Results 161 to 170 of about 6,661,504 (214)

Novel structures of chaos-based parallel multiple image encryption and FPGA implementation. [PDF]

Sci Rep
Hoang TM, Anh PQ, Hoang MH, Tran DQ, Assad SE.   +4 more
europepmc   +1 more source

Improving deep learning-based neural distinguisher with multiple ciphertext pairs for speck and Simon. [PDF]

Sci Rep
Hou Y, Liu J, Han S, Ma Z, Ye X, Nie X.
europepmc   +1 more source

Blockchain driven medical image encryption employing chaotic tent map in cloud computing. [PDF]

Sci Rep
Shahid U, Kanwal S, Bano M, Inam S, Abdalla MEM, Shaikh ZA.   +5 more
europepmc   +1 more source

A Secure and Energy-Efficient Cross-Layer Network Architecture for the Internet of Things. [PDF]

Sensors (Basel)
Mustafa R, Sarkar NI, Mohaghegh M, Pervez S, Morados R.   +4 more
europepmc   +1 more source

Secure image encryption using a 4D chaotic system and Langton's ant cellular automaton. [PDF]

Sci Rep
Alshehri H.
europepmc   +1 more source

Image Encryption Algorithm Based on an Improved Tent Map and Dynamic DNA Coding. [PDF]

Entropy (Basel)
Zhou W, Li X, Xin Z.
europepmc   +1 more source

Securing face images in UAV networks using chaos and DNA cryptography approach. [PDF]

Sci Rep
Inam S, Kanwal S, Amin E, Cheikhrouhou O, Hamdi M.   +4 more
europepmc   +1 more source

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Digital Data Protection Using Feistel Network and DNA Cryptography

2024 International Conference on Advanced Aspects of Software Engineering (ICAASE)
The growing importance of digital data security has led to increased exploration of advanced cryptographic methods, including innovative bio-inspired techniques such as DNA cryptography.
Aya Goudjil, Lylia Djilali, Amira Benabdelmoumene, M'hamed Hamadouche, Mohamed Amine Riahla   +4 more
semanticscholar   +2 more sources

Algebraic Insights into the Secret Feistel Network [PDF]

Fast Software Encryption Workshop, 2016
We introduce the high-degree indicator matrix HDIM, an object closely related with both the linear approximation table and the algebraic normal form ANF of a permutation. We show that the HDIM of a Feistel Network contains very specific patterns depending on the degree of the Feistel functions, the number of rounds and whether the Feistel functions are
Léo Perrin, A. Udovenko
semanticscholar   +3 more sources