Long Short-Term memory (LSTM) architecture is a well-known approach for building recurrent neural networks (RNN) useful in sequential processing of data in application to natural language processing.

This paper proposes a performance comparison of 64-bit KASUMI block cipher architectures based on speed vs. area trade-offs. The analysis includes 8-rounds KASUMI architectures for high-speed designs, ...