The learning with errors (LWE) problem has become a central building block of modern
cryptographic constructions. This work collects and presents hardness results for concrete …

Data privacy concerns are increasing significantly in the context of the Internet of Things,
cloud services, edge computing, artificial intelligence applications, and other applications …

Public-key cryptography in use today is based on classically hard problems such as
factoring or solving discrete logarithms. These problems could be efficiently solved if an …

The practice shows that deep strip mining induces rockburst disaster easily. Accurately
evaluating rockburst risk of the strip coal pillar is of great significance for ensuring the safety …

This paper presents a comprehensive examination of post-quantum cryptographic
techniques, also known as quantum encryption, which offer protection against quantum …

Lattice basis reduction is a strong tool in cryptanalysis. In 2017, DeepBKZ was proposed as
a new variant of BKZ, and it calls LLL with deep insertions (DeepLLL) as a subroutine …

This document presents a detailed specification of qTESLA, a family of provably-secure
postquantum signature schemes based on the hardness of the decisional Ring Learning …

The Learning-With-Errors (LWE) problem is a crucial computational challenge with
significant implications for post-quantum cryptography and computational learning theory …

Estimating for the computational cost of solving learning with errors (LWE) problem is an
indispensable research topic to the lattice-based cryptography in practice. For this purpose …

Cloud computing, since its inception, has undergone continuous improvements. Now
federated cloud is realized with seamless integration of diversified clouds. In this context, it is …