Hybrid Homomorphic Encryption Method for Protecting the Privacy of Banking Data in the Cloud

Tebaa, Maha; Zkik, Karim; Hajji, Saïd El

doi:10.14257/ijsia.2015.9.6.07

Cited by 13 publications

(6 citation statements)

References 5 publications

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“…Due to the fact that CC is broad so storing data may subject to disclosure or change by some parties for curious or malicious purposes. Using the cloud leads to a loss of control over the banking data (account numbers, total deposits, loans ...) [4]. Therefore, different attempts and methods appeared.…”

Section: Related Workmentioning

confidence: 99%

“…Utilizing CC for the banking system may help save time and costs, but also concerns about security challenges may expose customer data to disclosure. It has become possible to communicate and share data between the bank and the customer remotely without the need for high costs, but CC remains untrusted because some parties can connect to the network and expose the data so we face security and privacy challenges to maintain the confidentiality of banking data that may be critical and sensitive [4,5].…”

Section: Introductionmentioning

confidence: 99%

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Enhancing cloud computing security by paillier homomorphic encryption

Altaee

Alanezi

2021

IJECE

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In recent years, the trend has increased for the use of cloud computing, which provides broad capabilities with the sharing of resources, and thus it is possible to store and process data in the cloud remotely, but this (cloud) is untrusted because some parties can connect to the network such as the internet and read or change data because it is not protected, therefore, protecting data security and privacy is one of the challenges that must be addressed when using cloud computing. Encryption is interested in the field of security, confidentiality and integrity of information that sent by a secure connection between individuals or institutions regardless of the method used to prepare this connection. But using the traditional encryption methods to encrypt the data before sending it will force the data provider to send his private key to the server to decrypt the data to perform computations on it. In this paper we present a proposal to secure banking data transmission through the cloud by using partially homomorphic encryption algorithms such as (paillier, RSA algorithm) that allow performing mathematical operations on encrypted data without needing to decryption. A proxy server will also use for performing re-encryption process to enhance security.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Enhancing cloud computing security by paillier homomorphic encryption

Altaee

Alanezi

2021

IJECE

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“…Hence resulting in delayed access decision and ABAC is not yet consistent [13]. Tebaa et al, [14] suggested a way out for providing security and privacy using hybrid homomorphic encryption. Sensitive data are encrypted and operations are made on them without decrypting.…”

Section: Related Workmentioning

confidence: 99%

Providing Ontology-Based Access Control for Cloud Data by Exploiting Subsumption Property among Domains of Access Control

Michael¹,

Kothandaraman²,

Kaliyan³

2019

IJIES

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Cloud computing has pulled in numerous business organizations and users because of its simplified administration effort, minimal maintenance cost and pervasive access to out-sourced resources, which can be hardware or software. Users share these resources in large-scale environments over the Internet. Stringent access control must be implemented in a cloud storage system for protecting sensitive information. Access control models in the current literature such as Discretionary Access control (DAC), Mandatory Access Control model (MAC), Role-Based Access Model (RBAC) or Attribute Access Control Model (ABAC) consider the entities of access control in isolation and thus leading to incorrect access control decisions. In this paper, Ontology-Based Access Control is proposed. This proposal uses an ontology to model the entities associated with access control and their interrelationships among them, which could be effortlessly adjusted to Cloud environments. Ontology promises to streamline knowledge sharing among the entities. Subsumption property is exploited over concepts, properties and individuals. The experimental results show that the number of rules to be stored in Policy Base is reduced and reasoning time is also considerably reduced because of applying subsumption property and hence access decision is made faster. Also, our work is compared with the existing works against the state of art models with the help of access control metrics provided by the National Institute of Standards and Technology (NIST). Our work answers the queries related to metric effectively than the existing works. Hence the performance of the system is increased and suitable for securing cloud data.

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“…Several researches trying to find solutions and alternatives that will remedy to these problems while providing models that ensures users privacy in clouds (Wüller et al, 2017;Chen et al, 2014). Tebaa et al (2015) propose a hybrid homomorphic system that is applied to the banking data to perform operations on encrypted data without decrypting it. The idea of this work is to apply homomorphic encryption to very sensitive and very small data in order to increase efficiency and performance and to reduce computing time.…”

Section: Related Work and Research Scopementioning

confidence: 99%

A New Authentication and Homomorphic Encryption as a Service Model for Preserving Privacy in Clouds

Zkik¹,

Tebaa²,

Tachihante³

et al. 2017

Journal of Computer Science

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The security as a Service (SECaaS) is a new model which provides security solution to users through Cloud Computing. The maturity of Cloud Computing services makes possible the use of the SECaaS model. This new model offers huge benefits to users, such as Authentication as a Service (AaaS) and Encryption as a Service (ENCaaS). So, it can offer more security features, since it uses the resources of Clouds and it's connected to the different security policy databases. While SECaaS offers to cloud users and companies a multitude of security services, it still remains very limited and several aspects of security are not covered by this model, especially the part concerning the privacy. In addition, SECaaS is a new model that is not yet correctly deployed and it is not sufficiently solicited by companies. On the other side, Homomorphic encryption is considered as a good solution to ensure the privacy for users using the cloud services because it permits to make calculation on cipher text and data without decrypting them, but this solution suffer from many limitations such as the key size, the high latency and some serious performance problems. The main idea of this paper it's to propose a new security model to preserving user's privacy using homomorphic encryption while bypassing its limitations. So, This paper proposes a framework for Authentication and Homomorphic Encryption (A-HEaaS) based on security as a Service model which permits a secure access to the Cloud servers and the use of homomorphic encryption for calculations on encrypted data. The paper describes the design of our model and gives an implementation of our framework on medical Data.

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Hybrid Homomorphic Encryption Method for Protecting the Privacy of Banking Data in the Cloud

Cited by 13 publications

References 5 publications

Enhancing cloud computing security by paillier homomorphic encryption

Enhancing cloud computing security by paillier homomorphic encryption

Providing Ontology-Based Access Control for Cloud Data by Exploiting Subsumption Property among Domains of Access Control

A New Authentication and Homomorphic Encryption as a Service Model for Preserving Privacy in Clouds

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