Enhanced Privacy Protection in Blockchain Using SGX and Sidechains - Computational Intelligence in Data Science Access content directly
Conference Papers Year : 2021

Enhanced Privacy Protection in Blockchain Using SGX and Sidechains

S. Ganesh Kumar
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Abstract

Blockchain is a peer to peer network that is decentralized in nature. It has immutable and persistent property which make this technology more secured. Blockchain is not only suited for crypto currencies but also used for many applications like identity protection, smart contracts, health care, online polling system and much more. In addition, blockchain network holds a distributed ledger which makes all data available to every node in the network. Due to this, security and privacy protection becomes a major concern in blockchain technology. Some of existing solutions to blockchain privacy issues are homomorphice encryption, zero knowledge proofs, ring signature and multiparty computations. Though existing privacy preservation mechanisms secures the blockchain network from privacy leakage. It has limitations when implemented in large scale applications. In this paper, a three layered protection scheme is proposed to enhance the privacy of blockchain technology. This idea of three layered protection integrates randomized address generation, content erasure mechanism and IntelSGX together and forms a secure architecture. It will enhance the security and privacy of blockchain network to a greater extent.
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hal-03772926 , version 1 (08-09-2022)

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M. Mohideen Abdulkader, S. Ganesh Kumar. Enhanced Privacy Protection in Blockchain Using SGX and Sidechains. 4th International Conference on Computational Intelligence in Data Science (ICCIDS), Mar 2021, Chennai, India. pp.200-209, ⟨10.1007/978-3-030-92600-7_19⟩. ⟨hal-03772926⟩
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