Title– IOT SECURITY ENHANCEMENT VIA DECISION TREE RFE AND PEARSON CORRELATION

Author– Dr. S.M.N. Yusuf

Abstract

The recent growth on the Internet of Things (IoT) has been a major driver of the industrial revolution, especially with the rise of smart cities. IoT applications automate real-time processes, making life more efficient and convenient. These IoT-enabled systems enhance the quality of life, improve service quality, and increase operational efficiency. However, this technology also poses significant security risks. As smart devices handle sensitive data, there is a growing risk of cyber-attacks, data misuse, and privacy breaches, which can undermine user trust and hinder the progress of smart city development. To address these cybersecurity challenges, it’s essential to develop a model that can protect IoT devices from various threats in real time. This paper proposes an innovative approach that combines efficient feature selection and fusion techniques to enhance intrusion detection in IoT systems. The proposed model starts by preprocessing the raw IoT data, preparing it for the next stages of analysis. The Decision Tree-based Pearson Correlation Recursive Feature Elimination (DT-PCRFE) method is then applied to select the most relevant features. By eliminating redundant and uncorrelated data, this step not only improves resource utilization but also reduces computational complexity, making the system faster and more efficient. After selecting key features, the model employs a feature fusion process, converting IoT device requests into word embeddings. This transformation strengthens the model’s ability to detect diverse attack patterns, thus increasing its robustness.

Index Term– Attack Detection, Internet of Things (IoT), Deep learning, Decision Tree, Recursive Feature.

DOI- 10.30696/IJEEA.XIII.I.2025.01-19

Reference to this paper should be made as follows:  Dr. S.M.N. Yusuf, (2025), “IoT Security Enhancement Via Decision Tree RFE and Pearson Correlation” Int. J. of Electronics Engineering and Applications, Vol. 13, No. 1, pp. 01-19.

Title– ON THE ASSESSMENT OF STUDENTS’ SOFTWARE TESTING AND PROGRAMMING LANGUAGE SKILLS – CAMEROON CONTEXT: AN EXPERIMENTAL APPROACH

Author– DJAM Xaveria Youh, Aminou Halidou, TAPAMO Kenfack Hyppolyte Michel, Atsa Roger Etoundi

Abstract

Despite decades of researches and technological advancements in software development, there is still a wide gap between good programmers, good software testers, software industry and the academic world. Higher institutions continue to rely on traditional teaching methods which fails to leverage recent technological improvements. The complexity of software systems has made traditional assessment methods inadequate to meets new programming demands. Over the last decades, the fast-growing complexity of software systems has forced academic world to improve to a certain extent on teaching techniques in order to meet up with industrial demands. Nevertheless, there is still a wide gap as theory does not match practical. This paper presents a novel performance assessment method for assessing students’ practical work not only in Software Testing courses but equally Programming Languages courses, by establishing an eye-tracking practical monitoring system in order to improve the rate of students’ performance.  We developed a novel assessment algorithm that used five performance criteria that were used in two Software testing and programming language courses for two consecutive semesters in 2023-2024 academic year in University of Yaoundé 1, Yaoundé, Cameroon. The assessment was done in two levels: Students-self assessment and Lecturer assessment of students’ group practical using five features for assessment. After using this approach in two courses for two consecutive semesters, we observed significant improvements of students’ learning outcome in various aspects. The results revealed that, the use of scoring elements with linguistics variables can also produce an evidence-based students’ growth assessments direction showing whether a student is either improving or not in an iterative assessment.

Index Term– Students, University, Performance Assessment, Coverage Testing, Software Testing, Programming Language, Testing Criteria.

DOI- 10.30696/IJEEA.XIII.I.2025.21-41

Reference to this paper should be made as follows:  DJAM Xaveria Youh, Aminou Halidou, TAPAMO Kenfack Hyppolyte Michel, Atsa Roger Etoundi, (2025), “On The Assessment of Students’ Software Testing and Programming Language Skills – Cameroon Context: An Experimental Approach” Int. J. Electronics Engineering and Applications, Vol. 7, No. 2, pp. 21-41.

Title– DIGITAL GOVERNANCE AS A CATALYST FOR SUSTAINABLE FINANCE

Author– Pranshu Sinha and Akansha Dhanjal

Abstract

This paper underscores the pivotal role of digital governance as a transformative catalyst in advancing sustainable finance initiatives by harnessing state-of-the-art technologies including artificial intelligence, distributed ledger systems like block chain, and advanced big data analytics within financial ecosystems. It explores how these digital innovations enhance transparency, reinforce regulatory compliance, and accelerate the mobilization of capital toward environmentally sustainable and socially responsible investments. Furthermore, the study delves into the inherent challenges associated with digital governance, including cybersecurity vulnerabilities, regulatory fragmentation, and complex ethical dilemmas. It offers strategic recommendations aimed at fortifying digital infrastructure and promoting the harmonization of global regulatory standards. Ultimately, the discourse highlights the potential of digital governance to foster a more inclusive, transparent, and resilient financial architecture, thereby contributing meaningfully to the realization of global sustainability objectives.

Index Term– Sustainable finance, Decentralized finance, Green Bonds, Sustainability-Linked Loans, Thematic Investing, Tokenization of Assets.

DOI- 10.30696/IJEEA.XIII.I.2025.43-54

Reference to this paper should be made as follows:  Pranshu Sinha andAkansha Dhanjal, (2025),          “Digital Governance as a Catalyst for Sustainable Finance”, Int. J. of Electronics Engineering and Applications, Vol. 13, No. 1, pp. 43-54

Title– A NOVEL APPROACH TO MOBILE MONEY SMISHING AND TRANSACTION FRAUD DETECTION AND PREDICTION USING DYNAMIC LOCALITY SENSITIVE HASHING

Author– DJAM Xaveria Youh, TAPAMO Kenfack Hyppolyte Michel, Aminou Halidou, Atsa Roger Etoundi, Tekoh Palma Achu

Abstract

Mobile money fraud has become so prevalent with users losing their hard earn income and Service Providers finding it difficult to cope with this new reality. Several authors in literature have proposed different approaches ranging from expert systems, machine learning and hybrid approaches. However, these approaches have not been able to handle the problem of efficiency and rapidity in mobile money fraud detection, while taking into consideration the imbalance nature of financial datasets and the dimensionality explosion problem associated with these datasets. This article proposes a novel dynamic Locality Sensitive Hashing approach to efficient and rapid detection and prediction of mobile money fraud related to SMS and Transaction data, based on the application of Search Based Software Engineering in machine learning while tackling the limitation brought about as a result of imbalance data inherent in financial datasets and the dimensionality explosion problem. A comparative analysis of our approach with the state-of-the-art techniques demonstrates promising results on both efficiency and rapidity. The results showed a 98.6% efficiency for SMS fraud data detection and prediction and 99% for transaction data while yielding an O(n) running time for both dataset where n is the dataset size. These results are very encouraging and will go a long way to reducing the amount of fraud on mobile money networks and hence an increase in customer trust and adoption of mobile money services.

Index Term– Search Based Software Engineering, Dynamic Locality Sensitive Hashing, Mobile Money Fraud Detection and Prediction, Mobile Money SMS and Transaction.

DOI- 10.30696/IJEEA.XIII.I.2025.43-54

Reference to this paper should be made as follows:  PDJAM Xaveria Youh, TAPAMO Kenfack Hyppolyte Michel, Aminou Halidou, Atsa Roger Etoundi, Tekoh Palma Achu, (2025), “A Novel Approach to Mobile Money Smishing and Transaction Fraud Detection and Prediction Using Dynamic Locality Sensitive Hashing”, Int. J. of Electronics Engineering and Applications, Vol. 13, No. 1, pp. 55-78.

Title– EQUATIONS FOR EARTH: THE ROLE OF MATHEMATICAL MODELING IN ACHIEVING SUSTAINABILITY GOALS

Author– Dr. Rekha Tiwary and Dr. Vikram Sharma

Abstract

The global movement toward sustainability demands the integration of interdisciplinary tools to address complex environmental, social, and economic challenges. Among these tools, mathematics, particularly in the form of mathematical modeling, plays a pivotal role in understanding and solving sustainability-related problems. This paper examines the critical role of mathematical modeling in advancing the United Nations Sustainable Development Goals (SDGs) amidst the global movement toward sustainability. By employing techniques such as optimization, simulation, and quantitative analysis, mathematical models provide valuable insights into system dynamics, enabling informed decision-making and strategic planning. Furthermore, the paper discusses future research directions, including the integration of big data and machine learning, interdisciplinary collaborations, and educational initiatives aimed at equipping future generations with the necessary mathematical skills. Ultimately, this exploration underscores the indispensable contribution of mathematics to fostering a sustainable planet and achieving the SDGs.

Index Term– Agrotechnology Transfer, Game theory, Lotka-Volterra equation, General Circulation Models, Nonlinear behaviors.

DOI- 10.30696/IJEEA.XIII.I.2025.79-88

Reference to this paper should be made as follows:  Dr. Rekha Tiwary and Dr. Vikram Sharma, (2025), “Equations for Earth: The Role of Mathematical Modeling in Achieving Sustainability Goal”, Int. J. of Electronics Engineering and Applications, Vol. 13, No. 1, pp. 79-88.