Detection of malicious URLs using machine learning techniques

I.N.V.D. Naveen; K. Manamohana; R. Verma

Detection of malicious URLs using machine learning techniques

I.N.V.D. Naveen
, K. Manamohana
, R. Verma

School of Informatics and Cybersecurity

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	389-393
Number of pages	5
Journal	International Journal of Innovative Technology and Exploring Engineering
Volume	8
Issue number	4S2
Publication status	Published - 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 16 Peace, Justice and Strong Institutions

Keywords

Black-Listing
Cyber crime
Machine learning
Malicious URLs
URL features

Cite this

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title = "Detection of malicious URLs using machine learning techniques",

keywords = "Black-Listing, Cyber crime, Machine learning, Malicious URLs, URL features",

author = "I.N.V.D. Naveen and K. Manamohana and R. Verma",

note = "Publisher Copyright: {\textcopyright} BEIESP.",

year = "2019",

language = "English",

volume = "8",

pages = "389--393",

journal = "International Journal of Innovative Technology and Exploring Engineering",

issn = "2278-3075",

publisher = "Blue Eyes Intelligence Engineering and Sciences Publication",

number = "4S2",

}

TY - JOUR

T1 - Detection of malicious URLs using machine learning techniques

AU - Naveen, I.N.V.D.

AU - Manamohana, K.

AU - Verma, R.

N1 - Publisher Copyright: © BEIESP.

PY - 2019

Y1 - 2019

KW - Black-Listing

KW - Cyber crime

KW - Machine learning

KW - Malicious URLs

KW - URL features

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UR - https://www.scopus.com/pages/publications/85063340966

M3 - Article

SN - 2278-3075

VL - 8

SP - 389

EP - 393

JO - International Journal of Innovative Technology and Exploring Engineering

JF - International Journal of Innovative Technology and Exploring Engineering

IS - 4S2

ER -