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AI-Powered Intrusion Detection and Prevention System

AI-Powered Intrusion Detection and Prevention System Prof. Madhuri Bhaisare, Komal Khobragade, Mahima Khadipure, Bhumika Shende, Taufiq Ansari DOI : 10.46335/IJIES.2026.11.3.4 Abstract – Currently, there is an unprecedented growth of internet technologies and digital communication systems, which come with high cybersecurity risks, such as unauthorized access, malware infections, denial-of-service attacks, and data breaches. Classical security measures […]

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Time Series Analysis: Financial Engineering

Time Series Analysis: Financial Engineering Priya Tripathi , Suraj Bhanarkar, Rahul Gaherwar, Kartik Shrivas , Charan Pote DOI : 10.46335/IJIES.2023.8.6.13 Abstract – In a subscription business, the most valuable assets are customers. It is incredibly important to monitor and proactively manage the health of customer relationships and follow informed metrics for growth strategy. Successful subscription companies […]

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AI-Empowered Healthcare Insurance Fraud Detection Using Block chain

AI-Empowered Healthcare Insurance Fraud Detection Using Block chain Authors :  Gaurav Kumar Singh, Himanshu Kumar, Jafarullah Ansari , Mrs. M. Priyanga , Dr. M. Chandran DOI : 10.46335/IJIES.2025.10.7.15 Abstract – This project introduces an AI-empowered healthcare fraud detection system using blockchain for secure and transparent medical insurance claims. AI models detect anomalies, while blockchain ensures […]

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Performance and Computational Efficiency of Deep Learning Models for Anomaly Detection on the UCSD Dataset

Performance and Computational Efficiency of Deep Learning Models for Anomaly Detection on the UCSD Dataset Authors : Mrs. Sangita Mahendra Rajput , Prof. Dr Mangesh D Nikose DOI : 10.46335/IJIES.2025.10.7.10 Abstract – The emergence of deep learning models has significantly improved the accuracy of anomaly detection in surveillance, crowd analysis, and other real-world applications. However, […]

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