What are the main challenges of homomorphic encryption?

What are the main challenges of homomorphic encryption?

Homomorphic encryption allows computations on encrypted data, but it faces challenges like high computational cost, limited operations, and complexity in implementation.

Can you explain why the computational cost is a challenge?

The computational cost is high because homomorphic encryption requires more complex algorithms than traditional encryption, leading to slower processing times.

What types of operations are typically limited?

Typically, operations like multiplication and addition are limited, and some schemes only support specific types of computations.

Are there any practical applications for homomorphic encryption?

Yes, practical applications include secure cloud computing, privacy-preserving data analysis, and secure voting systems.

What advancements are being made to overcome these challenges?

Researchers are working on optimizing algorithms, reducing overhead, and developing hybrid approaches to make homomorphic encryption more efficient.