Data Compression and Encryption

Inspiration

The need for secure and efficient data transmission inspired us to combine compression and encryption. We drew motivation from cloud storage, secure messaging, and data streaming solutions. Our goal was to create a lightweight yet robust system to handle sensitive data.

What it does

Compresses data to save space and encrypts it to ensure confidentiality. It combines run-length encoding (RLE) for compression and XOR-based encryption for security. The system is simple, fast, and suitable for various data types.

How we built it

We implemented a C program combining RLE for compression and XOR for encryption. The program processes user input, compresses it, encrypts it, and allows decryption. A modular approach was used to keep the code clean and scalable.

Challenges we ran into

Balancing compression efficiency with encryption speed was tricky. Ensuring data integrity during decompression and decryption required extra checks. Debugging encryption issues while maintaining user-friendly output was a challenge.

Accomplishments that we're proud of

Successfully combined two processes (compression and encryption) in a seamless workflow. Achieved a compact, efficient solution with strong data integrity and security. Gained a deeper understanding of algorithms and their practical integration.

What we learned

How compression and encryption complement each other in data handling. The importance of testing edge cases for both compression and encryption. That designing secure and efficient systems requires careful planning and testing.

What's next for Data Compression and Encryption

We plan to integrate more advanced algorithms, such as Huffman coding and AES encryption, for better efficiency and security. Future versions will focus on optimizing for real-time applications like IoT and secure messaging. Exploring machine learning techniques to adapt compression based on data patterns is also on the roadmap.

Built With

• c