Week 0 Blog: Adaptive Encryption Using AI

Hi everyone! Welcome to my first blog post! Tune in here weekly to follow my journey as I face the challenges of my Senior Project, where I’ll explore the intersection of cybersecurity and AI to determine another approach to encryption as cyber threats are evolving.

Cybersecurity has always fascinated me because it’s an constantly changing field where innovation meets necessity. In today’s digital age, the risks of data breaches and cyberattacks are higher than ever, and traditional encryption methods like AES and RSA—while reliable—are being pushed to their limits. Attackers are adapting faster than ever, and our current, one-size-fits-all encryption strategies are struggling to keep up. That’s where my passion for combining AI and cybersecurity comes into play.

The rapid evolution of cyberattacks poses unique challenges. Attackers now employ advanced techniques that traditional encryption methods aren’t always equipped to handle. On top of that, current cybersecurity strategies often rely on overlaying multiple encryption algorithms to secure data. While effective in some cases, this approach requires significant computing power, making it both resource-intensive and inefficient. This inefficiency inspired me to create a more adaptive, efficient, and dynamic encryption approach—one that can analyze threats in real time and respond with tailored solutions.

My project’s core idea is to use artificial intelligence to analyze different types of cyberattacks and predict the most effective encryption methods—or combinations of methods—for each threat. Think of it as giving encryption a brain. Instead of blindly applying algorithms, the system will intelligently match the right tools to the right problems. This approach not only strengthens security but also minimizes the computational burden, creating a smarter and more efficient way to protect data.

As I embark on this project, I envision three key components coming together. First, I will train an AI model to recognize and classify various types of cyberattacks. This will involve studying real-world data and teaching the model to understand the patterns and behaviors of different threats. Next, I will develop a system that recommends encryption strategies in real time, tailoring the solution to the specific attack. Finally, I will build a Proof of Concept (POC) to demonstrate how this adaptive encryption system works in a controlled testing environment. Through this POC, I hope to validate the practicality and effectiveness of my approach. By combining the power of AI with the fundamentals of encryption, I hope to create a system that not only adapts to threats but also sets a new standard for efficiency and security.

I’m so excited to dive deeper into this project and share my progress with you. From the challenges I’ll face to the breakthroughs I’ll achieve, I’ll be documenting every step of this journey. Stay tuned, and let’s see where this adventure in adaptive encryption takes us!