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This paper explores the different insider employee-led cyber frauds (IECF) based on the recent large-scale fraud events of prominent Indian banking institutions. Examining the different types of fraud and appropriate control measures will protect the banking industry from fraudsters. In this study, we identify and classify Cyber Fraud (CF), map the severity of the fraud on a scale of priority, test the mitigation effectiveness, and propose optimal mitigation measures. The identification and classification of CF losses were based on a literature review and focus group discussions with risk and vigilance officers and cyber cell experts. The CF was analyzed using secondary data. We predicted and prioritized CF based on machine learning-derived Random Forest (RF). An efficient fraud mitigation model was developed based on an offender-victim-centric approach. Mitigation is advised both before and after fraud occurs. Through the findings of this research, banks and fraud investigators can prevent CF by detecting it quickly and controlling it on time. This study proposes a structured, sustainable CF mitigation plan that protects banks, employees, regulators, customers, and the economy, thus saving time, resources, and money. Further, these mitigation measures will improve the reputation of the Indian banking industry and ensure its survival. [ABSTRACT FROM AUTHOR]

OBJECTIVE The aim of this research paper is to analyse and provide suggestions to overcome challenges of data security and data privacy in the healthcare sector. The objective is to also conduct a SWOT analysis to understand the current scenario of the healthcare sector. It will provide detail on the concerns of the healthcare sector. DESIGN AND SETTING A quantitative data analysis was conducted. The online Google forms were used to gather primary data. Statist ical analysis software was used for data analyses like independent sample t-tests and one-way anova. RESULTS The healthcare sector is concerned about data security and data privacy. The violation of privacy cases in India has increased over several years. The data security and data privacy in healthcare sector are very important. The female respondents felt that it is very important that their consent is taken before their personal information is sold or shared wi th others plus before tracking their movement on the internet than male respondents. CONCLUSION Healthcare and information technology sectors are among the most important sectors in the current online world. The strengths are healthcare awareness and mobile applications while weakness are ineffectively protected systems and infrastructure problems. The opportunities are investments for different facilities in the sector plus increase in research and development. The threats are violation of data privacy, data thefts and cyber -attacks putting a question on data security. Proper effective procedures have to be implemented to improve data security. [ABSTRACT FROM AUTHOR]

Introduction: This paper proposed two separate tests for checking the conditional dependence between returns and risk of selected securities using Vector Autoregressive (VAR) model. Methodology: The proposed first test is based on Special Wald's F-statistic. This test was employed in order to check whether the expected returns conditionally depend on risk and past year returns if the returns follow normal distribution. Similarly, in order to scrutinize the conditional dependence of risk on return and past years risk, the second test based on Lagrange's multiplier (LM) statistic was employed. The methodology consists to model the data over the security returns of selected 5 companies under FMCG Industry listed in National Stock Exchange (NSE), India over the period between Jan 1, 2020 to Dec 31, 2020. Results: From the result of the study, it is revealed that even though the stock liquidity of Britannia and Marico is good, their expected returns reveals that this was not a deciding factor on their past year risk and return during the period of the study. And also Nestle and ITC proved to be their risk has an influence over their past risk and past returns. [ABSTRACT FROM AUTHOR]

Digital transformation in the health sector can revolutionize a country's healthcare system. However, the effective sustainability of digital health relies on various factors that influence its implementation. Addressing such implementation challenges is crucial in designing and delivering digital health services. Therefore, this systematic review attempted to identify the potential barriers to the implementation of digital transformation in the health sector of India. Systematic searches were employed across databases PubMed, PsycINFO, Science Direct, Web of Science, and Google Scholar for studies that reported digital transformation in India from inception to December 2022. Following narrative synthesis, studies were assessed for quality using JBI and the Mixed Methods Appraisal Tool (MMAT). Out of 1129 initially identified records, 26 studies that met the inclusion criteria were deemed eligible for final analysis. Although digital transformation in India's health sector occurred rapidly, especially during the COVID-19 pandemic, there are still potential barriers that impede its successful implementation in the country. Barriers identified are mainly associated with limited technological and medical infrastructure, data security and privacy, and a lack of physical examination. The need to address these barriers, recommendations for government and healthcare practitioners, and implications for future research are discussed. [ABSTRACT FROM AUTHOR]

This study examines the complexities of neobank marketing in India, moving beyond traditional banking paradigms. Using a descriptive research methodology, primary data was collected from 200 respondents through a self-structured questionnaire and analyzed with SPSS. The findings reveal that all respondents were aware of neobanks, but continued to use traditional banking services like savings accounts, credit, loans, and fixed deposits. Hypothesis testing indicates that neobanks achieve higher customer engagement through digital channels compared to traditional banks. Despite this, neobanks face significant challenges related to perceived trustworthiness, especially concerning data security. This has led to a lower level of trust in their marketing communications. However, the study highlights the agility of neobanks in adapting their marketing strategies to regulatory changes and their consistent innovation to stay competitive. Neobanks are more flexible and responsive to changing regulations and market demands, which is a notable advantage. The research recommends that neobanks reassess their marketing strategies to bridge the identified performance gap. Enhancing trustworthiness and data security measures is crucial to align with current market expectations. By addressing these issues, neobanks can improve their competitiveness and better meet customer needs. [ABSTRACT FROM AUTHOR]

The strategic maritime environment of the Indian Ocean exhibits growing geopolitical tussle between the U.S. and China and have regional implications. In an attempt to contain the rising influence of China, U.S. strengthens its collaboration with India to elevate its status as a 'net security provider' in the region by offering it access to highly sophisticated defence related equipment. This paper is an attempt to contextualise the regional dimension of superpower rivalry. It offers analysis of India's evolving maritime strategy and primarily focuses on two significant trends that directly undermine regional stability. These include: first, introduction of 'Indo-Pacific' as a regional construct that enables India to enhance its naval capabilities and use maritime diplomacy to forge strategic relationships in its pursuit of dominating the Ocean and secondly, the maritime dimension of South Asian strategic environment where India's pursuit of sea-based nuclear forces further adds to New Delhi's aggressive nuclear posture and directly undermines deterrence stability vis-à-vis Pakistan. [ABSTRACT FROM AUTHOR]

In the rapidly developing world of the Internet of Things (IoT), data security has become increasingly important since massive personal data are collected. IoT devices have resource constraints, which makes traditional cryptographic algorithms ineffective for securing IoT devices. To overcome resource limitations, lightweight cryptographic algorithms are needed. To identify research trends and patterns in IoT security, it is crucial to analyze existing works, keywords, authors, journals, and citations. We conducted a bibliometric analysis using performance mapping, science mapping, and enrichment techniques to collect the necessary information. Our analysis included 979 Scopus articles, 214 WOS articles, and 144 IEEE Xplore articles published during 2015–2023, and duplicates were removed. We analyzed and visualized the bibliometric data using R version 4.3.1, VOSviewer version 1.6.19, and the bibliometrix library. We discovered that India is the leading country for this type of research. Archarya and Bansod are the most relevant authors; lightweight cryptography and cryptography are the most relevant terms; and IEEE Access is the most significant journal. Research on lightweight cryptographic algorithms for IoT devices (Raspberry Pi) has been identified as an important area for future research. [ABSTRACT FROM AUTHOR]

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Introduction: The use of social networking sites (SNSs) is growing among higher education students, including healthcare students. Nonetheless, limited research has examined the perceived use behavior among healthcare students in developing countries such as India. Objective: This study attempts to assess the use behavior of SNSs by undergraduate students in the fields of nursing and pharmacy in India through the lens of Connectivism and New Social Learning theories. Method: The study used a Google form to collect data through an online questionnaire. A sample of 483 participants included 258 Bachelor of Science in Nursing students, 161 General Nursing and Midwifery students, and 64 Bachelor of Pharmacy students from various Indian nursing and pharmacy schools. Results: The majority of the respondents prefer to use SNSs for several purposes such as watching academic videos on YouTube, sharing their ideas, thoughts, and current development in their respective fields through WhatsApp, getting job-related information from different Facebook pages, etc. A substantial number of nursing students believed that these SNSs help them build relationships with professionals across the country. At the same time, many students also indicated that extensive use of SNSs might cause sleep difficulties, data privacy concerns, and a lack of focus while studying. Conclusion: To have an impact on how SNSs are used in healthcare education, more attention should be paid to build connectivism between educators and their students on social learning environment, which the findings of this study's suggestions could be put into practice. [ABSTRACT FROM AUTHOR]

Data protection and competition law are perhaps two of the most enmeshed legal arenas in the contemporary data-driven world. This essay ingresses into this intersection, appraising the competitive implications of India's Data Protection Bill, 2022 through key arenas of conflict such as jurisdictional tussles, data portability, the remedy of mandatory data sharing, and compliance costs. Although the intersection of privacy and competition law has been discussed in Indian scholarship, an analysis of the competitive implications of the Data Protection Bill has been absent. This is precisely the gap that this piece aims to fill, by appraising the host of new implications of the Digital Personal Data Protection Bill (DPDPB) on Indian competition and providing a framework to evaluate various competition concerns such as jurisdiction, compliance, and data sharing of any subsequent data protection bill in India. It does this by first analyzing the extent to which competitive concerns can be addressed in the Indian data protection system. With this premise, it secondly considers the question of jurisdictional primacy between the Competition Commission and the Data Protection Board, arguing for the primacy of the Competition Commission. Thirdly, it discusses the questions of data portability, mandatory data sharing and compliance costs in the DPDBP which could affect India's competition, critically discussing the trade-offs and suggesting potential solutions. The goal of the piece is to critically examine the implications of the 2022 version of the bill to suggest ways forward for its future iterations in India. [ABSTRACT FROM AUTHOR]

India's conception of its peaceful role in international affairs, which evolved during the Nehruvian era, is not an end in itself, but rather a wholesome strategic choice consistent with its economic development and great power ambitions. Despite emphasising a radical shift in foreign policy, the government of Prime Minister Narendra Modi deemed it essential to prioritise peace in international relations, particularly with the Gulf Cooperation Council countries. The Abraham Accords, involving the UAE and Bahrain, have created a new geopolitical environment that affirms India's conception of security through peace and permits engagement in key areas while ensuring economic gains. [ABSTRACT FROM AUTHOR]

Blockchain technology has recently been at the center stage of academic discussions. This is owing to its use in the financial sector and the rise of cryptocurrencies like Bitcoin. In essence, digital ledger technology (DLT) is shared digital data spread across multiple sites. A blockchain is a type of DLT consisting of a growing list of records, called blocks, securely linked with a time stamp. Maintaining data privacy and security is one of the core benefits of using the blockchain network. In healthcare, efficient data sharing is desirable with secure long-term access to data. In recent years, numerous applications built on blockchain infrastructure have been introduced in the healthcare sector. In this narrative review, we intend to introduce the science of blockchain technology, its core concepts, and its application to healthcare. We also describe current instances of its application in the healthcare sector, its application from the Indian perspective, and its limitations and future possibilities. [ABSTRACT FROM AUTHOR]