-
Federated Learning (FL) is a machine learning methodology that allows remote devices to collectively train a learning system without sharing their data. FL-based methods provide enhanced secure privacy by transmitting only localized model variables, learned wi…
crossref
Dr.R. Mohandas, Dr.S. Veena, G. Kirubasri, I. Thusnavis Bella Mary 等
2024-07-17T03:05:19Z
置信度 0.70
-
crossref
Syed Imtiaz Ahamed, Vadlamani Ravi
2024-07-22T16:02:39Z
置信度 0.70
-
crossref
Ammar H. Shnain, Neeraj Varshney, Sana Afreen, M. Suganya 等
2025-03-21T15:02:30Z
置信度 0.70
-
crossref
Lisa Biswas
2025-10-12T13:55:32Z
置信度 0.70
-
crossref
T.D. Ramotsoela, G.P. Hancke
2015-11-23T22:50:11Z
置信度 0.70
-
crossref
Christoforos N. Hadjicostis
2019-01-24T00:12:50Z
置信度 0.70
-
crossref
Yunsoo Park, Lynin Sokhonn, Munkyu Lee
2024-03-25T03:11:12Z
置信度 0.70
-
crossref
Amandeep Kaur, Nagendra Gajjar, Vijay Savani
2024-09-30T08:03:49Z
置信度 0.70
-
Ensuring secure and efficient data processing in mobile edge computing (MEC) systems is a critical challenge. While quantum key distribution (QKD) offers unconditionally secure key exchange and homomorphic encryption (HE) enables privacy-preserving data proces…
crossref
Liangxin Qian, Yang Li, Jun Zhao
2025-07-24T21:52:34Z
置信度 0.70
-
crossref
Samuel K. Moore
2024-01-03T19:49:09Z
置信度 0.70
-
crossref
Akshay Wali, Harikrishnan Ravichandran, Saptarshi Das
2024-06-07T00:03:41Z
置信度 0.70
-
Inspired by the advancements in (fully) homomorphic encryption in recent decades and its practical applications, we conducted a preliminary study on the underlying mathematical structure of the corresponding schemes. Hence, this paper focuses on investigating …
crossref
Diana Maimuţ, George Teşeleanu
2023-06-06T02:08:15Z
置信度 0.70
-
In the context of the digital age, data privacy and security issues are increasingly prominent. Blockchain technology plays an important role in data sharing due to its transparency and immutability, but it also brings the risk of privacy leakage. Zero knowled…
crossref
Yueran Zhuo
2024-10-23T03:15:34Z
置信度 0.70
-
crossref
Ganesh Kumar Mahato, Aiswaryya Banerjee, Swarnendu Kumar Chakraborty, Xiao-Zhi Gao
2024-10-30T18:35:28Z
置信度 0.70
-
crossref
Chengbo Xu, Shuying Yang
2018-05-28T15:32:57Z
置信度 0.70
-
crossref
Liquan Chen, Hongmei Ben, Jie Huang
2015-03-25T17:36:10Z
置信度 0.70
-
crossref
Jung Hee Cheon, Jinsu Kim
2015-02-02T20:20:43Z
置信度 0.70
-
crossref
2026-04-01T21:06:30Z
置信度 0.70
-
crossref
Bharat S. Rawal
2025-12-31T18:41:12Z
置信度 0.70
-
crossref
Janak Dhokrat, Namita Pulgam, Vanita Mane, Tabassum Maktum
2025-01-10T15:15:55Z
置信度 0.70
-
As a popular paradigm, crowd-sensing network emerges to achieve sensory data collection and task allocation to mobile users. On one hand these sensory data may be private and sensitive, and on the other hand, data transmission separately could incur heavy comm…
crossref
Daxin Huang, Qingqing Gan, Xiaoming Wang, Chengpeng Huang 等
2022-07-27T03:03:06Z
置信度 0.70
-
crossref
Tzyy-Shiuan Yang, Qi-Xian Wu, Ming-Der Shieh, Tsung-Han Tsai
2025-01-28T18:32:08Z
置信度 0.70
-
With more and more people using cloud computing and storing and handling data remotely, protecting the privacy and safety of private data has become very important. Homomorphic encryption and safe multi-party computing (MPC) are two new mathematics tools that …
crossref
Mayuri Arun Gaikwad
2024-11-15T10:05:13Z
置信度 0.70
-
crossref
Luca Colombo, Alessandro Falcetta, Manuel Roveri
2024-11-19T18:23:11Z
置信度 0.70
-
crossref
Yiming Zhang, Wei Zhang, Cong Shen
2024-08-09T12:22:28Z
置信度 0.70
-
crossref
T P Kamatchi, K Anitha Kumari
2023-04-19T13:21:57Z
置信度 0.70
-
crossref
Aagii Thomas, Sana Belguith
2026-03-17T04:15:06Z
置信度 0.70
-
crossref
Zhenyang Yan, Yujian Ye, Xijin Guo, Hao Hu 等
2024-12-30T19:19:37Z
置信度 0.70
-
crossref
S Naresh, Gadhiraju Varma, D Ayyappa
2025-07-08T18:51:19Z
置信度 0.70
-
crossref
Habib Aissaoua, Abdelkader Laouid, Mostefa Kara, Ahcène Bounceur 等
2024-10-24T02:30:04Z
置信度 0.70
-
crossref
David Palma, Pier Luca Montessoro
2024-12-05T19:13:43Z
置信度 0.70
-
crossref
Yan Guang, Yue-fei Zhu, Chun-xiang Gu, Yong-hui Zheng 等
2014-02-23T01:58:56Z
置信度 0.70
-
crossref
Viplove Bansal
2022-02-15T06:38:50Z
置信度 0.70
-
crossref
Xuehai Chen, Yantong Lin, Zhimin Liang, Zhenmin He
2025-12-20T23:25:17Z
置信度 0.70
-
Abstract In recent years, machine learning (ML) has become increasingly popular in various fields of activity. Cloud platforms have also grown in popularity, as they offer services that are more secure and accessible worldwide. In this context, cloud-based tec…
crossref
Diana-Elena Petrean, Rodica Potolea
2024-03-14T12:01:45Z
置信度 0.70
-
crossref
Pengyu Yao, Di Zhang, Min Guo, Xun Shao
2025-02-20T20:05:50Z
置信度 0.70
-
crossref
R. Naveenkumar, N. M. Sivamangai, A. Napolean, S. Sridevi Sathyapriya
2023-08-01T00:02:13Z
置信度 0.70
-
In the recent times, the use of cloud computing has gained popularity all over the world. There are lots of benefits associated with the use of this modern technology, however, there is a concern about the security of information during computation. A homomorp…
crossref
Timothy Oladunni, Sharad Sharma
2019-09-28T00:26:45Z
置信度 0.70
-
crossref
Mark A. Will, Ryan K.L. Ko
2015-06-05T20:15:13Z
置信度 0.70
-
crossref
Ryan Hayward, Chia Chu Chiang
2014-07-29T14:36:17Z
置信度 0.70
-
crossref
Çetin Kaya Koç, Funda Özdemir, Zeynep Ödemiş Özger
2021-09-29T19:04:24Z
置信度 0.70
-
crossref
Çetin Kaya Koç, Funda Özdemir, Zeynep Ödemiş Özger
2021-09-29T19:04:24Z
置信度 0.70
-
crossref
Çetin Kaya Koç, Funda Özdemir, Zeynep Ödemiş Özger
2021-09-29T19:04:24Z
置信度 0.70
-
Providing security and privacy for the cloud data is one of the most difficult tasks in recent days. The privacy of the sensitive information ought to be protecting from the unauthorized access for enhancing its security. Security is provided using traditional…
crossref
2019-05-30T05:03:23Z
置信度 0.70
-
crossref
Jaydip Sen
2013-07-18T08:46:06Z
置信度 0.70
-
crossref
S. Hamsanandhini, P. Balasubramanie
2024-06-06T16:50:06Z
置信度 0.70
-
crossref
Pia Bauspieß, Lasse Vad, Håvard Myrekrok, Anamaria Costache 等
2023-03-04T05:14:25Z
置信度 0.70
-
crossref
Çetin Kaya Koç, Funda Özdemir, Zeynep Ödemiş Özger
2021-09-29T19:04:24Z
置信度 0.70
-
With the exponential growth of Big Data, preserving the privacy and security of sensitive information during analysis has become a critical concern. Traditional encryption methods often hinder data usability, making it difficult to analyze encrypted data witho…
crossref
Dr. Faizan Ali
2026-04-11T09:25:02Z
置信度 0.70
-
crossref
Dadmehr Rahbari, Masoud Daneshtalab, Maksim Jenihhin
2025-10-15T13:41:41Z
置信度 0.70
-
crossref
R. Kanagavalli, Vagdevi S.
2019-12-28T11:32:00Z
置信度 0.70
-
crossref
P. Rathinakumar, R. Dhivya, S. Prasath, K N Jayapriya 等
2025-09-03T17:48:17Z
置信度 0.70
-
crossref
Guangsheng Ma, Hongbo Li
2024-08-30T11:03:18Z
置信度 0.70
-
crossref
Kooragayala Sukeerthi, R. Kesavan, S.A. Kalaiselvan
2025-04-22T17:37:25Z
置信度 0.70
-
crossref
Muhammad Haidar Wijaya, Sa'aadah S Carita, Sri Rosdiana, Mareta Wahyu Ardyani
2025-04-18T17:35:15Z
置信度 0.70
-
crossref
Negar Neda, Austin Ebel, Benedict Reynwar, Brandon Reagen
2024-07-16T13:19:44Z
置信度 0.70
-
crossref
Yashrajsinh Parmar, Florian Caullery, Sonali Kale
2024-12-27T19:10:26Z
置信度 0.70
-
crossref
Apurva Mishra, Rajiv Bhalla
2025-04-29T17:29:34Z
置信度 0.70
-
crossref
Wenye Liu, Nazim Altar Koca, Chip-Hong Chang
2024-08-14T17:28:02Z
置信度 0.70
-
crossref
Zhang Wei
2015-11-02T18:14:49Z
置信度 0.70
-
crossref
Reda Bellafqira, Gouenou Coatrieux, Dalel Bouslimi, Gwénolé Quellec 等
2017-12-04T19:18:32Z
置信度 0.70
-
crossref
Lingli Liu, Xiongxiong Du, Mingcheng Ma, Dong Wang
2025-02-20T12:46:06Z
置信度 0.70
-
crossref
Wentao Yang, Yang Bai, Yutang Rao, Hongyan Wu 等
2024-07-31T20:34:15Z
置信度 0.70
-
Homomorphic encryption is an important means for cloud computing to ensure information security when outsourcing data. Among them, threshold fully homomorphic encryption (ThFHE) is a key enabler for homomorphic encryption and, from a wider perspective, secure …
crossref
Xu Zhao, Zheng Yuan
2025-05-13T03:59:26Z
置信度 0.70
-
crossref
MR.AMRITPAL SINGH, Ms.AANCHAL MADAAN, MR.AMIT PURI
2026-05-13T12:36:38Z
置信度 0.70
-
crossref
Tu Duyen Nguyen, Adrien Lesage, Clotilde Cantini, Rachid Riad
2025-05-13T00:38:46Z
置信度 0.70
-
crossref
W.M.D Senuwan, Nimantha Dissanayake, Malithi Disanayaka, Shashini Hewage 等
2025-01-10T20:01:10Z
置信度 0.70
-
Cloud computing has grown in popularity in recent years because to its efficiency, flexibility, scalability, and the services it provides for data storage and processing. Still, big businesses and organizations have severe concerns about protecting privacy and…
crossref
Shatha A. Baker
2024-04-16T06:29:46Z
置信度 0.70
-
crossref
Osama S. Farag Allah
2009-07-14T22:05:12Z
置信度 0.70
-
crossref
Çetin Kaya Koç, Funda Özdemir, Zeynep Ödemiş Özger
2021-09-29T19:04:24Z
置信度 0.70
-
crossref
Shiho Moriai
2019-10-21T23:56:55Z
置信度 0.70
-
crossref
Haibo Tian, Yanchuan Wen, Fangguo Zhang, Yunfeng Shao 等
2023-06-15T15:15:59Z
置信度 0.70
-
crossref
Rekha Gaitond, Gangadhar S. Biradar
2025-11-05T04:37:53Z
置信度 0.70
-
<p>We propose an unbounded fully homomorphic encryption scheme, i.e. a scheme that allows one to compute on encrypted data for any desired functions without needing to decrypt the data or knowing the decryption keys. This is a rational solution to an old…
crossref
Zheng Zhiyong, Fengxia Liu, Tian Kun
2023-02-04T02:04:34Z
置信度 0.70
-
crossref
Hirotomo SHINOKI, Koji NUIDA
2023-06-26T22:12:46Z
置信度 0.70
-
crossref
Çetin Kaya Koç, Funda Özdemir, Zeynep Ödemiş Özger
2021-09-29T19:04:24Z
置信度 0.70
-
We propose an unbounded fully homomorphic encryption scheme, i.e. a scheme that allows one to compute on encrypted data for any desired functions without needing to decrypt the data or knowing the decryption keys. This is a rational solution to an old problem …
crossref
Zheng Zhiyong, Fengxia Liu, Tian Kun
2023-02-03T21:04:31Z
置信度 0.70
-
Fully Homomorphic Encryption is used to enhance the security incase of un-trusted systems or applications that deals with sensitive data. Homomorphic encryption enables computation on encrypted data without decryption. Homomorphic encryption prevents sharing o…
crossref
S.V.Suriya Prasad, K. Kumanan
2018-04-05T07:07:50Z
置信度 0.70
-
crossref
Anandhi T., Sivasangari A.
2025-12-30T07:29:45Z
置信度 0.70
-
crossref
2025-12-27T16:48:47Z
置信度 0.70
-
crossref
Çetin Kaya Koç, Funda Özdemir, Zeynep Ödemiş Özger
2021-09-29T19:04:24Z
置信度 0.70
-
crossref
Chunyuan Li
2024-05-15T04:05:48Z
置信度 0.70
-
crossref
2025-05-15T12:41:16Z
置信度 0.70
-
crossref
Stefania Loredana Nita, Marius Iulian Mihailescu
2023-09-26T09:02:55Z
置信度 0.70
-
crossref
R. KANAGAVALLI, DR.VAGDEVI S
2019-12-10T07:11:23Z
置信度 0.70
-
crossref
Tannishk Sharma
2016-05-17T15:09:48Z
置信度 0.70
-
crossref
Maya Louk, Hyotaek Lim
2015-03-13T16:58:20Z
置信度 0.70
-
crossref
David Du Pont, Jonas Bertels, Furkan Turan, Michiel Van Beirendonck 等
2024-07-04T13:29:09Z
置信度 0.70
-
crossref
Xinpeng Yang, Liang Cai, Yinghao Wang, Keting Yin 等
2024-06-28T11:51:38Z
置信度 0.70
-
This study examines the overview of homomorphic encryption technology for data privacy. In the era of big data, the growing need to utilize vast amounts of information while ensuring privacy and security has become a significant challenge. Homomorphic encrypti…
crossref
Qiang Chen, Huixian Li, Suriyani Ariffin, Nur Atiqah Sia Abdullah
2024-10-26T10:50:31Z
置信度 0.70
-
Abstract Fully homomorphic encryption (FHE) has experienced significant development and continuous breakthroughs in theory, enabling its widespread application in various fields, like outsourcing computation and secure multi-party computing, in order to preser…
crossref
Yanwei Gong, Xiaolin Chang, Jelena Mišić, Vojislav B. Mišić 等
2024-03-01T01:02:01Z
置信度 0.70
-
With the rapid growth of digital world, Homomorphic encryption leverage data confidentiality on encrypted profile. Homomorphic encryption enables secure computation outsourcing to unsecured environments like public clouds without revealing data, assists organi…
crossref
Suvam Mukherjee, Shiladitya Pujari
2025-11-03T04:41:37Z
置信度 0.70
-
crossref
Yiming Zhang, Hangjie Yi, Wanzeng Kong
2024-09-09T17:35:05Z
置信度 0.70
-
crossref
Yu Long, Shulin Guo, Xiaolu Pei, Shuai Yuan 等
2025-03-24T13:56:42Z
置信度 0.70
-
crossref
Caimei Wang, Zhipeng Sun, Jianhao Lu
2024-10-02T18:16:05Z
置信度 0.70
-
crossref
A. C.-F. Chan
2009-08-11T20:20:30Z
置信度 0.70
-
crossref
ANDREA HUSZTI
2012-02-10T20:24:52Z
置信度 0.70
-
crossref
2023-08-01T00:02:13Z
置信度 0.70
-
crossref
Sébastien Canard, Sergiu Carpov, Caroline Fontaine, Renaud Sirdey
2022-07-01T21:36:57Z
置信度 0.70
-
crossref
Yaqing Cheng
2024-12-24T19:10:44Z
置信度 0.70