This project aims to build a machine learning based classifier to distinguish between various classical ciphers. Classical ciphers are historical encryption techniques that perform simple substitution ...
Vectorized each input sentence by encoding each word in a sentence with its corresponding frequency rank; used top 20,000 words as vocabulary size. Neural Word Embeddings were used (Keras Embedding ...
Abstract: This paper studies the security of a recently-proposed 3D chaotic self-synchronization stream cipher. According to the chosen-ciphertext attack, a single key decipher algorithm is further ...
Abstract: A ciphertext mapping method based on Gray code is proposed to improve the security of quantum noise stream cipher (QNSC). The experiment is conducted in 1024 × 1024 -quadrature amplitude ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results