Research Article
AI-Based Control Approach of .SN Reserved Domain Names (aIDN.SN)
@INPROCEEDINGS{10.1007/978-3-031-86493-3_22, author={Evrard Cabrel Nguemeyou Tchouangang and Ahmadou Ndiaye and Bassirou Kass\^{e} and Alex Corenthin and Idrissa Sarr}, title={AI-Based Control Approach of .SN Reserved Domain Names (aIDN.SN)}, proceedings={Innovations and Interdisciplinary Solutions for Underserved Areas. 7th International Conference, InterSol 2024, Dakar, Senegal, July 3--4, 2024, Proceedings}, proceedings_a={INTERSOL}, year={2025}, month={4}, keywords={DNS DNS abuses Intelligent domain names systems squatting typosquatting cybersquatting Soundsquatting}, doi={10.1007/978-3-031-86493-3_22} }- Evrard Cabrel Nguemeyou Tchouangang
Ahmadou Ndiaye
Bassirou Kassé
Alex Corenthin
Idrissa Sarr
Year: 2025
AI-Based Control Approach of .SN Reserved Domain Names (aIDN.SN)
INTERSOL
Springer
DOI: 10.1007/978-3-031-86493-3_22
Abstract
DNS (Domain Name System) is the distributed computer service that associates Internet domain names with their IP addresses. For the sake of business or malicious actions, some persons can make various DNS abuses such as squatting, typosquatting, and so on. To prevent such abuses, DNS managers elaborate a couple of policies and tools to double-check whether a domain name is compliant or not. Some existing solutions rely on identifying a list of reserved terms and proceed to syntactic verification before allowing the record of a new domain name. Such an approach, unfortunately, does not prevent typosquatting and Soundsquatting. To overcome such a drawback, we introduce a control approach made of both syntactic and phonetic verification supported by a classification module for decision-making. Our approach is validated over a set of 9726 domain names and around 5200 reserved terms. Results show the effectiveness of our approach and how it overcomes the existing algorithms devised for terms-reserved compliance check.
