Malicious URL Detector for low power consumption using Blacklist

1Nandhini S, Nanda Kishore, Josephus Andrew, Shubham Godara

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Abstract:

There have been many attacks on websites and information has been hacked using using viruses and Trojans through the URL or Universal Resource Locator of the website. This problem can be controlled by using a program called a URL detector that uses a blacklist which basically denies access to the website when malicious activity is detected. A convoluted neural network is used to deny access to the URL if it does not match with the existing URLs in the blacklist. This method of scanning for malicious URLs is efficient and power saving in most aspects.

Keywords:

URL, convoluted, Trojans, blacklist.

Paper Details
Month3
Year2020
Volume24
IssueIssue 3
Pages4240-4245