Pure-Octet Extraction based Technique for Identifying Malicious URLs based on IP Address Attributes
Автор: Aasha Singh, Awadhesh Kumar, Ajay Kumar Bharti, Vaishali Singh
Журнал: International Journal of Wireless and Microwave Technologies @ijwmt
Статья в выпуске: 6 Vol.12, 2022 года.
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On the basis of characteristics derived from IPv4 addresses, this paper offers a method for identifying interaction linked with website-based malware and then modelling a machine-learning-based classifier. In this research work, a modified approach is proposed for detecting fraudulent websites and compared with other methods like SVM assessment of IP addresses, octet-based technique, modified extended version of octet-based technique, and bit string-based characteristics. This modified approach is based on the fact that logical addressing is more reliable and consistent than other measures like URLs and DNS. The characteristic sequence which makes up URLs and domain names are more changeable with respect to IP addresses which are less changeable in comparison to URLs or domain names. The IPv4 address length is encoded into 4-byte space. Here, we have evaluated our modified approach with valid IP addresses from Kaggle [11], published on January 16, 2018, have been used to validate the efficacy of their metho.
URLs, SVM, IP address, Malware, Pure-Octet, Decision Tree, Accuracy
Короткий адрес: https://sciup.org/15019194
IDR: 15019194 | DOI: 10.5815/ijwmt.2022.06.03
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