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Federated learning-based cyber threat hunting for APT attack detection in SDN-enabled networks

Threat hunting is the action of seeking harmful actors lurking in the network or the system in the early stage with the assumption of…

Federated Intrusion Detection on Non-IID Data for IIoT networks using Generative Adversarial Networks and Reinforcement Learning

Federated learning has become the promising approach for building collaborative intrusion detection systems (IDS) as providing privacy guaranteeing among data holders. Nevertheless, the non-independent…

A case study for evaluating learners’ behaviors from online cybersecurity training platform on digital forensics subject

Virtual cybersecurity training platforms play an important role in developing the knowledge and practice skills for students in educational institution and universities. It helps…

Intrusion Detection with Big Data Analysis in SDN-enabled Networks

Although Software-defined networking (SDN) is a promising architecture that simplifies network management and control, it also faces security problems that may affect the whole…

Gather Android application information on Google Play for machine learning based security analysis

Detect Repackaged Android Applications by Using Representative Graphs

An Approach for Service Function Chain Orchestration in Combination with SDN-Based Network

FedChain: A Collaborative Framework for Building Artificial Intelligence Models Using Blockchain and Federated Learning

Federated Learning-Based Intrusion Detection in SDN-enabled IIoT Networks