Article isn't published yet.

React Hooks: A Paradigm Shift in State Management and Side Effects

Publication Date : 27/08/2024


Author(s) :

Madhvi Singh.


Volume/Issue :
Volume 10
,
Issue 8
(08 - 2024)



Abstract :

Emphasises on the state hooks in react.


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0


Evaluating RSA Key Length: Impact on Security Hardness and Computational Efficiency

Publication Date : 27/08/2024


Author(s) :

Divya.


Volume/Issue :
Volume 10
,
Issue 8
(08 - 2024)



Abstract :

The research investigate the impact of key length of RSA on security and computational efficiency, using simulation we evaluate how key length ranging from 1024 to 4096 bits perform for encryption/decryption process and their resistance to factorization attacks. The findings reveal that longer key length enhances the security by increasing the complexity of factorization. But they also incur higher computational cost, also they can affect the time and resource utilization. The result suggest that 2048-bit keys offer good security to general application whereas 3072-bit or 4096 bit keys are recommend for high security environment . We discuss these findings in the context of emerging quantum computing threats and propose guidelines in key length selection for future cryptographic system.


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0


Article isn't published yet.

Customer Insight Towards UPI (Unified Payment Interface)

Publication Date : 13/08/2024


Author(s) :

Bhupesh Mehta.


Volume/Issue :
Volume 10
,
Issue 8
(08 - 2024)



Abstract :

This research paper aims to study the customer perception of the Unified Payment Interface (UPI) in India. The study analyzes the awareness level, satisfaction level, problems encountered, and duration to solve the problems of UPI users. The research concludes with aspects of awareness and adoption of UPI through comparison between gender, age, and occupational data of customers. The results of this study add to our knowledge about the acceptation of UPI and its usefulness in cashless and immediate transactions that influence young male customers who belong to service sectors.


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0


HUMAN LIE DETECTOR/POLYGRAPHY FORENSIC TEST OF EVIDENCE

Publication Date : 05/08/2024


Author(s) :

Y SAI MOHAN.


Volume/Issue :
Volume 10
,
Issue 8
(08 - 2024)



Abstract :

The human lie detector polygraphy forensic exam, often known as a polygraph test, is a routinely used instrument in forensic investigations to assess persons' honesty by monitoring physiological reactions. This summary offers an overview of the polygraph test's major aspects, its applicability in forensic situations, and its limits. This article explains how forensic polygraph assesses the relevance and constitutionality of the evidence. A polygraph is a device that detects changes in the body. Because most individuals, includes knowledgeable "lie catchers,' are unable to determine many techniques have been developed to help identify lies when someone is telling them. With the advent of science and technology, advanced means of lie detection have been created, removing the need for authorities to employ third-degree torture. The modern polygraph was invented in the early 1920s to record changes in a variety of physiological features, with equipment designed to record changes in breathing, cardiovascular activity, and sweat gland activity (forerunners to the present polygraph) arriving in the 1930s. Since then, the use of the polygraph as a 'lying detector' has been fraught with controversy, with supporters and detractors exchanging jabs based on incomplete facts and whole views. Polygraph exams are utilized in a variety of forensic settings, including criminal investigations, pre-employment screening, and security clearances. The polygraph's position in forensic investigations and its inherent controversies, implying a need for ongoing study and review to increase its reliability and acceptance within the legal system.


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Article isn't published yet.

Article isn't published yet.

Enhanced Analysis on Image Enrichment Methods

Publication Date : 26/07/2024


Author(s) :

Image processing; Image enrichment; Unsharp Masking; Nonlinear filtering.


Volume/Issue :
Volume 10
,
Issue 7
(07 - 2024)



Abstract :

The objective of Image enrichment is to process an image so that result is more suitable than original image for specific application. Digital image enrichment techniques provide a lot of choices for improving the visual quality of images. Appropriate choice of such techniques is very important. This paper will provide an overview and analysis of different techniques commonly used for image enhancement. Image enhancement plays a fundamental role in vision applications. Recently much work is completed in the field of images enhancement. Many techniques have previously been proposed up to now for enhancing the digital images. Image enrichment is the task of applying certain alterations to an input image like as to obtain a more visually pleasing image. Many images such as medical images, remote sensing images, electron microscopy images and even real life photographic pictures, suffer from poor contrast. Therefore it is necessary to enhance the contrast. The purpose of image enhancement methods is to increase image visibility and details. Two major classifications of image enhancement techniques are spatial domain enhancement and frequency domain enhancement. However, these techniques bring about tonal changes in the images. Number of enhancement techniques available for sketches are very few in comparison with the techniques available for images. The scope of enhancement in case of composite sketches and forensic sketches is left out. Therefore, it would have been better if an in-depth research work is undertaken.


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Optimizing Cost and Performance in MEAN Stack Applications with Cloud Auto-Scaling and Load Balancing

Publication Date : 24/07/2024


Author(s) :

Deepanshi Jain.


Volume/Issue :
Volume 10
,
Issue 7
(07 - 2024)



Abstract :

The rapid growth of web applications necessitates scalable solutions that optimize both cost and performance. This paper explores advanced strategies for implementing auto-scaling and load balancing in cloud services for MEAN (MongoDB, Express.js, Angular, Node.js) stack applications. Beyond traditional techniques, this research introduces novel, unrevealed ideas such as intelligent auto-scaling with predictive analytics, dynamic multi-cloud and hybrid cloud deployments, serverless microservices architectures, edge computing for latency reduction, and dynamic resource allocation with spot instances. By leveraging these innovative approaches, developers can achieve efficient resource management and enhanced application performance, providing a comprehensive framework for optimizing MEAN stack applications in modern cloud environments.


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0