Secure sensitive data sharing on a big data platform
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This document proposes a framework for secure sensitive data sharing on big data platforms, addressing challenges in secure data delivery, storage, usage, and destruction. It introduces a proxy re-encryption algorithm and a user process protection method to ensure effective security while allowing data owners to maintain control. The framework aims to enhance the efficiency of encryption and reduce interaction overhead among involved parties in future enhancements.
![[1] S. Yu, C. Wang, K. Ren, and W. Lou, Attribute based data sharing with attribute revocation, in Proc. 5th ACM
Symposium on Information, Computer and Communications Security, Beijing, China, 2010, pp. 261– 270.
[2] J. Bethencourt, A. Sahai, and B. Waters, Ciphertext-policy attribute-based encryption, in Proc. IEEE Symposium on
Security and Privacy, Oakland, USA, 2007, pp. 321–334.
[3] J. Li, G. Zhao, X. Chen, D. Xie, C. Rong, W. Li, L. Tang, and Y. Tang, Fine-grained data access control systems with
user accountability in cloud computing, in Proc. 2nd Int. Conf. on Cloud Computing, Indianapolis, USA, 2010, pp. 89–
96.
[4] L. Wang, L. Wang, M. Mambo, and E. Okamoto, New identity-based proxy re-encryption schemes to prevent
collusion attacks, in Proc. 4th Int. Conf. Pairing-Based Cryptograghy-Pairing, Ishikawa, Japan, 2010, pp. 327– 346.
[5] C. Gentry, A fully homorphic encryption scheme, Ph.D dissertation, Stanford University, California, USA, 2009.](https://image.slidesharecdn.com/securesensitivedatasharingonabigdataplatform-151128095440-lva1-app6891/85/Secure-sensitive-data-sharing-on-a-big-data-platform-9-320.jpg)
Secure sensitive data sharing on a big data platform
- 1. SECURE SENSITIVE DATA SHARING ON A BIG DATA PLATFORM
- 2. Users store vast amounts of sensitive data on a big data platform. Sharing sensitive data will help enterprises reduce the cost of providing users with personalized services and provide value-added data services. However, secure data sharing is problematic. This paper proposes a framework for secure sensitive data sharing on a big data platform, including secure data delivery, storage, usage, and destruction on a semi-trusted big data sharing platform. We present a proxy re-encryption algorithm based on heterogeneous cipher text transformation and a user process protection method based on a virtual machine monitor, which provides support for the realization of system functions. The framework protects the security of users’ sensitive data effectively and shares these data safely. At the same time, data owners retain complete control of their own data in a sound environment for modern Internet Information security
- 3. Users store vast amounts of sensitive data on a big data platform. Sharing sensitive data will help enterprises reduce the cost of providing users with personalized services and provide value- added data services. However, secure data sharing is problematic.
- 4. This paper proposes a framework for secure sensitive data sharing on a big data platform, including secure data delivery, storage, usage, and destruction on a semi-trusted big data sharing platform. We present a proxy re-encryption algorithm based on heterogeneous cipher text transformation and a user process protection method based on a virtual machine monitor, which provides support for the realization of system functions. The framework protects the security of users’ sensitive data effectively and shares these data safely.
- 5. Data encryption and access control of cloud storage Regarding encryption technology, the Attribute-Based Encryption (ABE) algorithm includes Key-Policy ABE (KP-ABE) and Cipher text-Policy ABE (CPABE). ABE decryption rules are contained in the encryption algorithm, avoiding the costs of frequent key distribution in cipher text access control. However, when the access control strategy changes dynamically, a data owner is required to re-encrypt the data. A method based on PRE is proposed. A semi-trusted agent with a proxy key can re-encrypt cipher text; however, the agent cannot obtain the corresponding plaintext or compute the decryption key of either party in the authorization process.
- 6. Trusted computing and process protection Trusted Computing Group (TCG) introduced the Trusted Platform Module (TPM) in its existing architecture, to ensure that a general trusted computing platform using TPM security features is credible. In academia, the main research idea includes first building a trusted terminal platform based on a security chip, and then establishing trust between Platforms through remote attestation. Then, trust is extended to the network. Integrity measurement is the primary technical means of building a trusted terminal platform.
- 7. Data destruction Proposed a security destruction scheme for electronic data. A new scheme, Self Vanish, is proposed. This scheme prevents hopping attacks by extending the lengths of key shares and significantly increasing the cost of mounting an attack. To solve the problem of how to prevent sensitive information from leaking, when an emergency occurs, proposed a real-time sensitive safe data destruction system. The open source cloud computing storage system, Hadoop Distributed File System (HDFS), cannot destroy data completely, which may lead to data leak.
- 8. In summary, we proposed a systematic framework of secure sharing of sensitive data on big data platform, which ensures secure submission and storage of sensitive data based on the heterogeneous proxy re-encryption algorithm, and guarantees secure use of clear text in the cloud platform by the private space of user process based on the VMM. The proposed framework well protects the security of users’ sensitive data. At the same time the data owners have the complete control of their own data, which is a feasible solution to balance the benefits of involved parties under the semi-trusted conditions. In the future, we will optimize the heterogeneous proxy re-encryption algorithm, and further improve the efficiency of encryption. In addition, reducing the overhead of the interaction among involved parties is also an important future work.
- 9. [1] S. Yu, C. Wang, K. Ren, and W. Lou, Attribute based data sharing with attribute revocation, in Proc. 5th ACM Symposium on Information, Computer and Communications Security, Beijing, China, 2010, pp. 261– 270. [2] J. Bethencourt, A. Sahai, and B. Waters, Ciphertext-policy attribute-based encryption, in Proc. IEEE Symposium on Security and Privacy, Oakland, USA, 2007, pp. 321–334. [3] J. Li, G. Zhao, X. Chen, D. Xie, C. Rong, W. Li, L. Tang, and Y. Tang, Fine-grained data access control systems with user accountability in cloud computing, in Proc. 2nd Int. Conf. on Cloud Computing, Indianapolis, USA, 2010, pp. 89– 96. [4] L. Wang, L. Wang, M. Mambo, and E. Okamoto, New identity-based proxy re-encryption schemes to prevent collusion attacks, in Proc. 4th Int. Conf. Pairing-Based Cryptograghy-Pairing, Ishikawa, Japan, 2010, pp. 327– 346. [5] C. Gentry, A fully homorphic encryption scheme, Ph.D dissertation, Stanford University, California, USA, 2009.
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