Browsing by Author "Yonas Mekonnen"

Now showing 1 - 2 of 2
  • No Thumbnail Available
    Item
    A Framework for Detecting Multiple Cyberattacks in IoT Environment
    (Addis Ababa University, 2025-02-25) Yonas Mekonnen; Mesfin Kifle (PhD)
    The Internet of Things refers to the growing trend of embedding ubiquitous and pervasive computing capabilities through sensor networks and internet connectivity. The growth and expansion of newly evolved cyberattacks, network patterns and heterogeneous nature of cyberattacks trend has become the warfare across the globe and challenges to apply single layer cyberattacks detection techniques to the Internet of Things. This research work identified the lack of cyberattacks detection framework as the major gap for detection of multiple cyberattacks such as denial of services, distributed denial of services, and Mairi attacks while it includes multiple parameters at the same time. The proposed framework contains three modules; data acquisition and preprocessing module that is responsible for capturing and pre-processing the captured data and ready for the construction of the model, then the attack detection module which is the core engine that orchestrates the detection of cyberattacks, the third module notifies and displays the results in a dashboard. This research study used multiple parameters including multiple attack classes, network packet patterns, and three scaler types namely no scaler, MinMax, and Standard, and regardless of the defined parameters used, minmax scaler followed by standard scaler gives better detection performance than models trained with no scaler. The proposed framework is trained and evaluated with different models including CNN, Hybrid, FFNN, and LSTM provides a result of 91.42%, 82.75%, and 78.38% ,74.83% detection accuracy respectively where it is observed that CNN model outperforms the optimal results among followed by hybrid and FFNN.
  • No Thumbnail Available
    Item
    The Effect of Corporate Social Responsibility on Banks’ Competitive Advantage: The Case of Bunna Bank S.C
    (A.A.U, 2024-02-28) Yonas Mekonnen; Meskrem Mitiku
    The contemporary economic climate in a developing country is competitive due to globalization and technical advancement, necessitating a firm’s participation in CSR to maintain its competitiveness. Therefore, this study prioritized the contribution of these CSR stakeholders to the banking industry’s competitive advantage and examined the relationship between various CSR engagement dimensions (customer, employee, community, and environmental). The study used Simple Random Sampling with a framework of stratified sampling technique. The study employed correlation and regression analyses to explore the relationships between these variables and analyze their relationships. Additionally, hypotheses were formulated to demonstrate how the independent variables (customer, employee, community, and environmental) of corporate social responsibility impact the dependent variable of competitive advantage. To this end, a structured 5-point Likert scale close ended questionnaire-based survey was employed to collect data. Descriptive statistics also conducted in the research through the aid of SPSS 26th statistical tools. The findings revealed that different stakeholders of CSR (like customers, the community, employees, and the environment) had a positive impact on the elements that make a bank stand out competitively. Specifically, Bunna bank S.C is most focused on customer-related CSR, considering it the most crucial factor for their competitive advantage. On the other hand, they pay the least attention to CSR related to the environment. Therefore, it's suggested that bank employees should give more importance to environment-related CSR and incorporate it into the company's business operations. This could have a significant impact on the bank's competitive advantage, ensuring sustainable development.