Machine Learning (ML) techniques, especially deep learning, are crucial to many
contemporary real world systems that use Computational Intelligence (CI) as their core …

Deep neural networks (DNN) are highly effective in a number of tasks related to machine
learning across different domains. It is quite challenging to apply the information gained to …

The evolution of ransomware from crypto-ransomware to sophisticated data theft
ransomware presents new challenges in cybersecurity. This study investigates the strategic …

This study introduces an advanced decoy file strategy utilizing Generative Adversarial
Networks (GANs) to combat data exfiltration ransomware threats. Focused on creating highly …

With the advancement of IT technology, intelligent devices such as autonomous vehicles,
unmanned equipment, and drones are rapidly evolving. Consequently, the proliferation of …

This research looks into the evolving dynamics of ransomware, shifting from conventional
encryption-based attacks to sophisticated data exfiltration strategies. Employing the …

Electronic devices in the 21st century have numerous network components, including
wireless or wired Internet access modules. Connecting devices to networks and cloud …

Integrating Ebola optimization search algorithm for enhanced deep learning-based ransomware
detection in Internet of Things secu Page 1 AIMS Mathematics, 9(3): 6784–6802. DOI …

The Internet of Things (IoT) denotes a networking system of interrelated equipment's that is
capable of gathering and interchanging information in the Internet system with no human …