ITDS | SPMS

EXAMINING THE ROLE OF SOCIAL MEDIA IN THE SPREAD OF CYBERCRIME

Project Description
Supervisor

The rise of social media has transformed communication and connectivity, yet it has also opened new avenues for cybercrime. This project explores the intersection of social media platforms and cybercriminal activities, examining how these platforms facilitate crimes such as identity theft, cyberbullying, phishing, exploit, generic attacks, backdoor, shellcode, worms, reconnaissance, denial of service attack, fuzzers and misinformation. Through a comprehensive literature review and analysis of case studies, the research highlights the vulnerabilities inherent in social media usage and the challenges in enforcing cybersecurity measures. Additionally, the study investigates the role of user behavior in mitigating risks and proposes strategies for enhancing online safety, including improved privacy settings, user education, and platform accountability. Ultimately, this project aims to raise awareness of the implications of cybercrime in the digital age and contribute to the development of more secure online environments.

Artificial Intelligence: Artificial Intelligence (AI) research in Computer Science and Information Technology explores the development of systems and algorithms that can perform tasks typically requiring human intelligence. These tasks include problem-solving, decision-making, learning, perception, and language understanding. AI research is a vast and interdisciplinary field, encompassing a variety of areas such as machine learning, natural language processing, computer vision, robotics, and cognitive computing. Machine learning (ML) is a core component of AI research. It focuses on creating algorithms that allow computers to learn from data, improve over time, and make predictions or decisions without explicit programming. Subfields of ML include supervised learning, unsupervised learning, reinforcement learning, and deep learning, with applications ranging from image recognition to recommendation systems. Natural language processing (NLP) is another critical area within AI research. It aims to enable machines to understand, interpret, and respond to human language. Researchers in NLP work on tasks like speech recognition, language translation, and sentiment analysis, making it possible for computers to interact with humans in a more natural and intuitive way.