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This paper aims to provide the security and privacy for Byzantine clients from different types of attacks.

In this paper, the authors use Federated Learning Algorithm Based On Matrix Mapping For Data Privacy over Edge Computing.

By using Softmax layer probability distribution for model byzantine tolerance can be increased from 40% to 45% in the blocking-convergence attack, and the edge backdoor attack can be stopped.

By using Softmax layer probability distribution for model the results of the tests, the aggregation method can protect at least 30% of Byzantine clients.

Fraud transaction detection has become a significant factor in the communication technologies and electronic commerce systems, as it affects the usage of electronic payment. Even though, various fraud detection methods are developed, enhancing the performance of electronic payment by detecting the fraudsters results in a great challenge in the bank transaction.

This paper aims to design the fraud detection mechanism using the proposed Harris water optimization-based deep recurrent neural network (HWO-based deep RNN). The proposed fraud detection strategy includes three different phases, namely, pre-processing, feature selection and fraud detection. Initially, the input transactional data is subjected to the pre-processing phase, where the data is pre-processed using the Box-Cox transformation to remove the redundant and noise values from data. The pre-processed data is passed to the feature selection phase, where the essential and the suitable features are selected using the wrapper model. The selected feature makes the classifier to perform better detection performance. Finally, the selected features are fed to the detection phase, where the deep recurrent neural network classifier is used to achieve the fraud detection process such that the training process of the classifier is done by the proposed Harris water optimization algorithm, which is the integration of water wave optimization and Harris hawks optimization.

Moreover, the proposed HWO-based deep RNN obtained better performance in terms of the metrics, such as accuracy, sensitivity and specificity with the values of 0.9192, 0.7642 and 0.9943.

An effective fraud detection method named HWO-based deep RNN is designed to detect the frauds in the bank transaction. The optimal features selected using the wrapper model enable the classifier to find fraudulent activities more efficiently. However, the accurate detection result is evaluated through the optimization model based on the fitness measure such that the function with the minimal error value is declared as the best solution, as it yields better detection results.

Indian families are undergoing a transition due to a combination of factors such as rapid urbanization, economic development, educational advancements and major global connect. The shift from traditional joint families to urban nuclear families, changing pattern of the size of families, transformed gender roles in the domestic sphere, rising educational and career aspirations and increased occupational choices, new technological and economic contributions collectively contribute to a new landscape for Indian families. While these changes bring about new forms and structures of modern Indian families, they also reflect the resilience of the conventional value system of Indian families in adapting to the demands of a rapidly changing world. This chapter outlines the changing dynamics of Indian families in the 21st century. Changes in marriages and their influence on family making have been discussed with a special focus on inter-caste and intra-caste marriages and modern families. In urban India, age at marriage is also discussed in the background of formation of families. This chapter provides a discussion on changed gender roles and hierarchies within families. This chapter also highlights separation and divorce which led to single-parent families and broken families in Indian society.

This paper reviews the literature on internationalization barriers of small and medium enterprises (SMEs) from developing countries. The purposes of the study are: (1) to explicitly point out specific factors influencing the growth and internationalization of SMEs from developing countries and (2) to identify the research gaps to provide lucid and succinct directions for future research in this area.

The authors selected relevant papers from journals listed on Web of Science and Scopus databases.

It was found that there are large number of questions remain unanswered regarding the internationalization of SMEs from developing countries regarding the factors determining their growth and internationalization.

This review distinctively accentuates previous studies on such barriers influencing the growth of SMEs from developing countries and systematically synthesize the issues faced by those SMEs. Thus, the authors seek to provide a comprehensible platform for researchers working in this area.

Today, the employees stand firm as an integral part of the organization and are a precious asset. They are willing to learn, accept challenges and strive hard to deliver their level best. The role of the employees has become pronounced and significant, and it is no more conventional. They are now taking up responsibilities in strategic planning and development of the organization. Thus, HR department plays a profuse role in planning for the human resource of the firm to optimize the utilization of their potentials that would help support and meet the business as well as strategic goal of the firm. These HR planning programs ensure managing people within a planned framework and make them develop their performance that becomes a source of sustained competitive advantage for the firm. The paper aims to discuss these issues.

A descriptive research has been conducted with cross-sectional survey through a formalized questionnaire. Multistage sampling has been used in the study. Primary data have been collected from different manufacturing industries of India. Exploratory factor analysis and confirmatory factor analysis have been conducted on the hypothesized research model. Structural equation modeling has been done to specify the relation between the measured and latent variables.

The HR planning programs, namely, staffing plan and succession plan, yield a better result in addressing the strategic goal of the company. Succession plan, staffing plan and talent management strategies augment the efficacious performance of the firm. Effectual performance aids in gaining a competitive advantage for the firm in a substantial way. Job analysis and design have no impact in achieving the strategic intent of the organization.

The study gives a comprehensive scenario of the HR planning programs that can help the organization to meet and uphold their strategic goals. The study provides a model that can solidify and bind the organization toward securing organizational intent and leading a steadfast business process in this dynamic competitive marketplace.

A bibliographical review of the finite element methods (FEMs) applied for the linear and nonlinear, static and dynamic analyses of basic structural elements from the theoretical as well as practical points of view is given. The bibliography at the end of the paper contains 1,726 references to papers, conference proceedings and theses/dissertations dealing with the analysis of beams, columns, rods, bars, cables, discs, blades, shafts, membranes, plates and shells that were published in 1996‐1999.

This study aims to synthesize two different benzoxazines (Bz) monomers using bio-based and petroleum-based primary amines, respectively, and they have been compared to study their thermal and mechanical performances.

A bio-based bisphenol, Divanillin (DiVa), was formed by reacting two moles of vanillin with one mole of ethylenediamine (EDA) which was then reacted firstly with paraformaldehyde and EDA to form the benzoxazine DiVa-EDA-Bz, and secondly with paraformaldehyde and furfuryl amine (FFA) to form the benzoxazine DiVa-FFA-Bz. The molecular structure and thermal properties of the benzoxazines were characterized by fourier transform infrared spectroscopy and nuclear magnetic resonance (1H,13C) spectroscopies, differential scanning calorimetry (DSC) and thermogravimetric analysis (TGA), respectively. The benzoxazines were further coated on mild steel panels to evaluate their mechanical properties and chemical resistance.

The DSC results of DiVa-FFA-Bz showed two exothermic peaks related to crosslinking compared to the one in DiVa-EDA-Bz. The DiVa-FFA-Bz also showed a higher heat of polymerization than DiVa-EDA-Bz. The TGA results showed that DiVa-FFA-Bz exhibited higher thermal stability with a residual char of 54.10% than 43.24% for DiVa-EDA-Bz. The chemical resistance test results showed that DiVa-FFA-Bz showed better chemical resistance and mechanical properties due to its higher crosslinking density.

This study shows the use of bio-based materials, vanillin and FFA, for synthesizing a benzoxazine resin and its application at high temperatures.

This study aimed to explore the impact of Artificial Intelligence (AI) characteristics, namely Perceived Animacy (PAN), perceived intelligence (PIN), and perceived anthropomorphism (PAI), on user satisfaction (ESA) and continuous intentions (CIN) by integrating Expectation Confirmation Theory (ECT), with a particular focus on Generation Y and Z.

Using a quantitative method, the study collected 495 data from Gen Y (204) and Z (291) respondents who were users of digital banking apps through structured questionnaires that were analysed using PLS-SEM. The latter helped investigate the driving forces of AI characteristics and user behavioural intentions as well as reveal generation-specific features of digital banking engagement.

The study revealed that PAN and PIN have significant positive effects on the anthropomorphic perceptions of digital banking apps, which in turn increases perceived usefulness, satisfaction, and continuous intentions. In particular, the influence of these AI attributes varies across generations; Gen Y’s loyalty is mostly based on the benefits derived from AI features, whereas Gen Z places a greater value on the anthropomorphic factor of AI. This marked a generational shift in the demand for digital banking services.

The specificity of Indian Gen Y and Z users defines the scope of this study, suggesting that demographic and geographical boundaries can be broadened in future AI-related banking research.

The results have important implications for bank executive officers and policymakers in developing AI-supported digital banking interfaces that appeal to the unique tastes of millennial customers, thus emphasising the importance of personalising AI functionalities to enhance user participation and loyalty.

This study enriches the digital banking literature by combining AI attributes with ECT, offering a granular understanding of AI’s role in modulating young consumers' satisfaction and continuance intentions. It underscores the strategic imperative of AI in cultivating compelling and loyalty-inducing digital banking environments tailored to the evolving expectations of Generations Y and Z.

The case on Moodcafe captures the journey of the start-up and its entrepreneurs from the beginning till the fund-raising stage. The case brings forth critical decisions that each entrepreneur or the team of co-founders have to address during their start-up journey. This short case gives opportunity to delve into two aspects mainly a) As a founder, which investor should one choose for seeking funds and what should be the terms and conditions of investment? and b) How can one review and assess the business model of a start-up?