Security and Efficiency Enhancement in Attribute Based Distributed Data Sharing

Mangesh Khanderao Gosavi; Tabassum Maktum

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25-Feb-26

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Security and Efficiency Enhancement in Attribute Based Distributed Data Sharing

Author(s):

Mangesh Khanderao Gosavi , TERNA ENGINEERING COLLEGE NERUL; Tabassum Maktum, TERNA ENGINEERING COLLEGE NERUL

Keywords:

Attribute Based Encryption, Fine Grained Access Control, CPABE, KPABE

Abstract:

Nowadays due to advancement in network and computing technology it is easily possible for people to share their ideas with others using online external storage. For example as we all know these days online social networking sites are an important part of every day’s life. People can easily share their data with others using online social network like Facebook, twitter etc. or if we take another example these day’s peoples are also uploading their highly sensitive Personal Health Record (PHR) on online data server such as Microsoft Health Vault, Google Health for ease of sharing with their primary doctors or for cost saving. As peoples enjoy benefits of these new technologies at the same time they are having concern about the data that they are uploading on such online external server like Facebook, twitter, and Google health etc. Improper use of the data by such online external server or unauthorized access by outside user could be potential threat here. People would like to make their sensitive or private data which they are uploading on such online external server only accessible to authorized people with credentials they specified. To manage fine grained data access control here we have implemented Enhanced Attribute Based Encryption (EABE) method which enables data owners to define their own access policies over user attributes and enforce the policies in the data to be distributed. This method also removes Key Escrow Problem by using escrow free key issuing protocol which is constructed using secure two-party computation between the key generation center and the data-storing center. The performance and security analysis indicate that this method is efficient to securely manage the data distributed in the data sharing system.