Browser Based Malicious Domain Detection through Extreme Learning Machine

Autor: null Dr. G. Nanthakumar, null Arunprakash. R, null Balamurugan. G, null Karthick. S
Rok vydání: 2022
Zdroj: International Journal of Advanced Research in Science, Communication and Technology. :929-934
ISSN: 2581-9429
DOI: 10.48175/ijarsct-4754
Popis: The main aim of the project is to detect the malicious domains in the internet through Machine learning approaches and is helpful in preventing the cybercrime. For that Extreme Learning Machine(ELM) approach is used to find the malicious domains in the web. The Terms used for the project are Browser application, extreme learning machine, feature selection, malicious domain detection, machine learning, Real-time training. This approach will be helpful in reducing the cybercrime such as harmful websites, fake websites that stores the user information, malicious attack website domains.
Databáze: OpenAIRE