BLOCKCHAIN ENABLED DECENTRALIZED EDGE COMPUTING IN CYBER SECURITY FOR INTRUSION DETECTION by Abdul Razzak Khan Qureshi Publication date 2024-01-15 Topics Blockchain, Edge Computing, Cybersecurity, ...

Network security is the main issue in the Internet of Things networks because most manufacturers do not focus on security standards during design. The performance of firewalls, intrusion prevention ...

Delegating the detection process to an algorithm allowed us to save precious hours, preserving data journalists’ time for high added-value tasks such as fact-checking. “The passport identification ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...

This IoT system includes different actuators, interconnected sensors, and network-enabled devices that exchange various data through private networks and the Internet infrastructure. The intrusion ...

This project utilizes machine learning techniques to build a robust malware detection system capable of analyzing files to identify various types of malware. By leveraging both static and dynamic ...

Given the problem that the existing series arc fault identification methods use existing features such as the time-frequency domain of the current signal as the basis for identification, resulting in ...

This project implements an Intrusion Detection System (IDS) using machine learning techniques. It aims to detect and classify network intrusions or anomalous activities in a computer network. The IDS ...