Systematic Approach to Analyze Attacks on SCM: using Blockchain
B.Ratnakanth1, K.VenkataRamana2
1B.Ratnakanth , Assoc. Prof, Vindhya Institute Of Technology and Science, Hyderabad India.
2Dr.K.VenkataRamana, Asstt. Prof. Andhra University, Visakhapatnam India.
Manuscript received on May 25, 2020. | Revised Manuscript received on June 29, 2020. | Manuscript published on July 30, 2020. | PP: 1086-1094 | Volume-9 Issue-2, July 2020. | Retrieval Number: B4091079220/2020©BEIESP | DOI: 10.35940/ijrte.B4091.079220
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Smart contracts are programs, which are stored in a decentralized network i.e. Block chain. These are written by users to develop decentralized applications using different platform like Ethereum and bitcoin. In current scenario, even though blockchain support features like security and transparency. Because of solidity language vulnerability, there is a possibility of attacks on smart contracts in blockchain. So, to avoid those attacks like i.e. Locked Ether, Transaction order dependency and Time stamp dependency. We discussed, analyzed and tested these attacks in this paper. Further, in our project supply chain management for textile industry using block chain technology, we have developed smart contract using solidity language on Ethereum Platform. With the aim of protecting our project from these attacks, we are thoroughly and experimentally analyzed. And based on the experimental observations, we are going to protect our project from these attacks. All the above mentioned attacks are thoroughly studied and experimentally tested on Ganache, Ropston test network, Rinkeby test network using Remix IDE in JVM, injectedweb3and web3 provider environments. Finally, we have suggested security measures to protect from these attacks
Keywords: Blockchain, scm, attacks, smart ontracts, vulnerabilities