Results 41 to 50 of about 10,407,854 (368)
A General Two-Step Approach to Learning-Based Hashing [PDF]
, 2013 Most existing approaches to hashing apply a single form of hash function, and an optimization process which is typically deeply coupled to this specific form.
Hengel, Anton van den +3 more
core +1 more source
CAAI Transactions on Intelligence Technology, EarlyView., 2023 Abstract This research focuses on addressing the privacy issues in healthcare advancement monitoring with the rapid establishment of the decentralised communication system in the Internet of Medical Things (IoMT). An integrated blockchain homomorphic encryption standard with an in‐build supervised learning‐based smart contract is designed to improvise ...
Chandramohan Dhasarathan +7 more
wiley +1 more source
Real World Applications of MGR, Neeva and KN-Hash
Journal of Applied Computer Science & Mathematics, 2018 Hash functions have prominent role in cryptography because of their ubiquitous applications in real world. Earlier, it was used for authentication only but with continuous research and development, it has been started using in almost every branch of ...
Khushboo BUSSI +2 more
doaj +1 more source
The breaking of the AR Hash Function [PDF]
DAIMI Report Series, 1993 <p>The AR hash function has been proposed by <em> Algorithmic Research Ltd</em>. It has been circulated in the ISO community (Working group 2, document WG2/N179), and is currently being used in practice in the German banking world. AR hash is based on DES and a variant of the CBC mode.
Damgård, Ivan Bjerre +1 more
openaire +5 more sources
Discrete Semantics-Guided Asymmetric Hashing for Large-Scale Multimedia Retrieval
Applied Sciences, 2021 Cross-modal hashing technology is a key technology for real-time retrieval of large-scale multimedia data in real-world applications. Although the existing cross-modal hashing methods have achieved impressive accomplishment, there are still some ...
Jun Long +3 more
doaj +1 more source
Grayscale Image Authentication using Neural Hashing
, 2016 Many different approaches for neural network based hash functions have been proposed. Statistical analysis must correlate security of them. This paper proposes novel neural hashing approach for gray scale image authentication.
Kutlu, Yakup, Yayık, Apdullah
core +2 more sources
Bottom-k and Priority Sampling, Set Similarity and Subset Sums with Minimal Independence [PDF]
, 2013 We consider bottom-k sampling for a set X, picking a sample S_k(X) consisting of the k elements that are smallest according to a given hash function h. With this sample we can estimate the relative size f=|Y|/|X| of any subset Y as |S_k(X) intersect Y|/k.
Thorup, Mikkel
core +1 more source
Extended integer tent maps and dynamic hash function
Tongxin xuebao, 2010 Based on the analysis of uniform distribution property of the extended integer tent maps,a novel dynamic hash function with the output length of 160bit was constructed.In addition,the MD structure was improved so that the capacity of collision resistance
LIU Jian-dong
doaj +2 more sources
Journal of King Saud University: Computer and Information Sciences, 2022 Provably secure keyless hash function uses Random Oracle (RO) or Sponge principles for the design and construction of security-centric hash algorithms. It capitalizes the aforesaid principles to produce outcomes like MD2, MD5, SHA-160, SHA-224/256, SHA ...
P. Karthik, P. Shanthi Bala
doaj
HMNT: Hash Function Based on New Mersenne Number Transform
IEEE Access, 2020 In the field of information security, hash functions are considered important as they are used to ensure message integrity and authentication. Despite various available methods to design hash functions, the methods have been proven to time inefficient ...
Ali Maetouq, Salwani Mohd Daud
doaj +1 more source