Results 101 to 110 of about 13,015 (291)
T‐depth reduction method for efficient SHA‐256 quantum circuit construction
Abstract To perform a quantum brute force attack on a cryptosystem based on Grover's algorithm, it is necessary to implement a quantum circuit of the cryptographic algorithm. Therefore, an efficient quantum circuit design of a given cryptographic algorithm is essential, especially in terms of quantum security analysis, and it is well known that T‐depth
Jongheon Lee+3 more
wiley +1 more source
ABSTRACT Background Standardized surgical approaches to advanced pre‐auricular cutaneous squamous cell carcinomas (cSCC) are lacking. Methods Fifty–four patients who underwent lateral temporal bone resection (LTBR) for pre‐auricular cSCC were grouped into “Levels” of increasing disease spread.
Michael Schachtel+4 more
wiley +1 more source
DeepCatra: Learning flow‐ and graph‐based behaviours for Android malware detection
Abstract As Android malware grows and evolves, deep learning has been introduced into malware detection, resulting in great effectiveness. Recent work is considering hybrid models and multi‐view learning. However, they use only simple features, limiting the accuracy of these approaches in practice.
Yafei Wu+4 more
wiley +1 more source
Improved lattice‐based mix‐nets for electronic voting
Abstract Mix‐networks were first proposed by Chaum in the late 1970s–early 1980s as a general tool for building anonymous communication systems. Classical mix‐net implementations rely on standard public key primitives (e.g., ElGamal encryption) that will become vulnerable when a sufficiently powerful quantum computer will be built.
Valeh Farzaliyev+2 more
wiley +1 more source
Analysis of the Kupyna-256 Hash Function [PDF]
The hash function Kupyna was recently published as the Ukrainian standard DSTU 7564:2014. It is structurally very similar to the SHA-3 finalist GrØstl, but differs in details of the round transformations. Most notably, some of the round constants are added with a modular addition, rather than bitwise xor.
Dobraunig, Christoph+2 more
openaire +2 more sources
A hitchhiker's guide to single‐cell epigenomics: Methods and applications for cancer research
Abstract Genetic mutations are well known to influence tumorigenesis, tumor progression, treatment response and relapse, but the role of epigenetic variation in cancer progression is still largely unexplored. The lack of epigenetic understanding in cancer evolution is in part due to the limited availability of methods to examine such a heterogeneous ...
Marta Moreno‐Gonzalez+2 more
wiley +1 more source
Efficient module learning with errors‐based post‐quantum password‐authenticated key exchange
Abstract Password‐authenticated key exchange (PAKE) is a cryptographic primitive that can establish secure remote communications between the client and the server, especially with the advantage of amplifying memorable passwords into strong session keys.
Peixin Ren, Xiaozhuo Gu, Ziliang Wang
wiley +1 more source
Forecasting Digital Asset Return: An Application of Machine Learning Model
ABSTRACT In this study, we aim to identify the machine learning model that can overcome the limitations of traditional statistical modelling techniques in forecasting Bitcoin prices. Also, we outline the necessary conditions that make the model suitable.
Vito Ciciretti+4 more
wiley +1 more source
Synonym‐based multi‐keyword ranked search with secure k‐NN in 6G network
Abstract Sixth Generation (6G) integrates the next generation communication systems such as maritime, terrestrial, and aerial to offer robust network and massive device connectivity with ultra‐low latency requirement. The cutting edge technologies such as artificial intelligence, quantum machine learning, and millimetre enable hyper‐connectivity to ...
Deebak Bakkiam David, Fadi Al‐Turjman
wiley +1 more source