Empirical Analysis of Transaction Malleability within Blockchain-based e-Voting
Khan, Kashif Mehboob and Arshad, Junaid and Khan, Muhammad Mubashir (2020) Empirical Analysis of Transaction Malleability within Blockchain-based e-Voting. Computers & Security. ISSN 0167-4048
| Preview | Text Empirical analysis of transaction malleability - COSE.pdf - Accepted Version Download (1MB) | 
Abstract
Blockchain is a disruptive technology that has been used to address a wide range of challenges in diverse domains including voting, logistics, healthcare and finance. Transaction malleability is one of the critical threats for blockchain, which can facilitate double-spending attacks by tampering with the state of a blockchain. This paper investigates the potential of transaction malleability attack within a blockchain-based application (e-voting) with the aim to identify settings which can lead to a successful transaction malleability attack. Therein, we aim to highlight conditions which can cause transaction malleability attack so as to help develop appropriate protection mechanisms. In particular, a successful execution of transaction malleability attack is presented which was conducted on a blockchain testbed hosting an e-voting application. The experiments identified significance of parameters such as network delay and block generation rate to successfully execute transaction malleability attack and have highlighted directions for future research.
| Item Type: | Article | 
|---|---|
| Identification Number: | 10.1016/j.cose.2020.102081 | 
| Dates: | Date Event 6 October 2020 Accepted 12 October 2020 Published Online | 
| Uncontrolled Keywords: | Blockchain, transaction malleabililty, blockchain security, security evaulation, e-Voting | 
| Subjects: | CAH11 - computing > CAH11-01 - computing > CAH11-01-01 - computer science | 
| Divisions: | Architecture, Built Environment, Computing and Engineering > Computer Science | 
| Depositing User: | Junaid Arshad | 
| Date Deposited: | 13 Oct 2020 12:52 | 
| Last Modified: | 22 Mar 2023 12:00 | 
| URI: | https://www.open-access.bcu.ac.uk/id/eprint/10061 | 
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