Results 51 to 60 of about 1,896,899 (158)

Multi-identity Fully Homomorphic Encryption Scheme Supporting Threshold Decryption

工程科学与技术, 2019
In order to solve the problem that traditional identity-based fully homomorphic encryption schemes can only perform homomorphic operations and access control on ciphertexts under the same identity, a multi-identity fully homomorphic encryption scheme was
Xiaoyuan YANG, Guangsheng TU, Yongjun KONG, Tanping ZHOU   +3 more
doaj  

Quantum Machine Learning for Cybersecurity: A Taxonomy and Future Directions

Software: Practice and Experience, EarlyView.
ABSTRACT Context The rapid increase in cyber threats, coupled with increasingly sophisticated attack strategies and the exponential growth of data in recent years, has exposed significant limitations in classical machine learning, rule‐based, and signature‐based defense mechanisms.
Siva Sai, Ishika Goyal, Shubham Sharma, Sri Harshita Manuri, Vinay Chamola, Rajkumar Buyya   +5 more
wiley   +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  

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha, Mohammad Kamrul Hasan, Shayla Islam, Shailesh Khapre, Salwani Abdullah, Taher M. Ghazal, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nguyen Vo, Md Akhtaruzzaman   +9 more
wiley   +1 more source

Attribute-based fully homomorphic encryption scheme over rings

Tongxin xuebao, 2017
The fully homomorphic encryption has important applications in the area of data security and privacy security of cloud computing,but the size of secret keys and ciphertext in most of current homomorphic encryption schemes were too large,which restricted ...
Yong-hui ZHENG, Yuan-ji KANG, Chun-xiang GU, Hui DONG   +3 more
doaj   +2 more sources

Fully Homomorphic Encryption without bootstrapping [PDF]

, 2015
Gentry’s bootstrapping technique is the most famous method of obtaining fully homomorphic encryption. In this paper I propose a new fully homomorphic encryption scheme on non-associative octonion ring over finite field without bootstrapping technique ...
Masahiro Yagisawa
core   +1 more source

PPEPV‐RDL: Achieving Privacy‐Preserving, Efficient, Publicly Verifiable Rational Delegation Learning

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Delegation learning is an implementation approach within privacy‐preserving machine learning (PPML). It refers to that the delegator outsources the training task to servers with strong computing power due to its own limited computing resources, and the servers return the correct training results and get the service revenue.
Xinyu Zhang, Zerui Chen, Youliang Tian, Jinbo Xiong, Jianfeng Ma   +4 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  

Overflow-Detectable Floating-Point Fully Homomorphic Encryption

IEEE Access
A floating-point fully homomorphic encryption (FPFHE) is proposed, which is based on torus fully homomorphic encryption equipped with programmable bootstrapping.
Seunghwan Lee, Dong-Joon Shin
doaj   +1 more source

FPGA-Based Hardware Accelerator for Leveled Ring-LWE Fully Homomorphic Encryption

IEEE Access, 2020
Fully homomorphic encryption (FHE) allows arbitrary computation on encrypted data and has great potential in privacy-preserving cloud computing and securely outsource computational tasks.
Yang Su, Bailong Yang, Chen Yang, Luogeng Tian   +3 more
doaj   +1 more source