The Cloud-Driven Robotics with Blue Brain Technology: Motion Translation, Privacy-Preserved API Control, and Ransomware Attack Detection
Blue Brain Technology
Keywords:
Cloud-driven robotics, Blue Brain technology, privacy-preserved API controlRemove privacy-preserved API controlAbstract
This research introduces a novel system combining cloud-driven robotics with Blue Brain technology to enhance ransomware detection, privacy-preserved API control, and motion translation. The system leverages neural network models and cloud computing for efficient processing of sensory inputs, enabling fluid motion in robotic activities. Advanced encryption techniques ensure data confidentiality, while a neural network-based model provides high accuracy in ransomware detection with minimal false positives. The use of edge computing for local data processing improves system dependability. Findings show that the framework excels in security, responsiveness, and motion efficiency, making it ideal for real-time robotic applications.
OBJECTIVES: The key objectives of this research are to improve ransomware detection and privacy-preserved API control in cloud robotics, enhance motion translation through Blue Brain technology, and incorporate edge computing to boost system reliability. The framework also aims to ensure real-time performance and data confidentiality in robotic operations.
METHODS: The system integrates neural network models with cloud computing for sensory input processing and motion translation. Advanced encryption techniques are used to secure data, and a neural network-based ransomware detection model is employed for identifying cyber threats. Edge computing is incorporated to handle local data processing, enhancing overall system reliability.
RESULTS: The proposed framework demonstrates high performance in detecting ransomware, achieving minimal false positives and improved security. Motion efficiency and system responsiveness are significantly enhanced through the fusion of cloud computing and Blue Brain technology. The use of edge computing further increases system dependability in real-time operations.
CONCLUSION: This innovative system provides a comprehensive solution for ransomware detection, motion efficiency, and security in cloud robotics. By combining Blue Brain technology, neural network models, and edge computing, the framework offers superior performance in real-time robotic applications, ensuring data confidentiality and improved operational efficiency.