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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 10, ISSUE 5, MAY 2021

Analytical Study on IP Reputation Services & Automation for Traditional Method

Saraunsh Shewale, Prof. Leena Deshpande

DOI: 10.17148/IJARCCE.2021.10521

Abstract: A reputation score for an individual IP address is generated by an IP reputation platform, which can be used by businesses as a signal in a fraud risk scoring system. It is a common technique to identify malicious domains that are involved in spamming and phishing activities. IP reputation providers are becoming a popular risk assessment tool because they not only advise you if an IP address is hosting malicious content, but also whether it is involved in automated bot activity. Prior to the introduction of IP reputation services, organizations relied on solutions that linked the universal resource locator (URL) to malicious content such as spam, phishing emails, and viruses. URL-based solutions, on the other hand, were useless since they were sluggish to identify attacks and were easily circumvented by fraudsters. IP reputation services are now facing similar issues, as fraudsters leverage new tools and technologies to avoid detection.

Keywords: IP Reputation, Security, Threat Intel Feeds, Blacklists, Automation, Web Scraping.

How to Cite:

[1] Saraunsh Shewale, Prof. Leena Deshpande, “Analytical Study on IP Reputation Services & Automation for Traditional Method,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2021.10521