English abstract
Blockchain technologies have been in the discussion for a decade now, with recent popularity given to its use in cryptocurrencies. Blockchain technology is indeed bringing
significant changes in the environment around us. It not only gives immutability, but it
also incorporates intermediation as well as gives accountability and persistence. The
blockchain spectrum has spread into a wide range of applications ranging from cryptocurrencies, real estate, finance, and the Internet of Things ("IoT"). Like any other emerging technology, blockchain does attract monetary benefits but is also prone to cyberattacks and other vulnerabilities. Selfish mining in a blockchain environment is becoming an area of concern for the stakeholders. This research work investigates the identification of selfish mining risks in the Ethereum platform of blockchain technology. The
Detection Process Model (DPM) will be proposed and evaluated, concluding how this
model will help to identify the selfish miners in an honest chain of blocks. A comparative study is conducted with the existing researches. Simulation of our proposed model
and revenue analysis will be considered as future work.
