UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

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Published in:

Volume 6 Issue 3
March-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1903C48


Registration ID:
201143

Page Number

337-343

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Title

An Hybrid Technique Using Logistic Regression Algorithm for Static and Dynamic Analysis For Identifying Malicious Web Pages

Abstract

An Hybrid Technique Using Logistic Regression Algorithm for Static and Dynamic Analysis Use of mobile phones for getting to the web has extended broadly, anyway paying little heed to basic advances in processor power and exchange speed, using PDAs for examining isn't equivalent to work region scrutinizing. Content constituents and page arrangements are used to perform static goals to decide vindictiveness in the page content space. The investigation way centers on building an enhanced framework to distinguish malignant destinations consistently by joining of Dynamic recognizable proof methodologies. In the continuous separated from utilizing since quite a while ago settled static methodologies recommended already the dynamic examination bases on API Calls Observation and Filtration and furthermore for each malware family a plan of precedents are recognized, every model addressed a changed watched variation of the first malware record. The present work additionally centers on examining the executable page contents for malevolent code identification for API calls present in the content. Exploratory outcomes demonstrate that the enhanced strategy performs superior to past methodology that centers on just static examination.

Key Words

Malicious web page, Static analysis, Dynamic analysis, Security Threats, Mobile Based Threats

Cite This Article

"An Hybrid Technique Using Logistic Regression Algorithm for Static and Dynamic Analysis For Identifying Malicious Web Pages ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.337-343, March-2019, Available :http://www.jetir.org/papers/JETIR1903C48.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"An Hybrid Technique Using Logistic Regression Algorithm for Static and Dynamic Analysis For Identifying Malicious Web Pages ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp337-343, March-2019, Available at : http://www.jetir.org/papers/JETIR1903C48.pdf

Publication Details

Published Paper ID: JETIR1903C48
Registration ID: 201143
Published In: Volume 6 | Issue 3 | Year March-2019
DOI (Digital Object Identifier):
Page No: 337-343
Country: Ambikapur, Chhattisgarh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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