An online auction is an auction as similar to an in-person auction but it is held over the Internet. It is an easy and a popular way to buy and sell products and services using cryptocurrency. Online auctions have gro...
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This study explores how advanced technology has revolutionized the use of drones for forest fire surveillance. This research study explores the historical development of Unmanned Aerial Vehicles (UAVs) in forest monit...
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The decision of what career to pursue after graduation is one of the most important one for every student because it affects the growth and development of their future. Due to many uncertainties while picking a career...
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A current hot topic in computer vision is action recognition in videos, particularly for the detection of aggression. The complexity of the 2D + t data produced by the proliferation of videos by a security camera or t...
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This work proposes an on-tree coconut maturity estimation and age prediction application using machine vision. It is an Android application made using Flutter that can be used to estimate the maturity of the coconut i...
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The identification of health-related issues without invasive testing constitutes a pivotal facet of medical research and technological advancement. This paper attempts to establish a very efficient and precise means o...
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Warehouses and product showrooms need competent strategies for ensuring that the products are accessible on demand. Optimization of inventory levels and efficient management can be implemented using machine learning a...
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The current education system emphasizes research work and publications, urging students and faculty to actively engage in academic activities like workshops, seminars, symposium, and conferences. However, the lack of ...
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In the context of Disaster Resilience Systems(DRS), where data integrity and availability are paramount, cloud storage plays a crucial role. However, security concerns persist, necessitating innovative approaches. In ...
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ISBN:
(数字)9798350384246
ISBN:
(纸本)9798350384253
In the context of Disaster Resilience Systems(DRS), where data integrity and availability are paramount, cloud storage plays a crucial role. However, security concerns persist, necessitating innovative approaches. In the context of the DRS framework, this paper presents a novel Certificateless Multi-Replica Public Auditing Scheme designed for shared data in cloud storage. The suggested solution handles security concerns without adding to the workload associated with key escrow problems or certificate administration. This technique allows for secure user withdrawal from user group. It is shown that this scheme is secure against three various adversaries, defined in this paper, under common hardness assumptions by a thorough security study. Performance evaluations shows that this scheme is efficient and is also practical, positioning it as a viable solution for ensuring data integrity and availability in DRS.
An intrusion Detection system is a software that monitors the network traffic and alerts the administrators if any malicious request is found. The system is able to segregate between a malicious and non-malicious requ...
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ISBN:
(数字)9798350366846
ISBN:
(纸本)9798350366853
An intrusion Detection system is a software that monitors the network traffic and alerts the administrators if any malicious request is found. The system is able to segregate between a malicious and non-malicious request using two methods one is signature-based and the other is by training a machine learning model which is also called the Anomaly-based method. In this paper, we have achieved the highest accuracy from all existing models i.e., 99.99%. We have been able to increase the accuracy of ML models as a result of our proposed model, which is an ensemble of Random Forest, Decision tree, and KNN. Along with this, we have also applied a deep learning model ANN which has led to the effect. Since we have used four different datasets, our model is trained with a large number of datasets which has also contributed to high accuracy.
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