The problem of malicious software (malware) detection and classification is a complex task,
and there is no perfect approach. There is still a lot of work to be done. Unlike most other …

The differential attack is a basic cryptanalytic technique for block ciphers. Application of
machine learning shows promising results for the differential cryptanalysis. In this paper, we …

Abstract Differential Fault Analysis (DFA) is a well-known cryptanalytic technique that
exploits faulty outputs of an encryption device. Despite its popularity and similarity with the …

Deep learning has played an important role in many fields. It shows significant potential to
cryptanalysis. Differential cryptanalysis is an important method in the field of block cipher …

Both the diffusion property and the area consumption are two important evaluation criteria in
the design and implementation of symmetric encryption algorithms. Many AND-Rotation …

Since the introduction of differential-neural cryptanalysis, as the machine learning assisted
differential cryptanalysis proposed in [Goh19] is coined by now, a lot of followup works have …

Recent years have seen a major involvement of deep learning architecture in the
cryptanalysis of various lightweight ciphers. The present study is inspired by the work of …

Neural-aided cryptanalysis is a challenging topic, in which the neural distinguisher () is a
core module. In this paper, we propose a new considering multiple ciphertext pairs …

As IoT technology develops, many sensor devices are being used in our life. To protect such
sensor data, lightweight block cipher techniques such as SPECK-32 are applied. However …

Symmetric key cryptography is one of the cornerstones of security in the modern era of
electronic communication. The symmetric key algorithms, known as the ciphers, are to …