This paper provides a thorough survey of strategies and innovations crucial for sustaining marine species. Examining challenges such as overfishing and pollution, it highlights the severe threats to marine biodiversit...
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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.
An open sore or crack on the foot of a person with diabetes is known as a diabetic foot ulcer. These ulcers could develop, inflame, and heal. Gangrene is an imminent threat that is exacerbated by an inadequate blood s...
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SPARK (Smart Problem-Solving and AI-Driven Resource Kit) aims to revolutionize programming education by offering personalized, AI-driven problem sets that adapt to each student's skill level. Unlike existing platf...
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This research introduces a novel strategy to improve learning outcomes by incorporating generative artificial intelligence (AI) into educational frameworks. Using sophisticated machine learning algorithms, GenAI analy...
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Investments are one of the major sources of income in one’s life. The usual question that arises is which category one should invest in. In the market, there are many investment options such as stocks, cryptocurrenci...
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Although agriculture is the backbone of the Indian economy, it faces numerous challenges to its sustainability, including soil degradation, pollution, and the impact of pollution from corporate enterprises, which pose...
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Every nation’s economy depends heavily on agriculture and India is recognised as an agro-based country. To produce healthy crops with free of disease is one of the primary goals of agriculture. In terms of income, co...
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Sentiment analysis is one of the technique which is also called as opinion mining referred with the utilisation of Natural Language Processing text analysis in order to identify the quality of text written in the publ...
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