Cybersecurity Data Collection Research Assistant

The main objective of the project, focusing on cybersecurity data collection and labeling for vulnerability management, is to enhance the understanding and management of cybersecurity vulnerabilities. This project aims to engage students in the crucial task of gathering, analyzing, and labeling data related to cybersecurity threats and vulnerabilities. Problem to Solve: Students will be tasked with addressing the challenge of identifying and categorizing various types of cybersecurity vulnerabilities. This involves the collection of vast amounts of data from different sources, such as security logs, network traffic, and public vulnerability databases. The key challenge lies in accurately analyzing and interpreting this data to identify potential vulnerabilities. Expected Outcome: By the end of the project, students are expected to achieve the following outcomes: 1. Comprehensive Data Collection: Students should be able to gather relevant cybersecurity data from multiple sources systematically. This includes understanding where to find data and how to extract it efficiently. 2. Effective Data Labeling and Categorization: Students should develop skills to accurately label and categorize the collected data based on the type and severity of the vulnerabilities. This involves understanding different types of cybersecurity threats and their characteristics. 3. Vulnerability Analysis Skills: Students should be able to analyze the labeled data to identify patterns or trends that could indicate potential security vulnerabilities or breaches. 4. Reporting and Documentation: Students should be able to document their findings in a clear and concise manner, providing insights and recommendations for vulnerability management and mitigation strategies. 5. Awareness of Ethical and Legal Considerations: Students should understand and adhere to ethical and legal standards in data handling, particularly regarding sensitive or personal information. 6. Collaborative Skills: Given the complexity of cybersecurity, students should also learn to collaborate effectively, sharing insights and combining expertise to tackle multifaceted problems. The success of this project lies in its ability to equip students with practical skills in handling real-world cybersecurity challenges, enhancing their ability to identify, analyze, and manage cybersecurity vulnerabilities in various environments.

Analysis of Supply and Demand of Carbon credits in Canada's Environmental Trading System(TIER,CFR,BC LCFS and Credits)

The goal of this project is to analyze the supply and demand dynamics within Canadas Environmental Trading Systems,(TIER,CFR,BC LCFS,BC OBPS) focusing on key fundamental drivers such as market participants activities, operational efficiencies, technology adoption and government policies using current,near-term and long term horizons. The analysis should also consider and speculate on potential future drivers and their effects on carbon pricing and trends. This project aims to provide valuable insights for Strom Futures and its clients, enabling them to forecast price movements and make informed decisions. The project will involve data collection, statistical analysis, and the creation of a comprehensive report summarizing the findings. Key tasks include: - Collecting and analyzing data on current supply and demand drivers in the Environmental Trading System. - Identifying and evaluating key drivers, including market participants, technologies, industry operations/trends and government policies. - Forecasting future trends and potential impacts on carbon pricing. - Compiling findings into a detailed report with actionable insights.