Attribute-Based Encryption With Verifiable Outsourced Decryption.

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BY S.S.SUDHEER VARMA (13NT1D5816)
Department Of Computer Science Engineering
Presentation transcript:

Attribute-Based Encryption With Verifiable Outsourced Decryption

Abstract Attribute-based encryption (ABE) is a public-key- based one-to-many encryption that allows users to encrypt and decrypt data based on user attributes. A promising application of ABE is flexible access control of encrypted data stored in the cloud, using access polices and ascribed attributes associated with private keys and ciphertexts. One of the main efficiency drawbacks of the existing ABE schemes is that decryption involves expensive pairing operations and the number of such operations grows with the complexity of the access policy. Recently, Green et al. proposed an ABE system with outsourced decryption that largely elimi¬nates the decryption overhead for users. In such a system, a user provides an untrusted server, say a cloud service provider, with a transformation key that allows the cloud to translate any ABE ciphertext satisfied by that user’s attributes or access policy into a simple ciphertext, and it only incurs a small computational over¬head for the user to recover the plaintext from the transformed ciphertext. Security of an ABE system with outsourced decryption ensures that an adversary (including a malicious cloud) will not be able to learn anything about the encrypted message; however, it does not guarantee the correctness of the transformation done by the cloud. In this paper, we consider a new requirement of ABE with outsourced decryption: verifiability. Informally, verifiability guarantees that a user can efficiently check if the transformation is done correctly. We give the formal model of ABE with verifiable outsourced decryption and propose a concrete scheme. We prove that our new scheme is both secure and verifiable, without relying on random oracles. Finally, we show an implementation of our scheme and result of performance measurements, which indicates asignificant reduction on computing resources imposed on users.

Existing System Idistributed settings with untrusted servers, such as the cloud, many applications need mechanisms for complex access-control over encrypted data. Sahai and Waters [1] ad¬dressed this issue by introducing the notion of attribute-based encryption (ABE). ABE is a new public key based one-to-many encryption that enables access control over encrypted data using access policies and ascribed attributes associated with private keys and ciphertexts. There are two kinds of ABE schemes: key-policy ABE (KP-ABE) [2]-[7] and ciphertext-policy ABE (CP-ABE) [8], [9], [5], [6]. In a CP-ABE scheme, every cipher¬text is associated with an access policy on attributes, and every user’s private key is associated with a set of attributes. A user is able to decrypt a ciphertext only if the set of attributes as¬sociated with the user’s private key satisfies the access policy associated with the ciphertext. In a KP-ABE scheme, the roles of an attribute set and an access policy are swapped from what we described for CP-ABE: attributes sets are used to annotate the ciphertexts and access polices over these attributes are asso¬ciated with users’ private keys. In the following, we will use the terms access policy, access structure and access formula interchangeably.

Architecture Diagram

System Specification HARDWARE REQUIREMENTS Processor : Intel Pentium IV Ram : 512 MB Hard Disk : 80 GB HDD SOFTWARE REQUIREMENTS Operating System : Windows XP / Windows 7 FrontEnd : Java BackEnd : MySQL 5

C ONCLUSION In this paper, we considered a new requirement of ABE with outsourced decryption: verifiability. We modified the original model of ABE with outsourced decryption proposed by Green et al. [12] to include verifiability. We also proposed a concrete ABE scheme with verifiable outsourced decryption and proved that it is secure and verifiable. Our scheme does not rely on random oracles. To assess the practicability of our scheme, we implemented it and conducted experiments in a simulated out-sourcing environment. As expected, the scheme substantially reduced the computation time required for resource-limited de¬vices to recover plaintexts.

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