In this chapter we will look at choosing and optimizing cryptographic algorithms, particularly for resource-constrained systems, such as embedded systems. We will look at various strategies for ...

In the previous blog post, “Securing Offload Engines for a Robust Secure SoC System,” we briefly looked at some of the methods employed for achieving embedded security, i.e., cryptography, hardware ...

The Quantum Almanac 2026–2027: Signal Over Noise on Quantum Risk to Data Security, authored by J. Nathaniel Ader, was released on March 4, 2026. The publication explores how emerging quantum ...

The field of neural cryptography explores innovative methods for secure key exchange by harnessing the synchronisation capabilities intrinsic to artificial neural networks. Unlike conventional ...

The federal government has drawn a line: encryption that protects bank transactions, power grids, and classified communications will not survive the arrival of large-scale quantum computers, and the ...

Paytinel’s analysis of how encryption keeps payment data safe when it's sent and stored, lowers fraud risks, helps confirm identities, and makes payment systems more secure.

Abstract: An integrated, modular computer program system provides for the encryption and decryption of files utilizing conventional encryption algorithms and a relational key generated by the system.

As technological advancements surge forward, the specter of quantum computing looms ever larger. While the promise of quantum computers holds the potential to revolutionize fields like weather ...