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Journal articles on the topic 'Partially homomorphic systems'

Author: Grafiati

Published: 28 May 2022

Last updated: 30 July 2025

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1

Karimov, Abdukodir Abdisalomovich, and Iskandar Salimboyevich Olimov. "ANALYSIS OF HOMOMORPHIC ENCRYPTION METHODS IN CLOUD COMPUTING SYSTEMS." Innovative Development in Educational Activities 2, no. 11 (2023): 377–81. https://doi.org/10.5281/zenodo.8045525.

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This article discusses gamma encryption in detail. In addition, a comparative analysis of commonly used types of gamma encryption, i.e. partially homomorphic and fully homomorphic encryption, is presented. RSA, El-Gamal, Paillier, Goldwasser-Micali, Boneh-Goh-Nissim and Gentry Homomorphic encryption systems were analysed and the results presented.

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2

Prasad, S. V. Suriya, and K. Kumanan. "Homomorphic Encryption Using Enhanced BGV Encryption Scheme For Cloud Security." International Journal Of Engineering And Computer Science 7, no. 03 (2018): 23785–89. http://dx.doi.org/10.18535/ijecs/v7i3.22.

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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 of data within the cloud service where data is stored in a public cloud . In Partially Homomorphic Encryption it performs either additive or multiplicative operation, but not both operation can be carried out at a same time. Whereas , in case of Fully Homomorphic Encryption both operations can be carried out at same time. In this model , E

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Kölsch, Johannes, Christopher Heinz, Axel Ratzke, and Christoph Grimm. "Simulation-Based Performance Validation of Homomorphic Encryption Algorithms in the Internet of Things." Future Internet 11, no. 10 (2019): 218. http://dx.doi.org/10.3390/fi11100218.

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IoT systems consist of Hardware/Software systems (e.g., sensors) that are embedded in a physical world, networked and that interact with complex software platforms. The validation of such systems is a challenge and currently mostly done by prototypes. This paper presents the virtual environment for simulation, emulation and validation of an IoT platform and its semantic model in real life scenarios. It is based on a decentralized, bottom up approach that offers interoperability of IoT devices and the value-added services they want to use across different domains. The framework is demonstrated

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Sadeghikhorami, Ladan, and Ali Akbar Safavi. "Secure distributed Kalman filter using partially homomorphic encryption." Journal of the Franklin Institute 358, no. 5 (2021): 2801–25. http://dx.doi.org/10.1016/j.jfranklin.2020.08.048.

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5

Nidhyananthan, S. Selva, Prasad M., and Shantha Selva Kumari R. "Secure Speaker Recognition using BGN Cryptosystem with Prime Order Bilinear Group." International Journal of Information Security and Privacy 9, no. 4 (2015): 1–19. http://dx.doi.org/10.4018/ijisp.2015100101.

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Speech being a unique characteristic of an individual is widely used in speaker verification and speaker identification tasks in applications such as authentication and surveillance respectively. In this paper, framework for secure speaker recognition system using BGN Cryptosystem, where the system is able to perform the necessary operations without being able to observe the speech input provided by the user during speaker recognition process. Secure speaker recognition makes use of Secure Multiparty Computation (SMC) based on the homomorphic properties of cryptosystem. Among the cryptosytem w

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Medileh, Saci, Abdelkader Laouid, Mohammad Hammoudeh, et al. "A Multi-Key with Partially Homomorphic Encryption Scheme for Low-End Devices Ensuring Data Integrity." Information 14, no. 5 (2023): 263. http://dx.doi.org/10.3390/info14050263.

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In today’s hyperconnected world, the Internet of Things and Cloud Computing complement each other in several areas. Cloud Computing provides IoT systems with an efficient and flexible environment that supports application requirements such as real-time control/monitoring, scalability, fault tolerance, and numerous security services. Hardware and software limitations of IoT devices can be mitigated using the massive on-demand cloud resources. However, IoT cloud-based solutions pose some security and privacy concerns, specifically when an untrusted cloud is used. This calls for strong encryption

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Catak, Ferhat Ozgur, Ismail Aydin, Ogerta Elezaj, and Sule Yildirim-Yayilgan. "Practical Implementation of Privacy Preserving Clustering Methods Using a Partially Homomorphic Encryption Algorithm." Electronics 9, no. 2 (2020): 229. http://dx.doi.org/10.3390/electronics9020229.

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The protection and processing of sensitive data in big data systems are common problems as the increase in data size increases the need for high processing power. Protection of the sensitive data on a system that contains multiple connections with different privacy policies, also brings the need to use proper cryptographic key exchange methods for each party, as extra work. Homomorphic encryption methods can perform similar arithmetic operations on encrypted data in the same way as a plain format of the data. Thus, these methods provide data privacy, as data are processed in the encrypted doma

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8

Yu, Haining, Hongli Zhang, and Xiangzhan Yu. "Hail the Closest Driver on Roads: Privacy-Preserving Ride Matching in Online Ride Hailing Services." Security and Communication Networks 2020 (June 12, 2020): 1–13. http://dx.doi.org/10.1155/2020/4948387.

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Online ride hailing (ORH) services enable a rider to request a driver to take him wherever he wants through a smartphone app on short notice. To use ORH services, users have to submit their ride information to the ORH service provider to make ride matching, such as pick-up/drop-off location. However, the submission of ride information may lead to the leakages of users’ privacy. In this paper, we focus on the issue of protecting the location information of both riders and drivers during ride matching and propose a privacy-preserving online ride matching scheme, called pRMatch. It enables an ORH

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9

Alsumayt, Albandari, Nahla El-Haggar, Lobna Amouri, Zeyad M. Alfawaer, and Sumayh S. Aljameel. "Smart Flood Detection with AI and Blockchain Integration in Saudi Arabia Using Drones." Sensors 23, no. 11 (2023): 5148. http://dx.doi.org/10.3390/s23115148.

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Global warming and climate change are responsible for many disasters. Floods pose a serious risk and require immediate management and strategies for optimal response times. Technology can respond in place of humans in emergencies by providing information. As one of these emerging artificial intelligence (AI) technologies, drones are controlled in their amended systems by unmanned aerial vehicles (UAVs). In this study, we propose a secure method of flood detection in Saudi Arabia using a Flood Detection Secure System (FDSS) based on deep active learning (DeepAL) based classification model in fe

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10

Wu, Yuncheng, Naili Xing, Gang Chen, et al. "Falcon: A Privacy-Preserving and Interpretable Vertical Federated Learning System." Proceedings of the VLDB Endowment 16, no. 10 (2023): 2471–84. http://dx.doi.org/10.14778/3603581.3603588.

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Federated learning (FL) enables multiple data owners to collaboratively train machine learning (ML) models without disclosing their raw data. In the vertical federated learning (VFL) setting, the collaborating parties have data from the same set of users but with disjoint attributes. After constructing the VFL models, the parties deploy the models in production systems to infer prediction requests. In practice, the prediction output itself may not be convincing for party users to make the decisions, especially in high-stakes applications. Model interpretability is therefore essential to provid

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11

Montiel, Eugenia Elisabet, Daleen Badenhorst, LingSze Lee, and Nicole Valenzuela. "Evolution and dosage compensation of nucleolar organizing regions (NORs) mediated by mobile elements in turtles with female (ZZ/ZW) but not with male (XX/XY) heterogamety." Journal of Evolutionary Biology 35, no. 12 (2022): 1709–20. https://doi.org/10.1111/jeb.14064.

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Understanding the evolution and regulation of nucleolar organizing regions (NORs) is important to elucidate genome structure and function. This is because ribosomal gene (rDNA) copy number and activity mediate protein biosynthesis, stress response, ageing, disease, dosage compensation and genome stability. Here, we found contrasting dosage compensation of sex-linked NORs in turtles with male and female heterogamety. Most taxa examined exhibit homomorphic rRNA gene clusters in a single autosome pair (determined by 28S rDNA fluorescence in situ hybridization), whereas NORs are sex-linked in <em>

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12

Qian, Xiansong, Lifei Wei, Jinjiao Zhang, and Lei Zhang. "Malicious-Secure Threshold Multi-Party Private Set Intersection for Anonymous Electronic Voting." Cryptography 9, no. 2 (2025): 23. https://doi.org/10.3390/cryptography9020023.

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Threshold Multi-Party Private Set Intersection (TMP-PSI) is a cryptographic protocol that enables an element from the receiver’s set to be included in the intersection result if it appears in the sets of at least t−1 other participants, where t represents the threshold. This protocol is crucial for a variety of applications, such as anonymous electronic voting, online ride-sharing, and close-contact tracing programs. However, most existing TMP-PSI schemes are designed based on threshold homomorphic encryption, which faces significant challenges, including low computational efficiency and a hig

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13

Fechner, Włodzimierz, and Andrzej Olbryś. "Systems of Inequalities Characterizing Ring Homomorphisms." Journal of Function Spaces 2016 (2016): 1–5. http://dx.doi.org/10.1155/2016/8069104.

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Assume thatT:P→RandU:P→Rare arbitrary mappings between two partially ordered ringsPandR. We study a few systems of functional inequalities which characterize ring homomorphisms. For example, we prove that ifTandUsatisfyT(f+g)≥T(f)+T(g), U(f·g)≥U(f)·U(g),for allf,g∈PandT≥U, thenU=Tand this mapping is a ring homomorphism. Moreover, we find two other systems for which we obtain analogous assertions.

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14

Alam, Syed Eqbal, Shrisha Rao, and Bijan Davvaz. "(m,n)-Semirings and a Generalized Fault-Tolerance Algebra of Systems." Journal of Applied Mathematics 2013 (2013): 1–10. http://dx.doi.org/10.1155/2013/482391.

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We propose a new class of mathematical structures called(m,n)-semirings(which generalize the usual semirings) and describe their basic properties. We define partial ordering and generalize the concepts of congruence, homomorphism, and so forth, for(m,n)-semirings. Following earlier work by Rao (2008), we consider systems made up of several components whose failures may cause them to fail and represent the set of such systems algebraically as an(m,n)-semiring. Based on the characteristics of these components, we present a formalism to compare the fault-tolerance behavior of two systems using ou

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15

Hristov-Kalamov, Nikola, Raúl Fernández-Ruiz, Cristina Conde, et al. "Partially homomorphic framework for secure privacy-preserving ID creation." Integrated Computer-Aided Engineering, May 21, 2025. https://doi.org/10.1177/10692509251342680.

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Homomorphic encryption has seen limited application in real-world settings due to its high computational costs, which often impede practical use in latency-sensitive scenarios. Addressing this challenge, this research work presents an efficient, partially homomorphic encryption framework for privacy-preserving ID creation tailored to biometric applications, such as border control or access to secure restricted facilities. The proposed solution leverages the additive homomorphic properties of Paillier and Elliptic Curve ElGamal encryption schemes to encapsulate biometric data within a secure cr

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16

Alexandru, Andreea B., Konstantinos Gatsis, Yasser Shoukry, Sanjit A. Seshia, Paulo Tabuada, and George J. Pappas. "Cloud-based Quadratic Optimization with Partially Homomorphic Encryption." IEEE Transactions on Automatic Control, 2020, 1. http://dx.doi.org/10.1109/tac.2020.3005920.

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17

Amr, Alanwar, Gassmann Victor, He Xingkang, et al. "Privacy-Preserving Set-Based Estimation Using Partially Homomorphic Encryption." Elsevier, European Journal of Control 68 (February 24, 2023). https://doi.org/10.1016/j.ejcon.2023.100786.

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The set-based estimation has gained a lot of attention due to its ability to guarantee state enclosures for safety-critical systems. However, collecting measurements from distributed sensors often requires outsourcing the set-based operations to an aggregator node, raising many privacy concerns. To address this problem, we present set-based estimation protocols using partially homomorphic encryption that preserve the privacy of the measurements and sets bounding the estimates. We consider a linear discrete-time dynamical system with bounded modeling and measurement uncertainties. Sets are repr

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18

Yan, Xinhao, Guanzhong Zhou, Yue Huang, Wei Meng, Anh-Tu Nguyen, and Hailong Huang. "Secure Estimation Using Partially Homomorphic Encryption for Unmanned Aerial Systems in the Presence of Eavesdroppers." IEEE Transactions on Intelligent Vehicles, 2024, 1–10. http://dx.doi.org/10.1109/tiv.2024.3378288.

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19

Boomija, M. D., and S. V. Kasmir Raja. "Threshold multiparty multi‐randomness secure partially homomorphic encryption for data security in cloud." Expert Systems, September 29, 2022. http://dx.doi.org/10.1111/exsy.13043.

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20

Neela, K. L. "DSDOS Cloud: A Decentralized Secure Data Outsourcing System With Hybrid Encryption, Blockchain Smart Contract‐Based Access Control, and Hash Authentication Codes for Cloud Security." Transactions on Emerging Telecommunications Technologies 35, no. 11 (2024). http://dx.doi.org/10.1002/ett.70016.

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ABSTRACTWith the increasing trend of outsourcing data to cloud services, ensuring data security and privacy has become crucial. Typically, data are stored on cloud servers in encrypted form to mitigate risks. However, accessing the encrypted data requires an access key distributed by a third party. If this third party is untrustworthy, it poses a significant security threat to the system. To address this challenge, we propose a Decentralized Secure Data Outsourcing System (DSDOS) that uses blockchain technology to ensure data security and privacy. The DSDOS system comprises three modules: data

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21

Wu, Xing, Yushun Fan, Jia Zhang, and Zhenfeng Gao. "Federated Latent Dirichlet Allocation for User Preference Mining." Journal of Web Engineering, October 25, 2023. http://dx.doi.org/10.13052/jwe1540-9589.2244.

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In the field of Web services computing, a recent demand trend is to mine user preferences based on user requirements when creating Web service compositions, in order to meet comprehensive and ever evolving user needs. Machine learning methods such as the latent Dirichlet allocation (LDA) have been applied for user preference mining. However, training a high-quality LDA model typically requires large amounts of data. With the prevalence of government regulations and laws and the enhancement of people’s awareness of privacy protection, the traditional way of collecting user data on a central ser

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