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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…

A method of generating mutated Windows malware to evade ensemble learning

Recently, the application of machine learning (ML) in the field of cybersecurity, particularly in the detection and prevention of malware, has received significant attention…

A Deception and Continuous Training Approach for Web Attack Detection using Cyber Traps and MLOps

With the growth and expansion of the internet, web attacks have become more powerful and pose a significant threat in the cyber world. In…

A Consensus Protocol for Incentivizing Contribution from Decentralized Community for Machine Learning-based Scamming Website Detection

The increasing proliferation of phishing and scamming websites has become a significant threat to the safety and security of internet users. Accurately detecting such…

Investigating on the Robustness of Flow-based Intrusion Detection System against Adversarial Samples using Generative Adversarial Networks  

Recently, Software Defined Networking (SDN) has emerged as the key technology in programming and orchestrating security policy in the security operations centers (SOCs) for…

Leveraging Deep Reinforcement Learning for Automating Penetration Testing in Reconnaissance and Exploitation Phase

Penetration testing is one of the most common methods for assessing the security of a system, application, or network. Although there are different support…

A federated threat hunting system with big data analysis for SDN-enabled networks

Software-defined networking (SDN) is a potential approach for modern network architecture, which has received great attention recently. SDN-based networks also face security issues, and…