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An interpretable approach for trustworthy intrusion detection systems against adversarial network flow samples

IncWAD: An Incremental Learning Approach for Web Attack Detection Using MLOps

With the continuous growth of the internet and web applications, billions of websites built and available at our fingertips today lead more and more…

TrustFedHealth: Federated Learning with Homomorphic Encryption and Blockchain for Heart Disease Prediction in the Smart Healthcare

In recent years, the advancements in the Internet of Medical Things (IoMT) or smart devices have enabled the automatic monitoring of human health. Using…

A Multimodal Deep Learning Approach for Efficient Vulnerability Detection in Smart Contracts

An Accurate Platform for Investigating TCP Performance in Wi-Fi Networks

An increasing number of devices are connecting to the Internet via Wi-Fi networks, ranging from mobile phones to Internet of Things (IoT) devices. Moreover,…

Enhancing Blockchain Interoperability Through Sidechain Integration and Valid-Time-Key Data Access Control

Nowadays, in the realm of blockchain technology, a pressing challenge lies in the current lack of interoperability, which significantly limits its potential for innovation…

SDN-Based Cyber Deception Deployment for Proactive Defense Strategy Using Honey of Things and Cyber Threat Intelligence

FedLS: An Anti-poisoning Attack Mechanism for Federated Network Intrusion Detection Systems using Autoencoder-based Latent Space Representations

The recent explosion in the number and advancement of cyberattacks induces the deployment of machine learning (ML)-based network intrusion detection systems (NIDS) in the…

XFedGraph-Hunter: An Interpretable Federated Learning Framework for Hunting Advanced Persistent Threat in Provenance Graph

Advanced persistent threats (APT) are increasingly sophisticated and pose a significant threat to organizations' cybersecurity. Detecting APT attacks in a timely manner is crucial…