The .NET framework is widely used for software development, making it a target for a significant number of malware attacks by developing malicious executables. Previous studies on malware detection often relied on developing generic detection methods for Windows malware that were not tailored to the unique characteristics of .NET executables. As a result, there remains a significant knowledge gap regarding the development of effective detection methods tailored to .NET malware. This work introduces a novel framework for detecting malicious .NET executables using statically extracted method names. To address the lack of datasets focused exclusively on .NET malware, a new dataset consisting of both malicious and benign .NET executable features was created. Our approach involves decompiling .NET executables, parsing the resulting code, and extracting standard .NET method names. Subsequently, feature selection techniques were applied to filter out less relevant method names. The performance of six machine learning models—XGBoost, random forest, K-nearest neighbor (KNN), support vector machine (SVM), logistic regression, and naïve Bayes—was compared. The results indicate that XGBoost outperforms the other models, achieving an accuracy of 96.16% and an F1-score of 96.15%. The experimental results show that standard .NET method names are reliable features for detecting .NET malware.

This research investigates the relationship between Basel capital regulations, bank risk, and bank efficiency in the context of Pakistani and Indian commercial banks. This study examines the period from 2009 to 2022 and specifically analyses the impact of Basel III capital requirements on risk and efficiency. Quantitative methods are employed, utilising data from central bank websites and the BankScope database to construct a comprehensive sample of commercial banks in Pakistan and India. The system-generalised method of moments (GMM) estimation technique addresses potential endogeneity issues in the regression models. The findings shed light on the effectiveness of these regulations and provide insights for policymakers and regulators in both countries. The results indicate that Basel capital regulations have generally increased banks’ risk-taking behaviour in Pakistan and India. However, they have not improved the overall efficiency of the banking sector in either country. Bank efficiency declined during the study period, highlighting the limited effectiveness of Basel capital regulations in enhancing efficiency. Furthermore, the impact of these regulations on risk and efficiency varies between the two countries. In Pakistan, the regulations do not significantly affect bank efficiency, while in India, they decrease efficiency. Additionally, Basel III capital regulations do not significantly impact the risk taken by banks in either country. This study concludes by emphasising the need for alternative mechanisms or policies to improve the banking industry’s efficiency, as Basel capital regulations alone have proven ineffective. The findings offer valuable insights for central banks and regulators in assessing the relationship between capital regulations, risk, and efficiency and implementing appropriate measures to enhance the performance of the banking sector. This study recommends the following key points: the adoption of tailored regulatory approaches to address specific challenges, achieving an optimal balance between risk management and operational efficiency, enhancing the effectiveness of management roles, considering the influence of macroeconomic factors, and evaluating the implications of long-term policy development for sustainable progress. The present study adds to the prevalent literature on the impact of capital regulations on bank risk and efficiency nexus. This study focuses on Pakistan and India, which are two important developing nations. Moreover, another important contribution of this study lies in the effect of Basel III capital regulation on bank risk, as these capital regulations are different from other Basel capital requirements.

The study aimed to measure the impact of penal protection for the privacy of faculty members in the digital environment, including CVs, and scientific production through international and official information observatories at the American University in the United Arab Emirates, where the study applied the descriptive analytical approach with the use of the questionnaire as the primary measurement tool, on a stratified random sample consisting of (41) faculty members out of a total of (105) faculty members by 39%, and the study found a high percentage of faculty members' awareness of the concept of right In information privacy in the university environment, and the diversity of information observatories for which CVs and scientific production are uploaded, with the diversity of updating those data closely, and that the university has provided the conditions and regulations governing the preservation of the right to information privacy, and the study recommended the need to spread the culture of the right to information privacy through holding specialized seminars and workshops, while raising the entire scientific production of studies, university theses, patents and scientific innovations through the official platform for CVs, with an increase in Technical security for the confidentiality of information at the university, while urging faculty members to update personal data, degrees and scientific production continuously. Received: 1 October 2024 / Accepted: 18 December 2024 / Published: 05 January 2025

The COVID-19 pandemic has reshaped film consumption patterns in China, driving a notable transition from traditional theatres to over-the-top (OTT) platforms. This study investigates the factors influencing post-pandemic cinephile preferences, particularly the interplay between OTT platforms and traditional cinema-going platforms. The surge in online streaming, boosted by pandemic-induced restrictions, has been critical with regional giants such as iQIYI restyling Chinese entertainment traditions. This research aims to uncover the determinants guiding cinephile choices by analysing demographic variables, technological advancements and consumption patterns. Through a survey in Tier II cities, data from 656 participants were analysed to determine the OTT platform and cinema usage. The findings reveal nuanced trends: females slightly favour OTT platforms, while males prefer traditional cinemas. Young adults aged 21 to 25 years are the most active users of both platforms, with education level slightly affecting usage. Smartphone usage is widespread, with 70% accessing OTT platforms via mobile. While 40% view OTT platforms as challenging traditional cinemas, 65% view OTT platforms in the future. Key factors influencing future cinema-going include OTT platform accessibility and time constraints—over 80% expressed satisfaction with their cinema experiences, with peak seasons significantly impacting ticket prices. Comedy, drama and action genres were most popular among cinemagoers, each with over 60% preference. These findings imply that the future of film consumption in China will likely be shaped by the balance and integration of OTT platforms and traditional cinema experiences.