| 1 |
Author(s):
N.R.Vikram1 , K.Divya2, P.Prakash3 , S.Keerthika4 ,R.Manoj Kumar5.
Page No : 1-5
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SMART DEFENSES: MACHINE LEARNING-BASED PROACTIVE CYBER ATTACK DETECTION IN IOT SYSTEMS
Abstract
One quickly developing technology is the Internet of Things (IoT). Billions of smart objects (called "Things") have the ability to gather information about their surroundings and themselves because of a multitude of sensors. Thus, they could enhance commercial services and activities or control and oversee industrial services. But today more than ever, the Internet of Things is susceptible. The field of machine learning (ML) has made great strides, opening up new research directions to address present and future Internet of Things problems. However, machine learning is a useful technique for spotting danger in networks and intelligent devices. This study will evaluate multiple machine learning algorithms for threat detection and the various security measures related to machine learning techniques after a comprehensive literature review on machine learning methods and the need for IoT security.
| 2 |
Author(s):
Dr.M.Deepa, M.P.Venkat Vijay, S. SriRanjani , V. Sowmiya, V. Ramya.
Page No : 1-5
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NEXT-GEN NETWORK ATTACK DETECTION WITH MACHINE LEARNING AND DEEP LEARNING TECHNIQUES
Abstract
Systems for detecting network intrusions that are based on anomalies are very important. This research proposes robust machine learning and deep learning models for classifying different forms of network intrusions and attacks. The 49-feature UNSW-NB15 dataset has been used in experiments by suggested models for nine distinct assault samples. Among the ensemble models, the Decision Tree classifier yielded the highest accuracy of 99.05%, followed by Random forest (98.96%), Adaboost (97.87%), and XGBoost (98.08%).The K-Nearest Neighbour classifier was trained for a range of K values, with K=7 yielding the best results and an accuracy of 95.58%. For binary classification, a Deep Learning model with two dense layers activated by ReLU and a third dense layer activated by Sigmoid was created. It yielded good accuracy of 98.44% when used with the ADAM optimizer and an 80:20 Train-Test Split Ratio. XGBoost detects network attack exploits with 95% accuracy, Random Forest detects fuzzer attacks with 90% accuracy, Random Forest detects generic assaults with 99% accuracy, and Decision Trees detects reconnaissance attacks with 79% accuracy. Detecting network attacks requires no feature selection because all features are powerful and important.
| 3 |
Author(s):
ISHAANVI MAVI.
Page No : 1-6
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Artificial Intelligence (Ai) And Authorship: Who Owns Ai Generated Creations?
Abstract
Artificial intelligence (AI) is rapidly transforming creative landscapes, with machines now capable of producing original works of art, music, and literature. However, this innovation presents a significant legal challenge: who owns the copyright of these AI-generated creations? Current copyright law is built on the concept of human authorship, leaving a gaping hole when applied to AI. This paper delves into this legal uncertainty, exploring the applicability of existing copyright frameworks to AI authorship. By analyzing landmark cases and the evolving role of AI in the creative process, this research aims to identify potential solutions and pave the way for a future where both human and machine creativity are fostered within a clear legal framework.
| 4 |
Author(s):
Dr. Santhosh M.
Page No : 1-7
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IMPACT OF MOBILE TECHNOLOGY ON CONSUMER ENGAGEMENT WITH FLIPKART: A TRANSFORMATION OF BRAND INTERACTION
Abstract
Mobile technology's profound impact on consumer-brand interactions is a central focus of this study, with Flipkart as the prime subject. Although mobile technology's transformative role in digital marketing and brand strategies is evident, comprehensive research is lacking. The research examines how mobile devices have become central to brand interactions, emphasizing the need for a deeper understanding of this shift. Data collected from 101 diverse respondents, all experienced users of the Flipkart mobile app, highlights the app's significant value as a substantial portion of respondents use it regularly. Key drivers of consumer engagement identified in the findings include "Convenience" and "Information/Trust." To enhance the Flipkart app's user experience, the study presents recommendations, including the integration of in-store price and review scanning tools, improvements to return procedures, scheduled deliveries, the implementation of AR-based product try-ons, enhancements to app speed and functionality, simplified navigation, and personalized buying suggestions. This research highlights mobile technology's transformative influence on Flipkart's consumer engagement, emphasizing convenience and user satisfaction. The study's recommendations provide a roadmap for Flipkart to adapt to evolving consumer preferences and maintain its position as a leader in the e-commerce industry.
| 5 |
Author(s):
1M. Abdul Basid, P. Mahalakshmi.
Page No : 1-11
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A STUDY ON CAPITAL STRUCTURE ITS IMPACT ON PROFITABILITY
Abstract
The financing decisions occupy a pivotal role in the overall finance function in a corporate firm which mainly concerns itself with an efficient utilization of the funds provided by the owners or obtained from external sources together with those retained or ploughed back out of surplus or undistributed profits. These decisions are mainly in the nature of planning capital structure, working capital and mechanism through which funds can be raised from the capital market whenever required. The financing decisions explains how to plan an appropriate mix with least count, how to raise long term funds, and how to mobilize the funds for working capital within a short span of time. Such a financing policy provides an appropriate backdrop for formulating effective policies for investment of funds as well as management of earnings. It contributes to magnifying the earnings on equity as profitability (expressed as return on equity), to a large extent, is dependent on the degree of leverage in the capital structure. Besides, the valuation of the structure of physical assets depends fundamentally on the financing mix. This makes it necessary for the management of a firm to pursue a well thought out of financing policy, which ought to be framed initially, incorporating, among other things, the proportion of the debt and equity, types of debts and own funds to be used and volume of the funds to be raised from each source or combination of sources, to enable the firm to have a proper capitalization. In the absence of this, the firm may face the problem of either over capitalization or under capitalization impeding its smooth financial functioning.
| 6 |
Author(s):
1M. A. Veeraviswanath, V. Mohan Babu.
Page No : 1-12
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A STUDY ON CAPITAL STRUCTURE ANALYSIS
Abstract
A corporate’s financing of its real investments has recently attracted considerable attention from academics who have proposed various theories. This paper firstly studies the Gordon growth model and the weighted average cost of capital formula with the empirical tests and the sensitivity analysis. Then, we exam changes in a company’s market value concerning different combinations of capital structures and identify an arbitrage opportunity based on the Modigliani-Miller propositions. Finally, we investigate the relationship between a firm’s funding sources and its profit using panel data regression to figure out the optimal way to financing. These studies enable us to realize the fundamental relationship between a corporate’s price and its capital structure. In light of those studies, we could have some insightful ideas regarding funding decision-making in reality.
| 7 |
Author(s):
1M. Nagaraju, Assistant Professor, 2A. Veerasekhar Reddy.
Page No : 1-12
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A STUDY ON RECEIVABLES MANAGEMENT
Abstract
Accounts receivable is an accounting
transaction which deals with the billing of
customer who owes money to a person,
company or organization for goods and services
that has been provided to the customers. In
most business entities this is typically done by
generating an invoice and mailing or
electronically delivering it to the customer, who
in turn must pay it within an established
timeframe called credit or payment terms. The
term receivable management is defined as
“debt owed to the firm by customer arising from
the sale of goods/ services in the ordinary
course of business.” The receivable represents
an important component of the current assets
of the firm. Receivables may be known as
accounts receivables, trade creditors or
customer receivable. When a firm its products /
services and does not receive cash for it
immediately, the firm has said to be granted
trade credit to the customers. Trade credit thus
creates receivable / book debts, which the firm
is expected to collect in near future. Accounts
receivable are thus amounts due from
customers, which bear no interest in essence, a
company is providing no cost financing to the
customer to encourage the purchase of the
company’s product/services.
| 8 |
Author(s):
Arijit Goswami, Dr. Bhavna Prajapati.
Page No : 1-12
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Effect of Job Satisfaction on Moonlighting Intentions: Mediating Effect of Organizational Commitment among faculty members
Abstract
This study explores the intricate relationship between job satisfaction, organizational commitment, and moonlighting intentions among faculty members within an academic setting. Moonlighting, or engaging in secondary employment, has gained prominence due to its potential impact on an individual's performance, commitment, and overall organizational dynamics. In this context, the study investigates whether organizational commitment plays a mediating role in the association between job satisfaction and moonlighting intentions. The research employs a quantitative approach, utilizing a structured questionnaire to gather data from a sample of faculty members across various academic institutions. Validated scales are used to measure constructs such as job satisfaction, organizational commitment, and moonlighting intentions. A total of 161 faculty members of different universities of Raipur were administered by Partial Least Square Structural Equational Modelling (PLS – SEM) in Smart PLS version 3.3.2.The findings of the study are expected to contribute to the understanding of how job satisfaction influences faculty members' intentions to engage in moonlighting activities. Additionally, the potential mediating effect of organizational commitment will shed light on the underlying mechanisms through which job satisfaction may indirectly impact moonlighting intentions. The implications of this study are two-fold. Firstly, academic institutions and administrators can benefit from insights into the factors that contribute to moonlighting intentions among faculty members. By addressing job satisfaction and fostering higher levels of organizational commitment, institutions may be able to mitigate moonlighting tendencies and enhance faculty engagement. Secondly, the study adds to the existing body of literature on organizational behavior, particularly in the academic context, by uncovering the complex interplay between job satisfaction, organizational commitment, and moonlighting intentions.
Key words: Moonlighting intentions, Organisational commitment, job satisfaction
| 9 |
Author(s):
. Abdul Basid, Dharma Teja Reddy.
Page No : 1-14
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A STUDY ON CAPITAL MARKET
Abstract
The Indian Capital Market is one of the oldest capital markets in Asia which evolved around 200 years ago. A market is any one of a variety of different systems, institutions, procedures, social relations and infrastructures whereby persons trade, and goods and services are exchanged, forming part of the economy. It is an arrangement that allows buyers and sellers to exchange things. Markets vary in size, range, geographic scale, location, types and variety of human communities, as well as the types of goods and services traded. Some examples include local farmers’ markets held in town squares or parking lots, shopping centers and shopping malls, international currency and commodity markets, legally created markets such as for pollution permits, and illegal markets such as the market for illicit drugs.