Hybrid ResNet-1D-BiGRU with Multi-Head Attention for Cyberattack Detection in Industrial IoT Environments

This study introduces a hybrid deep learning model for intrusion detection in Industrial IoT IIoT systems, combining ResNet-1D, BiGRU, and Multi-Head Attention MHA for effective spatial-temporal feature extraction and attention-based feature weighting. To address class imbalance, SMOTE was applie...

SE-Enhanced ViT and BiLSTM-Based Intrusion Detection for Secure IIoT and IoMT Environments

With the rapid growth of interconnected devices in Industrial and Medical Internet of Things IIoT and MIoT ecosystems, ensuring timely and accurate detection of cyber threats has become a critical challenge. This study presents an advanced intrusion detection framework based on a hybrid...

NetSecBed: A Container-Native Testbed for Reproducible Cybersecurity Experimentation

Cybersecurity research increasingly depends on reproducible evidence, such as traffic traces, logs, and labeled datasets, yet most public datasets remain static and offer limited support for controlled re-execution and traceability, especially in heterogeneous multi-protocol environments. This...

Toward a Multi-Layer ML-Based Security Framework for Industrial IoT

The Industrial Internet of Things IIoT introduces significant security challenges as resource-constrained devices become increasingly integrated into critical industrial processes. Existing security approaches typically address threats at a single network layer, often relying on expensive hardwar...

Uncovering and Understanding FPR Manipulation Attack in Industrial IoT Networks

In the network security domain, due to practical issues -- including imbalanced data and heterogeneous legitimate network traffic -- adversarial attacks in machine learning-based NIDSs have been viewed as attack packets misclassified as benign. Due to this prevailing belief, the possibility of...

Apache StreamPipes 安全漏洞

Apache StreamPipes is a self-service industrial IoT toolkit from the Apache USA Foundation that enables non-technical users to connect, analyze and explore IIoT data streams. A security vulnerability exists in Apache StreamPipes version 0.97.0 and earlier, which stems from a flaw in the user ID...

RTI Connext Professional 安全漏洞

RTI Connext Professional is a connectivity platform from RTI USA designed to meet the demanding requirements of the Industrial Internet of Things IIoT. A security vulnerability exists in RTI Connext Professional versions 7. prior to 7.4.0 and 7.3.1 prior to 7.2.0 that stems from the potential...

EUVD-2020-3644

Malware in sbrugna...

EUVD-2020-3605

Malware in sbrugna...

EUVD-2020-24917

Malware in sbrugna...

EUVD-2021-21767

Malware in sbrugna...

EUVD-2020-3567

Malware in sbrugna...

EUVD-2019-11892

Malware in sbrugna...

EUVD-2021-21747

Malware in sbrugna...

EUVD-2020-3614

Malware in sbrugna...

EUVD-2021-17273

Malware in sbrugna...

EUVD-2021-7438

Malicious code in bioql PyPI...

EUVD-2022-30306

Malicious code in bioql PyPI...

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 ...

Bidirectional TLS Handshake Caching for Constrained Industrial IoT Scenarios

While TLS has become the de-facto standard for end-to-end security, its use to secure critical communication in evolving industrial IoT scenarios is severely limited by prevalent resource constraints of devices and networks. Most notably, the TLS handshake to establish secure connections incurs...