Zero-Day Botnet Attack Detection in IoV: a Modular Approach Using Isolation Forests and Particle Swarm Optimization

The Internet of Vehicles IoV is transforming transportation by enhancing connectivity and enabling autonomous driving. However, this increased interconnectivity introduces new security vulnerabilities. Bot malware and cyberattacks pose significant risks to Connected and Autonomous Vehicles CAVs, ...

Overlapping Data in Network Protocols: Bridging OS and NIDS Reassembly Gap

IPv4, IPv6, and TCP have a common mechanism allowing one to split an original data packet into several chunks. Such chunked packets may have overlapping data portions and, OS network stack implementations may reassemble these overlaps differently. A Network Intrusion Detection System NIDS that...

Simplified and Secure MCP Gateways for Enterprise AI Integration

The increased adoption of the Model Context Protocol MCP for AI Agents necessitates robust security for Enterprise integrations. This paper introduces the MCP Gateway to simplify self-hosted MCP server integration. The proposed architecture integrates security principles, authentication, intrusio...

Smart Water Security with AI and Blockchain-Enhanced Digital Twins

Water distribution systems in rural areas face serious challenges such as a lack of real-time monitoring, vulnerability to cyberattacks, and unreliable data handling. This paper presents an integrated framework that combines LoRaWAN-based data acquisition, a machine learning-driven Intrusion...

Cybersecurity for Autonomous Vehicles

The increasing adoption of autonomous vehicles is bringing a major shift in the automotive industry. However, as these vehicles become more connected, cybersecurity threats have emerged as a serious concern. Protecting the security and integrity of autonomous systems is essential to prevent...

A Collaborative Intrusion Detection System Using Snort IDS Nodes

Intrusion Detection Systems IDSs are integral to safeguarding networks by detecting and responding to threats from malicious traffic or compromised devices. However, standalone IDS deployments often fall short when addressing the increasing complexity and scale of modern cyberattacks. This paper...

Blockchain Meets Adaptive Honeypots: a Trust-Aware Approach to Next-Gen IoT Security

Edge computing-based Next-Generation Wireless Networks NGWN-IoT offer enhanced bandwidth capacity for large-scale service provisioning but remain vulnerable to evolving cyber threats. Existing intrusion detection and prevention methods provide limited security as adversaries continually adapt the...

FLARE: Feature-Based Lightweight Aggregation for Robust Evaluation of IoT Intrusion Detection

The proliferation of Internet of Things IoT devices has expanded the attack surface, necessitating efficient intrusion detection systems IDSs for network protection. This paper presents FLARE, a feature-based lightweight aggregation for robust evaluation of IoT intrusion detection to address the...

Application of Deep Reinforcement Learning for Intrusion Detection in Internet of Things: a Systematic Review

The Internet of Things IoT has significantly expanded the digital landscape, interconnecting an unprecedented array of devices, from home appliances to industrial equipment. This growth enhances functionality, e.g., automation, remote monitoring, and control, and introduces substantial security...

DYNAMITE: Dynamic Defense Selection for Enhancing Machine Learning-Based Intrusion Detection against Adversarial Attacks

The rapid proliferation of the Internet of Things IoT has introduced substantial security vulnerabilities, highlighting the need for robust Intrusion Detection Systems IDS. Machine learning-based intrusion detection systems ML-IDS have significantly improved threat detection capabilities; however...

Research on CNN-BiLSTM Network Traffic Anomaly Detection Model Based on MindSpore

With the widespread adoption of the Internet of Things IoT and Industrial IoT IIoT technologies, network architectures have become increasingly complex, and the volume of traffic has grown substantially. This evolution poses significant challenges to traditional security mechanisms, particularly ...

[SECURITY] Fedora 42 Update: suricata-7.0.10-1.fc42

The Suricata Engine is an Open Source Next Generation Intrusion Detection and Prevention Engine. This engine is not intended to just replace or emulate the existing tools in the industry, but will bring new ideas and technologies to the field. This new Engine supports Multi-threading, Automatic...

CVE-2025-29917

Suricata is a network Intrusion Detection System, Intrusion Prevention System and Network Security Monitoring engine. The bytes setting in the decodebase64 keyword is not properly limited. Due to this, signatures using the keyword and setting can cause large memory allocations of up to 4 GiB per...

CVE-2025-29918 Suricata pcre: negated pcr can cause infinite loop

Suricata is a network Intrusion Detection System, Intrusion Prevention System and Network Security Monitoring engine. A PCRE rule can be written that leads to an infinite loop when negated PCRE is used. Packet processing thread becomes stuck in infinite loop limiting visibility and availability i...

CVE-2025-29915

Suricata is a network Intrusion Detection System, Intrusion Prevention System and Network Security Monitoring engine. The AFPACKET defrag option is enabled by default and allows AFPACKET to re-assemble fragmented packets before reaching Suricata. However the default packet size in Suricata is bas...

CVE-2025-29915 Suricata af-packet: defrag option can lead to truncated packets affecting visibility

Suricata is a network Intrusion Detection System, Intrusion Prevention System and Network Security Monitoring engine. The AFPACKET defrag option is enabled by default and allows AFPACKET to re-assemble fragmented packets before reaching Suricata. However the default packet size in Suricata is bas...

CVE-2025-29915 Suricata af-packet: defrag option can lead to truncated packets affecting visibility

Suricata is a network Intrusion Detection System, Intrusion Prevention System and Network Security Monitoring engine. The AFPACKET defrag option is enabled by default and allows AFPACKET to re-assemble fragmented packets before reaching Suricata. However the default packet size in Suricata is bas...

The vulnerability of the Suricata intrusion detection and prevention system, due to insufficient validation of input data, allows attackers to bypass security restrictions and execute arbitrary codes.

The vulnerability of the Suricata intrusion detection and prevention system is related to insufficient validation of input data. Exploiting this vulnerability allows a remote attacker to bypass security restrictions and execute arbitrary code...

[SECURITY] Fedora 41 Update: suricata-7.0.10-1.fc41

The Suricata Engine is an Open Source Next Generation Intrusion Detection and Prevention Engine. This engine is not intended to just replace or emulate the existing tools in the industry, but will bring new ideas and technologies to the field. This new Engine supports Multi-threading, Automatic...

Debian dla-4103 : suricata - security update

The remote Debian 11 host has packages installed that are affected by multiple vulnerabilities as referenced in the dla-4103 advisory. - ------------------------------------------------------------------------- Debian LTS Advisory DLA-4103-1 [email protected]...