Results 51 to 60 of about 1,818,451 (197)
Better Bootstrapping in Fully Homomorphic Encryption [PDF]
, 2012 Gentry's bootstrapping technique is currently the only known method of obtaining a "pure" fully homomorphic encryption (FHE) schemes, and it may offers performance advantages even in cases that do not require pure FHE (e.g., when using the noise-control technique of Brakerski-Gentry-Vaikuntanathan).
Gentry, Craig +2 more
openaire +3 more sources
AI &Innovation, EarlyView.ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury +2 more
wiley +1 more source
Symmetric Ciphers for Fully Homomorphic Encryption [PDF]
, 2020 Fully homomorphic encryption is the latest addition to the world of cryptography. It is a type of encryption that allows operations to be done on ciphertexts, which is not possible with traditional encryption. The field has gained a lot of traction since
Thorvaldsen, Håkon
core
Creating a joint secret key in reducing homomorphic encryption for a class of congruent systems
Безопасность информационных технологий, 2021 Today special attention is paid to homomorphic encryption in the field of information security. Systems of homomorphic encryption represent such systems that allow arbitrary operations over ciphertext that are homomorphic to algebraic operations with ...
Victor Y. Kadykov, Alla B. Levina
doaj +1 more source
Homomorphic Encryption Security For Cloud Computing [PDF]
, 2019 As the Data and Technology is increasing day by day the security and privacy issues are becoming a major concern now a days, with the advent of different security mechanisms there are some bottlenecks.
J.Phani Prasad
core
Evaluation of Privacy-Preserving Support Vector Machine (SVM) Learning Using Homomorphic Encryption [PDF]
The requirement for privacy-aware machine learning increases as we continue to use PII (personally identifiable information) within machine training. To overcome the existing privacy issues, we can apply fully homomorphic encryption (FHE) to encrypt data
Ali, Hisham +3 more
core +1 more source
A Mathematical Approach to Fully Homomorphic Encryption
, 2012 The homomorphic properties of various encryption schemes have been a fascination of the cryptographic community for decades. With the rise of cloud computing and decentralized processing, the need for security in such applications is increasing.
Meissen, Rebecca M.
core +3 more sources
Multi‐omics–driven precision medicine
iMeta, EarlyView.Multi‐omics‐driven precision medicine (MODPM) provides a multiscale, continuously learnable framework that integrates genomics, epigenomics, transcriptomics, proteomics, metabolomics, microbiome profiles, and clinical data. Powered by artificial intelligence and foundation models, MODPM enables cross‐modal representation learning, contextual modeling ...
Huibo Li +20 more
wiley +1 more source
Precision Medical Sciences, EarlyView.Overview of multimodal artificial intelligence (AI) for precision therapeutics. Diverse biomedical data modalities, including multi‐omics, medical imaging, digital pathology, electronic health records, wearable‐device data, and molecular information, are integrated through multimodal AI frameworks incorporating fusion strategies, foundation models ...
Gedion Mengistu Dejen
wiley +1 more source
Threshold Fully Homomorphic Encryption [PDF]
, 2017 We formally define and give the first construction of (leveled) threshold fully homomorphic encryption for any access structure induced by a monotone boolean formula and in particular for the threshold access structure.
Amit Sahai +2 more
core +1 more source