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Research Paper

From Risk to Resilience: Strengthening Cyber security in Financial Institutions

The study examines the escalating cyber threats facing financial institutions, particularly the surge in state-sponsored attacks and vulnerabilities exacerbated by the pandemic's shift to remote services. Notably, ransomware incidents have surged, and transnational crime groups now exploit specialized tools. Despite robust regulatory frameworks like GLBA, FFIEC, PCI-DSS, and NIST Cybersecurity, financial entities grapple with defending against evolving threats. The study emphasizes the imperative of prioritizing cyber resilience strategies and strict adherence to regulations. Advanced measures such as encryption, machine learning, and real-time monitoring are proposed to fortify security measures. It advocates for continuous staff training to enhance awareness and adherence to evolving cybersecurity practices. Moreover, the article underscores the significance of regular risk assessments for identifying vulnerabilities and ensuring timely updates to security measures against evolving threats. Collaboration among institutions is advocated to strengthen collective defenses, enabling a unified response to cyber incidents and bolstering the overall cybersecurity posture of the financial industry. In essence, the article highlights the necessity for financial institutions to proactively embrace comprehensive strategies that encompass resilience, regulatory compliance, technological advancements, and collaborative efforts to effectively combat escalating cyber threats.

Published by: Silvia Tsovwen Asakpa

Author: Silvia Tsovwen Asakpa

Paper ID: V9I6-1197

Paper Status: published

Published: December 6, 2023

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Research Paper

Convolutional Recurrent Neural Network Model for Question Answering Task

Question answering is a crucial task in natural language understanding, as it can be applied to a wide range of natural language processing challenges. Recurrent Neural Networks (RNNs) are commonly used as a baseline model for various sequence prediction tasks, including question answering. While RNNs excel at capturing global information over a long span of time, they may not effectively retain local information. To address this limitation, we propose a model that combines both recurrent and convolutional neural networks, allowing for end-to-end training using backpropagation. Our experiments on the bAbI dataset show that this model can significantly outperform the RNN model in question answering tasks.

Published by: Gelvesh G.

Author: Gelvesh G.

Paper ID: V9I6-1209

Paper Status: withdrawn

Submitted: December 6, 2023

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Research Paper

Numerical (CFD) studies in twisted square duct

CFD analysis of steady fully developed laminar flow inside twisted duct of square cross section flow area is studied for Re range of 100 - 2000. A commercially available software is used for the analysis. Twist ratio used are 2.5, 5, 10 and 20.Maximum average f.Re values were observed for a twist ratio of 2.5 and Re of 2000. It is observed that the average f.Re values are not constant rather are function of Re and twist ratio. Average f.Re values are correlated with swirl parameter. Local distribution of f.Re across a cross-section is further analysed. Comparison of average f.Re values of twisted square duct with straight square duct is also done. Keyword: Twisted duct, laminar flow, twist ratio, Periodic flow, swirl parameter.

Published by: Rambir Bhadouriya

Author: Rambir Bhadouriya

Paper ID: V9I6-1200

Paper Status: published

Published: December 5, 2023

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Research Paper

Experimental Studies in Plate Heat Exchanger

At present plate heat exchanger’s (PHE’s) are being used extensively in the chemical, process and allied industries due to their numerous advantages. Heat transfer and associated frictional pressure drop in PHE are investigated experimentally in this study. The applied PHE is 14 plate, 2 fluid and single pass-flow heat exchanger in which fluids flow in counter flow direction. Heat transfer and pressure drop data were obtained for water flow rates varying between 0.0168 kg/s to 0.3378 kg/s. In this flow range increasing flow rates from 0.0168kg/s to 0.3378 kg/s (Increase in Reynold number from 85 to 1640) caused an increase in the pressure drop from 88 Pa to 10957 Pa. Empirical correlations are proposed to correlate the present data for the heat transfer coefficient and friction factor in terms of Reynolds number and Prandtl number.

Published by: Rambir Bhadouriya

Author: Rambir Bhadouriya

Paper ID: V9I6-1201

Paper Status: published

Published: December 4, 2023

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Research Paper

Regional environmental assessment status of granite mining in Karimnagar districts

Granite is a minor mineral; it is a major contributor in foreign exchange earnings. India is the second largest exporter of raw granite after China and ahead of Brazil and South Africa. India ranked fifth in the export of processed (value added finished) product. Granite contributed 4.51% exports value of all ores and minerals in 2007-08. The exports value of granite was next to diamond and iron ore during 2007-08. (IMYB-2010). Telangana State is one of the important Granite producing states unique varieties are Jet black granite of Warangal and Khammam districts and Tan brown variety of Karimnagar district. Mining operations are Manual, Semi-Mechanised and Mechanised. Dimensional stone mining generates enormous waste, sometimes upto 75% to 85%. Land degradation is due to voids created by mining; Creation of external waste dumps, areas covered by site services, plant and colony etc.

Published by: Abbagoni Thirumalesh, A. Narsing Rao

Author: Abbagoni Thirumalesh

Paper ID: V9I6-1204

Paper Status: published

Published: December 1, 2023

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Review Paper

Fibonacci sequence in music

Music, with its harmonious melodies and rhythmic patterns, has the power to soothe the mind and delight the ear. Within the realm of Hindustani classical music, the core elements include raags, sargams, alaps, and tans, which have played a significant role in not only shaping my life but also in creating some of my happiest memories. For approximately six years, I have dedicated my time to studying various musical genres, with a specific focus on Hindustani classical music. I derive immense enjoyment from this passion, occasionally picking up the guitar and keyboard, and actively participating in my school's choir. However, music is much more than what meets the eye; it encompasses a broad spectrum of sounds, from the tinkling of chimes to the soothing rush of crashing waves.

Published by: Aarna Bhura

Author: Aarna Bhura

Paper ID: V9I6-1172

Paper Status: published

Published: December 1, 2023

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