Detecting Malicious Domains: A Review
Volume 18, Issue 2, 2024
Download| Author(s): |
Samar Abbas Mangi* Shah Abdul Latif University Khairpur, Pakistan, mangisamar@gmail.com Samina Rajper Shah Abdul Latif University Khairpur, Pakistan, samina.rajper@salu.edu.pk Noor Ahmed Shaikh Shah Abdul Latif University Khairpur, Pakistan, noor.shaikh@salu.edu.pk Nizamuddin Maitlo IBA – Institiue of Emerging TechnologiesKhairpur, Pakistan, nizamuddin.cs@iba-suk.edu.pk Asad Hameed Soomro Benazir Bhutto Shaheed University of Technology & Skill Development, Pakistan , asad.oomro31@yahoo.Com Waseem Ahmed Buriro Sukkur IBA UniversitySukkur, Pakistan , burirowaseemahmed@gmail.com |
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| Abstract | Malicious domain names are an important and worrying indicator of cyberattacks and can pose serious risks to your privacy and property. Unwary Internet users can obtain malicious services from these domains, including spam servers, phishing sites, and command and control (C&C) servers. Therefore, developing efficient algorithms to identify tumor regions has attracted much attention and interest. Data sources and implementation strategies used by current detection technologies vary widely. In this study, we performed a comprehensive retrospective analysis of these methods and divided the data into DNS data and DGA data. Researchers must use appropriate detection techniques that match the unique characteristics of the data, because different data sources provide different data models and carry different information. Therefore, the detection method is divided into four types. For each method, we describe a general detection framework that defines the main steps and processes involved. In addition, we provide insight into the future potential of research on malicious domain detection. By examining existing methods for detecting and identifying vulnerabilities, this document contributes to the fight against the ever-changing threat of malicious domains, ultimately improving the security of Internet users worldwide. intended to improve. |
| Keywords | Malicious domain, cyberattacks, phishing sites, efficient algorithms, detection technologies, Domain Name System. |
| Year | 2024 |
| Volume | 18 |
| Issue | 2 |
| Type | Research paper, manuscript, article |
| Journal Name | Journal of Information & Communication Technology | Publisher Name | ILMA University | Jel Classification | - | DOI | - | ISSN no (E, Electronic) | 2075-7239 | ISSN no (P, Print) | 2415-0169 | Country | Pakistan | City | Karachi | Institution Type | University | Journal Type | Open Access | Manuscript Processing | Blind Peer Reviewed | Format | Paper Link | https://jict.ilmauniversity.edu.pk/journal/jict/18.2/5.pdf | Page | 31-37 | < /tr>