Evaluation of ICT Security Implementation in Banks: Bangladesh Perspective (Published)
Nowadays, banks are the foundation of a strong economy in any country, whereas information and communication technology (ICT) has become the heart of any bank. As a result, one of the major challenges has become ensuring the security of the banks. Whenever ICT security comes up, the foremost thing that needs to be considered is” PAM, PCI DSS, SIEM, and ICT risk management,” which measures are improving immensely day by day. Under the ICT security guidelines of Bangladesh Bank, all banks are implementing many security measures to ensure ICT security standards. This paper mainly emphasis on the implementation of ICT security measures such as PAM, PCI DSS, SIEM, and ICT risk management through surveys from different banks. It also focuses on the challenges and future prospects of ICT security measures.
Keywords: ICT risk management, ICT security measures, PAM, PCI DSS, Python, SIEM, Survey
Cracking the Code of Crop Growth: Illuminating the Future of Philippines’ Onion Production for a Resilient Filipino Diet with the ARMA Forecasting Model (Published)
This study employed the Box-Jenkins methodology and the Autoregressive Moving Average (ARMA) model to forecast onion production in the Philippines. By utilizing historical data from the Philippine Statistics Authority, an optimal forecasting solution was achieved through the selection of the ARMA (4,2) model. The model demonstrated a favorable fit, passing diagnostic tests and exhibiting a mean absolute percentage error (MAPE) of 10.406%. Projections for onion production in 2023 and 2024 were provided, highlighting expected yields for each quarter. The analysis of historical data revealed periodic fluctuations in onion supply driven by factors such as weather patterns, market demand, agricultural practices, and imports or exports. The study’s implications emphasize the value of accurate forecasting models for decision-making in production planning, resource allocation, pricing, and market positioning. Policymakers, farmers, and stakeholders can utilize the findings to optimize onion production sustainably and enhance the agricultural sector’s performance in the Philippines.
Keywords: Agriculture, Box-Jenkins analysis, Forecast, Python, autoregressive moving average (ARMA) model, log transformation, onion production, onion supply, variance, variance stabilization
Categorization And Translation Operating System’s Assistance in Explication of Different Bangladeshi Accents (Published)
National language of Bangladesh is Bengali and it’s also the official language used frequently. Our paper’s focal point was to categorize and differentiate West Bangla language or Bangladeshi Bangla accent in a Bengali sentence. We first amassed text from literature files. Then converted text sentence data to numeric data by using TF-IDF. After PCA application by MATLAB, final data set was being obtained. Our strategy for future will assist in developing an automatic software that detects if a sentence has been written in West Bangla or Bangladeshi Bangla and then it will do translation from one to another form. Differences between both Bangladeshi accents is already so minimum that only native speaker can identify them distinctively. There was no data available previously for this study. This work denoted that as if languages seems to be same but are unique and different in their own way and depicts the identity of two geographically separated regions. The major output of this work paid heed on identification of the form of language frequently used today. Many other studies could be conducted, based on the results of our study, on the effects of Sanskrit and Foreign literature
Keywords: Bangladeshi Bangla, Inverse Data Frequency, Linear SVM, Principal Component Analysis, Python, Term Frequency, West Bangla