News
Budoen, A. , Zhang, M. and Jr., L. (2025) A Comparative Study of Ensemble Learning Techniques and Classification Models to Identify Phishing Websites. Open Access Library Journal, 12, 1-22. doi: ...
AI technologies enable financial institutions to enhance financial crime detection, optimize resources and ensure compliance.
In an era of digitization, where data serves as the new gold, the cybersecurity landscape continues to evolve rapidly. Each week brings a slew of new vulnerabilities, exploits, and countermeasures, ...
6d
Due on MSNThe Role of Banks in Preventing FraudUnusual activity detected in your account. Immediately open this link to verify your identity.” You’re on the verge of ...
Master cybersecurity in 2025. Learn about AI-powered threats, zero-trust security, quantum-safe encryption, and practical ...
We are on the precipice of an unprecedented shift that is reshaping the cybersecurity industry and how organisations tread through the digital landscape. By Morné Louwrens, MD: advisory at Marsh ...
In its State of AI Cybersecurity 2025 report, AI cybersecurity vendor Darktrace asked 1,500 cybersecurity IT professionals ...
That is why the need for Machine Learning ... or dynamic analysis, afterward we can apply dissimilar ML techniques to identify whether it's malware or not. Behavioral based Detection methods [4] will ...
AlphaEvolve uses large language models to find new algorithms that outperform the ... Google DeepMind claims the company has been using this new software across all of its data centers for more ...
The paper aims to assess the efficiency of machine-learning techniques in augmenting the detection and identification of Android malware. A comprehensive framework is proposed which relies on the use ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results