerability is due to incorrect...

AZL-66297 CVE-2025-54389 affecting package aide for versions less than 0.18.6-2

AIDE is an advanced intrusion detection environment. Prior to version 0.19.2, there is an improper output neutralization vulnerability in AIDE. An attacker can craft a malicious filename by including terminal escape sequences to hide the addition or removal of the file from the report and/or tamp...

CVE-2025-54389 AIDE improper output neutralization vulnerability

AIDE is an advanced intrusion detection environment. Prior to version 0.19.2, there is an improper output neutralization vulnerability in AIDE. An attacker can craft a malicious filename by including terminal escape sequences to hide the addition or removal of the file from the report and/or tamp...