Secure confidential big data sharing in cloud computing using KP-ABE

Sara, Amghar; Tabaa, Yassine; Medouri, Abdellatif

doi:10.1145/3090354.3090388

Cited by 4 publications

(5 citation statements)

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“…A message is encrypted with a set of attributes in the KP-ABE scheme, and the user's private keys are linked to an access structure. If the access structure in the user's private key can satisfy the encrypted data's attributes, the message can be recovered successfully [2,4,[10][11][12]16,17,[30][31][32][33][34][35][36][37][38][39][40]. Generally, the KP-ABE scheme is constructed based on four basic algorithms: setup, key generation, encryption, and decryption, as summarized below.…”

Section: Kp-abe Schemesmentioning

confidence: 99%

“…While ABE promises a solution to address the scalability issues of recent public key infrastructure (PKI), how the quantum-resistant ABE schemes can be further extended and cope well to support the real-world implementation of big data analytics with its characteristics of high volume, high velocity and high velocity, have attracted numerous researches proposals [32,[69][70][71][72][73][74][75][76][77]. The ABE scheme is a suitable access control method that secures the private and sensitive big data stored in the cloud.…”

Section: Ongoing Challenges and Future Suggestionsmentioning

confidence: 99%

“…Before accessing data from cloud service providers, end-users must verify themselves, and this technique employs a third party to manage key exchange protocol independently from the cloud service providers. This is because, in the KP-ABE scheme, the ciphertext cannot choose who can decrypt it [32]. Encryption techniques are also used in [65], where the collusion resistance is the main goal and simultaneously allows users to share data among authorized users at the fine-grained level.…”

Section: Ongoing Challenges and Future Suggestionsmentioning

confidence: 99%

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Attribute-Based Encryption in Securing Big Data from Post-Quantum Perspective: A Survey

2022

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Attribute-based encryption (ABE) cryptography is widely known for its potential to solve the scalability issue of recent public key infrastructure (PKI). It provides a fine-grained access control system with high flexibility and efficiency by labeling the secret key and ciphertext with distinctive attributes. Due to its fine-grained features, the ABE scheme is a protection layer in securing users’ data and privacy in big data processing and analytics. However, quantum computing, new technology on the horizon that will transform the security and privacy environment, has begun to appear. Like the conventional ABE schemes, present cryptography is not excluded from the impacts of quantum technology as they are not made to be quantum-resistant. While most recent surveys generally touched on the generic features of attribute-based encryption schemes such as user revocation, scalability, flexibility, data confidentiality, and scope in pairing-based ABE schemes, this survey investigated quantum-resistant ABE schemes in securing big data. This survey reviews the challenges faced by the recent ABE cryptography in the post-quantum era and highlights its differences from the conventional pairing-based ABE schemes. Subsequently, we defined the criteria of an ideal quantum-resistant ABE scheme. Additionally, existing works on quantum-resistant ABE schemes are reviewed based on their algorithms design, security and functionalities. Lastly, we summarized quantum-resistant ABE schemes’ ongoing challenges and future works.

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Section: Kp-abe Schemesmentioning

confidence: 99%

Section: Ongoing Challenges and Future Suggestionsmentioning

confidence: 99%

Section: Ongoing Challenges and Future Suggestionsmentioning

confidence: 99%

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Attribute-Based Encryption in Securing Big Data from Post-Quantum Perspective: A Survey

2022

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“…una revisión de literatura relevante.-Se ha categorizado las arquitecturas de acuerdo a los objetivos encontrados en otros trabajos relevantes, y las categorías son: prevención de enfermedades [5], [33], [35], [36] y [37] es decir, el 25% se concentraron en obtener mejores prácticas de salud o alimentación; causas de reclamos [7] y [38] es decir, el 10% se concentraron en las principales causas o razones que hacen los clientes en sus reclamos; expresión de sentimientos [14] es decir, el 5% se concentró en conocer las opiniones positivas o negativas sobre los reclamos; fraudes en reclamos [11], [31], [32], [34], [39], [40], [41], [42] es decir, el 40% de las arquitecturas se concentraron en detectar fraudes o estafas en los reclamos a los seguros de salud; predicción de enfermedades [30] y [43] es decir, 10% se concentra en conocer qué enfermedades podrían acaecer sobre la población; seguridad de datos [44] y [45] es decir, 10% trabaja sobre seguridad de información sobre salud de los clientes, ver figura II.…”

Section: Categorizar Diferentes Arquitecturas Computacionales Para Se...unclassified

Arquitectura de consolidación de la información para seguros de la salud mediante Big Data

Zerega-Prado¹,

Llerena-Izquierdo²

2022

Memoria investig. ing. (Facultad Ing., Univ. Montev.)

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La identificación de los datos que están en varias fuentes de información y su consolidación para entregarla como útil se logra con Big Data. El objetivo general de este trabajo es desarrollar un diseño de arquitectura de consolidación de la información para seguros de la salud mediante Big Data. Para esta propuesta de investigación se utiliza el método empírico analítico, de tipo cuasi experimental con enfoque cuantitativo, mediante el análisis de referencias relevantes y especificación de los componentes de la arquitectura. Los resultados de esta investigación permiten categorizar diferentes arquitecturas computacionales para seguros de la salud mediante una revisión de literatura relevante, desarrollar un modelo de arquitectura de un sistema computacional para una empresa ecuatoriana de seguros de salud orientado a la consolidación de la información, y evaluar la metodología de estudio utilizada para establecer factores viables del modelo. El aporte de este trabajo permite determinar la aplicabilidad del modelo a empresas de seguros de salud nacionales o extranjeras mediante la contrastación de factores viables en una empresa específica del medio. Se concluye que las distintas fuentes de información o tipos de datos utilizados en el ámbito de los seguros de salud permiten conocer varias aristas del análisis de datos a través de una arquitectura en Big Data, además de obtener indicadores para mejorar la toma de decisiones; el 73% de los factores establecidos son viables en una empresa ecuatoriana de seguros de salud.

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“…Besides, some of the researches based on CP-ABE scheme have presented to accomplish access control for Big Data [38][39] [40]. Sara et al [41] proposed an innovative hybrid approach which improves the privacy and security of big data which is shared in a cloud with the use of a method of access control based on the Key-Policy Attribute-Based Encryption (KP-ABE) and authentication system, the ciphered data might be accessed only by legitimate users. Furthermore, for the solution of problems of security and privacy which limit big data improvement, blockchainbased access control for improving big data platforms security [42][43] [44] has been proposed.…”

Section: A Access Controlmentioning

confidence: 99%

Using Role-based to Implement Certificate Authority Management for Big Data

Shareef

Sagheer

2019

J. Al-Qadisiyah Comp. Sci. Math.

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One of the big issues for dynamic organizations is managing the confidential information of big data. Improving security is needed to secure exchange of confidential documents, protection against unauthorized accesses, handling changes in the permissions and roles of people and dealing with the dynamism that can happen if any person leaves or join the system. However, there are limitations in using traditional cryptographic systems and Public Key Infrastructure (PKI) concerning flexibility and manageability. In this paper, we propose a secure and verifiable access control system that implements a Certificate Authority coupled with Role-Based Access Control to provide the permissions to the user to access data. The digital certificate is certified, issued, and revoked by a central administrator; as a result, the certificate is sent based on the role of the user. The proposed scheme has been demonstrated on a big dataset. We believe that our work can be applied to organizations that rely heavily on big data.

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Secure confidential big data sharing in cloud computing using KP-ABE

Cited by 4 publications

References 5 publications

Attribute-Based Encryption in Securing Big Data from Post-Quantum Perspective: A Survey

Attribute-Based Encryption in Securing Big Data from Post-Quantum Perspective: A Survey

Arquitectura de consolidación de la información para seguros de la salud mediante Big Data

Using Role-based to Implement Certificate Authority Management for Big Data

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