Secure Data Communication using File Hierarchy Attribute Based Encryption in Wireless Body Area Networks

The major challenge in wireless body area networks (WBAN) is setting up a protected communication between data consumers and a body area network controller while meeting the security and privacy requirements. This paper proposes efficient and secure data communication in WBANs using a Twofish symmetric algorithm and ciphertext‐policy attribute‐based encryption with constant size ciphertext; in addition, the proposed scheme incorporates policy updating to update access policies. To the best of the author's knowledge, policy updating in WBAN has not been studied in earlier works. The proposed scheme is evaluated in terms of message size, energy consumption, and computation cost, and the results are compared with those of existing schemes. The result shows that the proposed method can achieve higher efficiency than conventional methods.

One of the most preferred encryption techniques for data sharing in cloud environment is Ciphertext-Policy Attribute Based Encryption (CP-ABE). An efficient File Hierarchy CP-ABE (FH-CP-ABE) scheme using an integrated access structure was proposed by Wang and colleagues. Their working construction was based on symmetric pairing. In this article, we propose an efficient Asymmetric File Hierarchy Ciphertext-Policy Attribute Based Encryption (AFH-CP-ABE) which is based on an asymmetric pairing construction using denominator elimination and twist mapping. We apply this optimized Tate pairing in the proposed AFH-CP-ABE to find out its computational costs for encryption and decryption using gmp 6.0.0 library and then compared with existing schemes.

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Attribute-based encryption (ABE) is used for achieving data confidentiality and access control in cloud environments. Most often ABE schemes are constructed using bilinear pairing which has a higher computational complexity, making algorithms inefficient to some extent. The motivation of this paper is on achieving user privacy during the interaction with attribute authorities by improving the efficiency of ABE schemes in terms of computational complexity. As a result the aim of this paper is two-fold; firstly, to propose an efficient Tate pairing algorithm based on multi-base number representation system using point halving (TP-MBNR-PH) with bases 1/2, 3, and 5 to reduce the cost of bilinear pairing operations and, secondly, the TP-MBNR-PH algorithm is applied in decentralized KP-ABE to compare its computational costs for encryption and decryption with existing schemes.

In cloud computing computational paradigm, the main objective is to incorporate efficient access control and confidentiality services on accessing Big Data in storage perspective. Several Attribute Based Encryption (ABE) schemes have emerged in this perspective and served the purpose. Most of the attribute based encryption schemes use bilinear pairing approach for computation. High computational complexity in bilinear pairing implementation is making the algorithm insufficient. In order to cope up with these complexity issues, point halving technique with Multi-Base Number Representation (MBNR) is recommended for efficient computation of field operations. And at the same time an enhancement of Tate pairing using MBNR is recommended for significant improvement of pairing computation.