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Access control in decentralized online social networks applying a policy hiding cryptographi

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Page 1: Access control in decentralized online social networks applying a policy hiding cryptographi

Access Control in DecentralizedOnline Social Networks: Applying a Policy-Hiding CryptographicScheme and Evaluating Its Performance

Oleksandr Bodriagov, Gunnar Kreitz, and Sonja Buchegger

KTH Royal Institute of Technology, School of Computer Science and Communication

Stockholm, Sweden

Page 2: Access control in decentralized online social networks applying a policy hiding cryptographi

Abstract

Privacy concerns in online social networking services have prompted a number of proposals for decentralized online social networks (DOSN) that remove the central provider and aim at giving the users control over their data and who can access it. This is usually done by cryptographic means. Existing DOSNs use cryptographic primitives that hide the data but reveal the access policies. At the same time, there are privacy-preserving variants of these cryptographic primitives that do not reveal access policies. They are, however, not suitable for usage in the DOSN context because of performance or storage constraints.

A DOSN needs to achieve both privacy and performance to be useful. We analyze predicate encryption (PE) and adapt it to the DOSN context. We propose a univariate polynomial construction for access policies in PE that drastically increases performance of the scheme but leaks some part of the access policy to users with access rights. We utilize Bloom filters as a means of decreasing decryption time and indicate objects that can be decrypted by a particular user.

We evaluate the performance of the adapted scheme in the concrete scenario of a news feed. Our PE scheme is best suited for encrypting for groups or small sets of separate identities.

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Existing System

Existing DOSNs use cryptographic primitives that hide the data but reveal the access policies. At the same time, there are privacy-preserving variants of these cryptographic primitives that do not reveal access policies. They are, however, not suitable for usage in the DOSN context because of performance or storage constraints.

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Disadvantages of Existing System

A drawback of the existing system is that the standard implementations reveal the access policy specified together with each ciphertext (as the access policy is needed for decryption).

Efficiency is lost because of the quadratic growth of the ciphertext size in the number of attributes.

Standard implementations reveal the access policy specified together with each ciphertext (as the access policy is needed for decryption).

Computational efficiency and storage efficiency are crucial for DOSNs which are characterized by a large number of users and objects, and by the absence of a centralized storage.

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Proposed System

Proposed system is a Predicate Encryption (PE) is a cryptographic primitive that provides access control of encrypted data using attribute based policies. When creating a ciphertext, the encrypt or specifies an access policy and only those users whose keys satisfy the policy can decrypt. The decryption keys are generated by the encrypt or using a master secret.

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Advantages of Proposed System

Provides access control of encrypted data using attribute based policies.

The proposed system employs a univariate polynomial construction for access policies that has a short vector and thus drastically increases performance of the scheme.

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Architecture

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Modules

System Initialization

User Registration

KDC setup

Attribute generation

Sign

Verify

Bloom filters

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Modules Description

System InitializationSelect a prime q, and groups G1 and G2, which are of order q. We define the mapping ˆe : G1 ×G1 → G2. Let g1, g2 be generators of G1 and hj be generators of G2, for j ∈ [tmax], for arbitrary tmax. Let H be a hash function. Let A0 = ha0 0 , where a0 ∈ Z∗ q is chosen at random. (TSig,TV er) mean TSig is the private key with which a message is signed and TV er is the public key used for verification. The secret key for the trustee is TSK = (a0, TSig) and public key is TPK = (G1,G2,H, g1,A0, h0, h1, . . . , htmax, g2, TV er).

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User Registration

For a user with identity Uu the KDC draws at random Kbase ∈ G.Let K0 = K1/a0 base . The following token γ is output γ = (u,Kbase,K0, ρ), where ρ is signature on u||Kbase using the signing key TSig.

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KDC setup

We emphasize that clouds should take a decentralized approach while distributing secret keys and attributes to users. It is also quite natural for clouds to have many KDCs in different locations in the world. The architecture is decentralized, meaning that there can be several KDCs for key management.

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Attribute generation

The token verification algorithm verifies the signature contained in γ using the signature verification key TV er in TPK. This algorithm extracts Kbase from γ using (a, b) from ASK[i] and computes Kx = K1/(a+bx) base , x ∈ J[i, u]. The key Kx can be checked for consistency using algorithm ABS.KeyCheck(TPK,APK[i], γ,Kx), which checks ˆe(Kx,AijBx ij) = ˆe(Kbase, hj), for all x ∈ J[i, u] and j ∈ [tmax].

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Sign

The access policy decides who can access the data stored in the cloud. The creator decides on a claim policy Y, to prove her authenticity and signs the message under this claim. The ciphertext C with signature is c, and is sent to the cloud. The cloud verifies the signature and stores the ciphertext C. When a reader wants to read, the cloud sends C. If the user has attributes matching with access policy, it can decrypt and get back original message.

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Verify

The verification process to the cloud, it relieves the individual users from time consuming verifications. When a reader wants to read some data stored in the cloud, it tries to decrypt it using the secret keys it receives from the KDCs.

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Bloom filters

A profile in the DOSN contains multiple objects encrypted for different users. It is impossible for a user to determine if an object is encrypted for him without trying to decrypt it since the ciphertexts do not reveal access policies. The user could use a trial-and-error approach (sequentially trying to decrypt objects) for rendering the profile, but this becomes prohibitively expensive with the large number of objects. Therefore, we utilize Bloom filters to speed up rendering and to show users in a privacy-preserving manner whether they can decrypt objects.

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Conclusion

We have proposed to apply a privacy preserving scheme to the DOSN context: inner-product predicate encryption (PE). It is too expensive to use out of the box. Therefore for PE we proposed a construction for access policies that drastically increases performance, but introduces some trade-offs: it allows encrypting for a bounded set of groups/users; this bound is a trade-off between efficiency and functionality of the scheme; the number of groups in the system is unlimited; a user has 2g different decryption keys, where g is the number of groups a user is a member of; having multiple keys leaks some information about access policies. PE is most suitable for encrypting for groups or small sets of separate identities. We designed an experiment that showed that for newsfeed assembly from all friends our scheme shows good performance and thus user experience. For schemes that do not reveal access policies and have relatively slow decryption, we proposed to use Bloom filters to indicate to users which files they can decrypt. Bloom filters are both performant and space-efficient, and thus are suitable for DOSNs.

In this paper, we focused the evaluation on performance to see if PE is even feasible under the constraints of decentralized online social networks, starting from the security and privacy properties of the original scheme. The next steps are to focus on security and privacy, as well as semantics of access policies of our modifications.

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Minimum Hardware Configuration of the proposed system

Processor : Intel/AMD

Speed : 1.1 GHz

RAM : 256 MB

Hard Disk : 20 GB

Keyboard : Standard Keyboard

Mouse : Standard Mouse

Monitor : SVGA/LCD

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Software Configuration of the proposed system

Operating System : Windows

Java Version : JDK 1.7/1.8

Application Server : Tomcat 6/7

Front End : HTML, Java, JSP, CSS

Scripts : JavaScript

Database : MySQL 5.5

Database Connectivity : JDBC

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References

G. Greenwald and E. MacAskill, “NSA prism program taps in to user data of apple, google and others,” 2013. [Online]. Available: http://www.guardian.co.uk/world/2013/jun/06/us-tech-giants-nsa-data

J. Bethencourt, A. Sahai, and B. Waters, “Ciphertext-policy attributebased encryption,” in Proceedings of the 2007 IEEE Symposium on Security and Privacy, ser. SP ’07. IEEE Computer Society, 2007, pp.321–334. [Online]. Available: http://dx.doi.org/10.1109/SP.2007.11

C. Delerablee, P. Paillier, and D. Pointcheval, “Fully collusion secure dynamic broadcast encryption with constant-size ciphertexts or decryption keys,” in Pairing-Based Cryptography Pairing 2007, ser. Lecture Notes in Computer Science. Springer Berlin / Heidelberg, 2007, vol. 4575, pp. 39–59.

T. Nishide, K. Yoneyama, and K. Ohta, “Attribute-based encryption with partially hidden encryptor-specified access structures,” in ACNS, ser. LNCS, vol. 5037. Springer-Verlag, 2008, pp. 111–129.

B. Libert, K. G. Paterson, and E. A. Quaglia, “Anonymous broadcast encryption: adaptive security and efficient constructions in the standard model,” in PKC, ser. LNCS, vol. 7293. Springer-Verlag, 2012.