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Your search keyword '"Kushwaha, Akhilesh"' showing total 2 results
Start Over Author "Kushwaha, Akhilesh"
2 results on '"Kushwaha, Akhilesh"'

1. Security threat analysis and countermeasure using ML in cloud.

Author

Kushwaha, Akhilesh, Patel, Warish, Koyuncu, Hakan, Parikh, Swapnil, and Chauhan, Ankit

Subjects
*ARTIFICIAL neural networks, *CONVOLUTIONAL neural networks, *DEEP learning, *RECURRENT neural networks, *DENIAL of service attacks, *SQL
Abstract

The rise of cyber-attacks such as Distributed Denial of Service (DDoS) and SQL injection has become a significant concern for organizations and individuals who rely on the internet. Traditional detection methods have become increasingly ineffective in addressing these challenges, necessitating the development of new and innovative solutions. This paper proposes using Convolutional Neural Networks (CNNs) to detect DDoS and SQL injection attacks. Our paper proposes a Convolutional Neural Network model with a multi-layer neural and relu activation function optimizer that reaches a higher degree of precision than previous Deep Learning models. In this study, we tested the relatively new dataset CIC-IDS-2018, which contains different types of attacks. With this dataset, our model achieves an unprecedented accuracy of>96%, minimizing computational time. [ABSTRACT FROM AUTHOR]

Published
2024
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2. A comprehensive experimental analysis for optimal flow configurations in a triple tube heat exchanger (TTHXr).

Author

Yadav, Devendra, Kushwaha, Akhilesh, Trivedee, Divakar, and Upadhyay, Zenis

Subjects
*HEAT exchangers, *ALUMINUM tubes, *COPPER tubes, *COUNTERFLOWS (Fluid dynamics), *FLUID flow, *HEAT transfer, *TUBES
Abstract

In this research, an effort has been made to design and construct a heat exchanger that enables the transfer of heat across three different fluids. This heat exchanger is made up of three tubes: an aluminum tube (innermost tube), a copper tube (intermediate tube), and a GI tube (Outer most tube), which are arranged at the innermost, intermediate, and outermost positions, respectively. The study's aim is to find the optimal fluid flow arrangement of NHN, CHN, and NHC in the TTHXr that will provide the highest performance to heat exchangers. The heat exchanger's performance is assessed for three distinct mass flow conditions of fluid streams; (i) m ̇ Al = const, m ̇ Cu = m ̇ GI (variation) (ii) m ̇ GI = m ̇ Cu = const, m ̇ Al (variation) (iii) m ̇ Al ≠ m ̇ Cu ≠ m ̇ GI (variation). Experiments were carried out using counter-flow fluid stream configurations with turbulence flow conditions of hot fluid to evaluate the effectiveness of the heat exchanger for maximum heat extraction from hot fluid streams. Variations in the flow of the outermost fluid stream were discovered to have a substantial impact on heat exchanger performance. The results revealed that the NHC flow configuration of fluid streams had the best performance when compared to other fluid flow arrangements. [ABSTRACT FROM AUTHOR]

Published
2022
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