In recent years, neural networks and cryptographic schemes have come together in war and
peace; a cross-impact that forms a dichotomy deserving a comprehensive review study …

Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU) are a class of Recurrent
Neural Networks (RNN) suitable for sequential data processing. Bidirectional LSTM …

Phishing activity is undertaken by the hackers to compromise the computer networks and
financial system. A compromised computer system or network provides data and or …

In recent years, NNs, as the basic components in AI models and cryptographic schemes,
have come together in war and peace; a cross-impact forms a dichotomy deserving a …

This book studies the intersection between cryptography and AI, highlighting the significant
cross-impact and potential between the two technologies. The authors first study the …

After some introductory discussions in Sect. 1.1, this chapter studies the role of AI in the
ecosystem of cryptography (Sect. 1.2). The chapter proceeds to study the role of …

Abstract Machine learning in general, and artificial neural networks in particular have been
used in many fields, and especially in cryptanalysis, showing good results for the recovery …

This paper focuses on modern cipher types classification mechanism using convolutional
neural networks (CNNs). In case of ciphertext-only-attack, it is momentous to a cryptanalyst …