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International Journal for Research Trends and Innovation
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Paper Title: Suspicious URL Detection with Machine Learning
Authors Name: Sanjana Tiwari , Ashok Kumar Behera , Monika Verma
Unique Id: IJRTI1912004
Published In: Volume 4 Issue 12, December-2019
Abstract: The web has turned into a key worldwide stage and a basic part of the general public that pastes together day by day correspondence, sharing, exchanging, joint effort, and administration conveyance. Countless associations overall depend on the web for their day by day activities, either totally or just too some degree. These days, the trust in an association vigorously relies upon the nature of its web nearness, which must pass on a feeling of trust and steadfastness to its users over the time. Websites have been created or controlled by attackers for use as attack instruments. A client's machine can be tainted and barged in simply by visiting a pernicious web page, and this sort of attack is known as a drive-by download attack.
Cite Article: "Suspicious URL Detection with Machine Learning", International Journal of Science & Engineering Development Research (, ISSN:2455-2631, Vol.4, Issue 12, page no.20 - 24, December-2019, Available :
Downloads: 0001202
Publication Details: Published Paper ID: IJRTI1912004
Registration ID:181046
Published In: Volume 4 Issue 12, December-2019
DOI (Digital Object Identifier):
ISSN Number: 2456 - 3315
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