Canadian Cybersecurity Network report highlights surge in OT cyber incidents, rising critical infrastructure vulnerabilities

The event I will be speaking about is the recent rise in cyber incidents targeting Operational Technology systems (OT) and how these systems are increasingly converging with traditional IT networks. This convergence has made OT one of the most attractive and dangerous targets for cybercriminals. Unlike IT systems, which primarily handle data, OT systems control …

SharePoint Critical Zero-Day Vulnerability

Your university and your business operations could face serious risks. The Microsoft SharePoint zero-day attack affected many institutions this past summer. Microsoft is urging administrators to take action and use the latest security updates. This exploit is being used in mass attacks. At least 400 organizations have been confirmed to have been breached. The Washington …

Is the EU about to start scanning your text messages?

Imagine you’re sending a secret message, and suddenly someone decides to check what you’re writing. Strange, right? That’s essentially what’s unfolding in Europe right now. The EU is debating a controversial new plan, known as the “Chat Control” law, which would require messaging apps—including privacy-focused services like WhatsApp, Signal, and iMessage—to scan every user’s chats …

Inside the Largest NPM Hack in History: How a Catastrophe Was Narrowly Avoided

The largest npm hack in history started with a single phished email and almost escalated into a global crisis. Here’s the timeline, impact and the lessons every developer should take away.

When Hackers go North!

House of Commons of Canada Data Breach via Microsoft Vulnerability (August 2025) Figure 1: Cyberattack illustration of Canada’s Parliament (image generated by ChatGPT). If you think hackers only go after banks or tech companies then think twice. Turns out, they have a thing for Parliaments too. According to a CBC News report, in August 2025 Canada’s House …

Apple Disables Advanced Data Protection in the UK: A Privacy Setback?

For decades, Apple has positioned itself as the champion of user privacy. Its offering includes security centered solutions, for example, Advanced Data Protection (ADP) to encrypt iCloud data. Recent changes in UK law have forced Apple to turn off ADP for users in the UK. The Investigatory Powers Act (IPA) 2016 has granted the government …

Social Media Privacy: What Kind of Data Are You Giving Away?

The way we communicate has been changed dramatically due to increased adoption of social media. This convenience is not free. It comes at a cost of our data. Social media users are often not aware of extensive data collection practices of social media platforms. These companies constantly gather information on the users. Sometimes this information …

A Multi-Format Visual Learning Approach to Privacy Concerns in Neural Networks- Teaching Aide

The rapid growth of neural networks has expanded into sectors such as healthcare, finance, and automation. However, alongside these advancements, there are significant data security and privacy concerns. Neural network models often rely on continuous training and large datasets, making them vulnerable to data breaches. Traditional anonymization techniques, such as k-anonymity and l-diversity, frequently fail …

Secure and Scalable Private Data Management System Using Blockchain and Attribute-Based Encryption (ABE)

Introduction, Problem Statement, and Motivation Introduction – Overview of Data Privacy Concerns and Security Challenges Data privacy and security are paramount concerns for individuals, organizations, and governments in today’s digital age. The increasing volume of sensitive data being stored and processed has made it a prime target for cyber-attacks, including threats like data breaches, unauthorized …

Association Rule Mining and Apriori Algorithm(Teaching Aide)

Welcome to our Teaching Aide ! Overview Association rule mining is a key data mining technique used to discover relationships between items in large transactional datasets. This project focuses on the Apriori algorithm, applying it to a grocery transaction dataset from Kaggle to extract meaningful insights into customer purchasing behavior. By identifying frequently co-purchased items, businesses …