Patents by Inventor Vigneswaran RAMACHANDRAN

Vigneswaran RAMACHANDRAN has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11704303
    Abstract: Transaction executions/commits in a blockchain network need to be fast, robust and secure and thus calls for minimal latency in transaction commits. In an execute-order-commit blockchain network, latency is high due to smart contracts been executed at every endorsing node of the blockchain network. A method and system for processing transactions in the blockchain network is disclosed. The system discloses a veriblock architecture, which enables processing a transaction request by executing an associated smart contract along with a proof of correctness of execution of smart contract using only one endorser. Further, enables verifying the smart contract by multiple endorsers. The smart contract associated with the proof, referred herein as a vericontract, is executed to generate an output and the proof using one of a) Verifiable Computing (VC) approach, b) a TEE approach and c) a hybrid approach (combination of VC and TEE).
    Type: Grant
    Filed: December 18, 2020
    Date of Patent: July 18, 2023
    Assignee: TATA CONSULTANCY SERVICES LIMITED
    Inventors: Meena Singh Dilip Thakur, Lakshmi Padmaja Maddali, Vigneswaran Ramachandran, Rajan Mindigal Alasingara Bhattachar, Srujana Kanchanapalli, Batsayan Das
  • Publication number: 20230214318
    Abstract: A method and system for finding vulnerabilities in a program using fuzzing have been provided. The disclosure provides a vulnerability detection framework using a language agnostic single fuzzer that can fuzz smart contracts written in different programming languages. The idea here is that a smart contract written in a high-level language is converted/compiled into an LLVM intermediate representation (LLVM IR) code and then perform the fuzzing on this LLVM IR code instead of fuzzing smart contract source code directly. The process of generating fuzz driver, report driver is automated by handling the standardization issue by carefully dividing the smart contracts into categories. The present disclosure is proposing processes of automation of fuzz or report driver generation. Further the language agnostic feature (done with intermediate representation) is also achieved. Further profiling is achieved which processes fuzzer output and generates meaningful data points.
    Type: Application
    Filed: November 23, 2022
    Publication date: July 6, 2023
    Applicant: Tata Consultancy Services Limited
    Inventors: HARSHITA VANI NALLAGONDA, SIDDHASAGAR PANI, VIGNESWARAN RAMACHANDRAN, RAVEENDRA KUMAR MEDICHERLA, RAJAN MINDIGAL ALASINGARA BHATTACHAR
  • Publication number: 20210232571
    Abstract: Transaction executions/commits in a blockchain network need to be fast, robust and secure and thus calls for minimal latency in transaction commits. In an execute-order-commit blockchain network, latency is high due to smart contracts been executed at every endorsing node of the blockchain network. A method and system for processing transactions in the blockchain network is disclosed. The system discloses a veriblock architecture, which enables processing a transaction request by executing an associated smart contract along with a proof of correctness of execution of smart contract using only one endorser. Further, enables verifying the smart contract by multiple endorsers. The smart contract associated with the proof, referred herein as a vericontract, is executed to generate an output and the proof using one of a) Verifiable Computing (VC) approach, b) a TEE approach and c) a hybrid approach (combination of VC and TEE).
    Type: Application
    Filed: December 18, 2020
    Publication date: July 29, 2021
    Applicant: Tata Consultancy Services Limited
    Inventors: Meena SINGH DILIP THAKUR, Lakshmi Padmaja MADDALI, Vigneswaran RAMACHANDRAN, Rajan Mindigal Alasingara BHATTACHAR, Srujana KANCHANAPALLI, Batsayan DAS