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Research focuses on designing and implementing a cloud-based security system utilizing deep and machine learning optimization techniques. The system employs multiple real-time monitoring parameters and achieves high precision, a critical requirement in cloud computing design. Fraudsters often target cloud-based e-commerce and trade websites, making it essential to develop an accurate fraud detection system. Introduces deep learning mechanisms such as Fully Convolutional Neural Networks (FCNN), Convolutional Neural Networks (CNN), and machine learning methods like Support Vector Machine (SVM),…mehr

Produktbeschreibung
Research focuses on designing and implementing a cloud-based security system utilizing deep and machine learning optimization techniques. The system employs multiple real-time monitoring parameters and achieves high precision, a critical requirement in cloud computing design. Fraudsters often target cloud-based e-commerce and trade websites, making it essential to develop an accurate fraud detection system. Introduces deep learning mechanisms such as Fully Convolutional Neural Networks (FCNN), Convolutional Neural Networks (CNN), and machine learning methods like Support Vector Machine (SVM), Fuzzy logic, and Logistic Regression (LR). The advanced FCNN-GBML (Global Binary Multiclass Learning) methods effectively address the limitations of existing approaches, improving accuracy, decision rates, and reducing false alarm rates in the detection of cloud-based frauds.
Autorenporträt
Dr. G. Prasanthi, profesor asistente, Instituto de Ingeniería y Tecnología Gokaraju Rangaraju, Hyderabad, Telangana.Sr. N. Sridhar Babu, ingeniero de software, Telangana.Sr. Vinod Babu Polinati, profesor asistente, Facultad de Ingeniería para Mujeres Shri Vishnu, Bhimavaram.Dr. G. Srinivas Rao, profesor asociado de la Universidad GITAM Deemed, India.