Automated Forensic Artifacts Collection Solution

Cyber attackers can sometimes compromise endpoint machines. They may perform malicious actions that will damage the company. As a result, it is necessary to collect forensics artifacts (Information from the endpoint machine that can be used to trace the attackers' behaviors) from the compromised machine for investigation. With the information we have, we may reconstruct malicious files, determine the goal of these attacks, or know how and when this attack happened. This project aims to automatically collect these forensics artifacts from endpoint machines and upload them to a secure portal.

Feasibility study of a CRISPR/Cas genome editing strategy for the control of wild boar populations

Wild boars (Sus scrofa) are a highly invasive species which causes destructive damages to property and crops and poses a major threat to the Canadian pork industry because wild boars are also reservoirs for infectious diseases, including African swine virus (ASF). Current control and management of the wild boar populations have been ineffective because these animals are highly adaptive to human intervention measures such as fencing and hunting. In this proposal, we explore the feasibility of a genetics-based fertility control strategy.

Automated False Positive Filtering for esNetwork Alerts and Lolbin Detection for Raw Endpoint Telemetry

Pipeline alerts are beneficial to analysts to determine where their attention is needed. However, a high false positive rate leads to a noisy stream and wastes analysts’ time. The first sub-project will aim to classify the alerts as either low or high likelihood of a false positive, allowing analysts to spend their time where it is most effective.Living-off-the-Land binaries (Lolbins) is an increasingly common technique among attackers, yet there is currently little detection for such an attack.

Regulation of granulosa cell autophagy and estradiol production by microRNA in the pig ovary

Fertility improvement is important in both human being and livestock industry. Increasing the oocyte competence is one of the most critical measures for fertility improvement. miRNAs are small non-coding RNAs which can regulate the estrogen production in the ovarian follicles which in turn affecting the oocyte development and competence. However, its underlying mechanism remains unknown.

Investigating Cannflavins A and B as Inhibitors of TrkB Signaling for Treatment of Glioblastoma Multiforme

Glioblastoma is the most common type of adult brain cancer. Glioblastoma tumors are very aggressive because these cells can rapidly invade deep into healthy tissue, which makes them particularly difficult to attack with current treatment options including surgery, radiotherapy, and chemotherapy.

Realistic Synthetic Dataset Generator

The goal of the project is to assess the viability of current synthetic data generation systems. If the generated synthetic data is accurate enough without providing sensitive details it can be used to train machine learning models without needing to share sensitive information. The particular application of this project is to computer logs which can contain sensitive information about the computer systems themselves or the individuals using them.

Security Orchestration, Automation, and Response for Incident Detection and Triage Analysis

When responding to any cybersecurity threat, it is important that a security analyst is able to respond to it as quickly as possible so that they can reduce or eliminate any damage that the threat may cause. However, the high amount of data that must be analyzed when investigating a security event can impact the speed of an investigation. By automating routine incident response processes and orchestrating fundamental investigative approaches, much of the burden of the investigation can be lifted from the analyst.

Enhancing privacy management and governance strategies through metadata driven frameworks

Modern organizations collect and process mass amounts of personal data. This data has the power to individually identify an individual and may be linked to some sensitive information about them. Because of this risk, policies and legislation have been implemented to ensure that personal data is handled in an organized and secure manner. As the scope of personal data collection advances, it is difficult for organizations to ensure compliance with these frameworks. The goal of this project is to investigate the current proposed structures for metadata management of personal information.

Nbwaakaawining binjibaamgad Gkendmaawziwin Wisdom from Knowledge: Documenting and Sharing the Indigenous Biocultural Richness of the Greenbelt

Plenty Canada has partnered with the University of Guelph to launch a biocultural knowledge and mapping project to begin restoring Indigenous knowledge, visibility, and character to the Greenbelt as an important Indigenous cultural landscape in Ontario. Our proposed work builds upon the success of a pilot project that we launched with the Canadian Commission for United Nations Educational, Scientific, and Cultural Organization (CCUNESCO) to document and safeguard important Indigenous heritage resources along the Niagara Escarpment.

Exploring Generation Alpha as Environmental Stewards

In recent years we’ve seen evidence of youth activism related to important social causes. Although much has been written about Millennials and Generation Z, little is known about the generation of young people who are currently at the precipice of adolescence – Generation Alpha (born 2010 and later). This generation will inherit the post-COVID society and will be called upon to meet significant challenges including climate change, economic inequality, Indigenous equity, LGBTQ+ equity, human rights and balancing technological advances with ethical considerations.