Intrusion Detection Systems (IDS) and anomaly detection techniques underpin modern cybersecurity by autonomously monitoring network activities and flagging deviations from normal behaviour. IDS are ...
Overview: AI-powered cloud security tools use machine learning and automation to detect threats faster than traditional methods.These tools help organizations r ...
As organizations continue to move their systems to the cloud, they face a tough question: How do you keep an eye on ...
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Dr. Karthik Kambhampati: Building the future of secure cloud systems with artificial intelligence
As digital ecosystems expand across industries, so does the threat surface they expose. For Dr. Karthik Kambhampati, a ...
Anomaly detection is the process of identifying events or patterns that differ from expected behavior. Anomaly detection can range from simple outlier detection to complex machine learning algorithms ...
That challenge is examined in the study Towards Eco-Friendly Cybersecurity: Machine Learning-Based Anomaly Detection with ...
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Secure data warehousing in ERP environments: An AI-based multimodal threat detection framework by Emmanuel Philip Nittala
In an era where data has become one of the most valuable assets for organizations, protecting that data is a strategic ...
Bernice Asantewaa Kyere on modeling that immediately caught my attention. The paper titled “A Critical Examination of Transformational Leadership in Implementing Flipped Classrooms for Mathematics ...
Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...
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