Asymmetric Cryptography

Asymmetric cryptography secures communication by using separate keys for encryption and decryption, ensuring only the intended recipient can access information. Current research focuses on improving efficiency and security, particularly in the context of cloud computing and machine learning, exploring techniques like neural network implementations of elliptic curve cryptography and homomorphic encryption schemes (e.g., Paillier cryptosystem) to enable computation on encrypted data. These advancements address privacy concerns in distributed systems and the growing threat of quantum computing, with ongoing efforts to develop post-quantum cryptographic methods and enhance the security of existing algorithms. The impact spans secure data sharing, privacy-preserving machine learning, and the development of robust and efficient cryptographic systems for various applications.