Angelo De Caro (IBM Research Zurich), Kaoutar Elkhiyaoui (IBM Research Zurich), Sandeep Nishad (IBM Research India), Sikhar Patranabis (IBM Research India), Venkatraman Ramakrishna (IBM Research India)

Interoperation across distributed ledger technology (DLT) networks hinges upon the secure transmission of ledger state from one network to another. This is especially challenging for private networks whose ledger access is limited to enrolled members. Existing approaches rely on a trusted centralized proxy that receives encrypted ledger state of a network, decrypts it, and sends it to members of another network. Though effective, this approach goes against the founding principle of DLT, namely avoiding single points of failure (or single sources of trust).

In this paper, we leverage fully-distributed broadcast encryption (FDBE in short) to build a fully decentralized protocol for confidential information-sharing across private networks. Compared to
traditional broadcast encryption (BE), FDBE is characterized by distributed setup and key generation, where mutually distrusting parties agree on a BE’s public key without a trusted setup, and securely derive their decryption keys. Given any FDBE, two private networks can securely share information as follows: a sender in one network uses the other network’s FDBE public key to encrypt a message for its members. The resulting construction is secure in the simplified universal composability (UC) framework.

To further demonstrate the practicality of our approach, we present the first instantiation of an FDBE that enjoys constant-sized decryption keys and ciphertexts, and evaluate the resulting performances through a reference implementation that considers two private Hyperledger Fabric networks within the Hyperledger Cacti interoperation framework.

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Yonatan Gizachew Achamyeleh (University of California, Irvine), Harsh Thomare (University of California, Irvine), Mohammad Abdullah Al Faruque (University of California, Irvine)

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Jérémie Decouchant (Delft University of Technology), David Kozhaya (ABB Corporate Research), Vincent Rahli (University of Birmingham), Jiangshan Yu (The University of Sydney)

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Sicheng Jin (University of New South Wales), Rahat Masood (University of New South Wales), Jung-Sook Lee (University of New South Wales), Hye-Young (Helen) Paik (University of New South Wales)

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