Final Year Projects
- Obstacles avoidance system for visual impaired person, Python, (https://github.com/minheinhtet/objectTraining)
- Facial Recognition Attendance Taking Mobile App (https://github.com/joncool99/FYP)
- Devops Project with Java (https://github.com/devops-set09623)
Cyber Security Projects
- Network Vulnerability Assessment
- Python-based Backdoor Program
- Web Application Penetration Testing
- Subdirectory Enumeration Script
Advanced Web Technology
- Developed expertise in both server- and client-side web technologies, with an emphasis on understanding HTTP protocols and building APIs, Web Services, and RESTful architectures to facilitate data exchange.
- Gained hands-on experience in designing and implementing web applications and APIs using Python and the Flask micro-framework, deployed on WSGI-capable servers for scalability and security.
- Explored key topics such as security and privacy, the Semantic Web, Realtime Web interaction, and Dark Web technologies, deepening knowledge in advanced and emerging web trends.
- Conducted research on future web technologies, including Blockchain and IPFS, gaining insight into potential innovations and their implications for web development.
Programming for Cybersecurity and Digital Forensics
This module expanded my understanding of both fundamental and advanced programming concepts with a focus on real-world applications in cybersecurity, digital forensics, and networking. Python was the primary language used, providing hands-on experience with programming and scripting techniques widely utilized in security-related fields. Key learning topics included: Introduction to Python and Application Development: Gained foundational skills in Python, emphasizing its use as a general-purpose scripting language for security tasks.
- Functions, Modules, and Libraries: Developed modular applications using functions, packages, and libraries, enhancing code efficiency and maintainability.
- Exception Handling, Testing, and Debugging: Applied coding techniques to improve the reliability and stability of scripts, including robust error handling and systematic debugging.
- Data Handling and External Applications: Worked with diverse data sources (e.g., text files, databases, network traces), leveraging Python to process, analyze, and visualize data for security investigations.
- Algorithms and Complexity: Explored algorithms such as sorting and searching, analyzing their efficiency through theoretical (Big-O notation) and practical (timing) approaches.
- Mathematical Concepts for Computing: Integrated discrete mathematics concepts—permutations, sampling, randomness—important for security applications.
Practical Case Studies:
- Encryption and Decryption: Implemented a simple Caesar cipher to understand basic cryptographic methods and principles.
- Password Cracking: Practiced brute force and dictionary attacks to simulate password-breaking techniques in controlled environments.
- Web Reconnaissance: Built web scraping scripts to gather information, such as email addresses and links, from websites for reconnaissance purposes.
- Network Traffic Analysis: Analyzed network logs to extract traffic patterns and mapped IP addresses for geolocation, applying data parsing skills.
- Algorithm Performance Analysis: Compared the performance of various algorithms (e.g., spell-checking) to understand the computational trade-offs in different implementations.
This module provided a strong foundation in programming for cybersecurity and forensics applications, combining theory and practice to prepare for real-world challenges in digital security.
DevOps and Modern Software Delivery (https://github.com/devops-set09623)
- Acquired practical and theoretical knowledge of DevOps, focusing on integrating software development and operations to streamline continuous delivery and improvement within the software development lifecycle.
- Developed skills in utilizing agile and lean methodologies to enhance development workflows, with a process-centered approach to software delivery and maintenance.
Engaged in a series of workshops that provided hands-on experience in key DevOps practices, including:
- Version control and workflow management
- Continuous integration and delivery (CI/CD)
- Requirements and issue tracking
- Task management using Kanban and pull-based scheduling
- UML and Model-Driven Development (MDD)
- Unit Testing and Test-Driven Development (TDD)
- Deployment processes
- Bug reporting and tracking mechanisms
- Ethics, professionalism, and security in software practices
This module equipped me with advanced skills in managing the complete software development process using modern DevOps tools and practices, emphasizing process efficiency and professional standards in software delivery.
Security Audit & Compliance
- Developed a comprehensive understanding of the legal, regulatory, and professional frameworks guiding information security, with a focus on professional standards and report writing.
- Examined key laws and regulations at both national and international levels, including Data Protection, computer misuse laws, and other pertinent legal issues.
- Studied governance frameworks such as ISACA’s COBIT and ISO standards (notably ISO 27000), analyzing their application within information security and understanding their impact on organizational security policies.
- Explored the roles and distinctions within the information security field, including audit, forensics, and security management, along with professional ethics and codes of practice.
- Gained insights into risk management and developed skills in contingency and continuity planning, applying COBIT domains for practical governance and risk assessment.
This module enhanced my ability to apply governance models and risk management strategies in real-world scenarios, strengthening my professional competencies in information security and compliance.
Data Analytics and Wrangling
Edinburgh Napier University
- Gained specialized knowledge in handling and analyzing unstructured data, focusing on data-driven applications to address contemporary challenges in data acquisition and analysis from sources such as social media and text reviews.
- Acquired skills in data preparation, including data collection, feature generation, and selection, as well as data pre-processing techniques like data quality assessment, cleaning, and integration.
- Developed expertise in data analysis, exploring methods such as correlation, regression, forecasting, classification, and clustering, alongside machine learning techniques used in data mining.
- Conducted post-processing tasks, focusing on data visualization, interpretation, and evaluation to transform complex data insights into actionable knowledge.
- Worked with various data types, including numerical, time-series, and unstructured data, and gained experience with open data sources, APIs, and heterogeneous data sets.
- Built data-driven applications using Python, leveraging libraries and tools such as Pandas, SciPy, NLTK, OpenRefine, and Weka for robust data processing and analysis.
This module provided comprehensive skills in computational thinking, data modeling, requirements analysis, and practical development, preparing me to handle diverse data environments and deliver impactful data-driven solutions in real-world contexts.
