Australia's enterprise sector faces rising risks from AI-driven identity attacks. Learn what Australian challenged ...

Artificial intelligence (AI) has become a foundational technology in the development of autonomous vehicles (Garikapati Shetiya, 2024), enabling these systems to perceive their environment, make ...

Vensure reduced security data costs by $250K annually while improving threat detection through AI-powered log filtering ...

A practical review of explainable AI examines how transparency and interpretability improve trust in high-stakes ...

Spread the love“`html As the world continues to evolve in the digital landscape, the need for robust cybersecurity tools has never been more pressing. In 2026, enterprise cybersecurity budgets are ...

The global alarm management system market is entering a new stage of expansion as industries increasingly prioritize ...

Abstract: In recent years, advanced threat attacks are increasing, but the traditional network intrusion detection system based on feature filtering has some drawbacks which make it difficult to find ...

A new study published in Frontiers in Computer Science introduces a decentralized cybersecurity model that combines federated learning and blockchain to enable secure, transparent, and collaborative ...

This is an accepted paper at the 10th International Conference on Machine Learning and Computing (ICMLC) in Macau, China on February 26-28, 2018. The full paper on this project may be read at ...

With Internet of Things (IoT) devices projected to surpass tens of billions globally, traditional rule-based security systems are struggling to cope with the scale, diversity, and dynamic nature of ...

In this study, we present a detailed analysis of deep learning techniques for intrusion detection. Specifically, we analyze seven deep learning models, including, deep neural networks, recurrent ...

This project implements an Intrusion Detection System using machine learning algorithms to detect malicious network activities. It analyzes network traffic patterns, packet headers, and flow data to ...