IJRTI
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

Call For Paper

For Authors

Forms / Download

Published Issue Details

Editorial Board

Other IMP Links

Facts & Figure

Impact Factor : 8.14

Issue per Year : 12

Volume Published : 10

Issue Published : 109

Article Submitted : 16085

Article Published : 7083

Total Authors : 19053

Total Reviewer : 687

Total Countries : 125

Indexing Partner

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: Malware Detection In Jpeg Images Using Ensemble Learning
Authors Name: Devika Radhakrishnan , Husna Binth Muhammed , Sumayya K , Chithra Rani P R
Download E-Certificate: Download
Author Reg. ID:
IJRTI_182983
Published Paper Id: IJRTI2207099
Published In: Volume 7 Issue 7, July-2022
DOI:
Abstract: As of past due digital assaults are improved and virtual crooks are trying to find a viable vector. JPEG snap shots are commonly utilized as an assault vector due to its lossy nature . They're prominently used by every person from human beings to significant institutions .So it is particularly essential to take conscious of this assault. On this paper we gift Malware reputation in JPEG images utilizing amassing learning.We collect ordinary photos and harmless images from infection all out. Ensemble learning is an ML model that joins the forecasts from as a minimum two models or the calculations that consolidate the expectancies from at the least two fashions. Here we make use of three styles of detail extractions, as an example, header based highlight extraction, histogram based totally include extraction and min-hash method based on 10 straightforward yet discriminative elements from the JPEG record shape. Three sorts of classifiers are utilized here like Logistic Regression, Random woods, Naive Bayes classifier. Then we foresee the relating photograph we stacked as malware or harmless. The outcome indicates that with the usage of institution getting to know model we get a most noteworthy vicinity capability.
Keywords: JPEG,QOE,EML,ML,EOI,MalJPEG
Cite Article: "Malware Detection In Jpeg Images Using Ensemble Learning", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 7, page no.687 - 690, July-2022, Available :http://www.ijrti.org/papers/IJRTI2207099.pdf
Downloads: 000204899
ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2207099
Registration ID:182983
Published In: Volume 7 Issue 7, July-2022
DOI (Digital Object Identifier):
Page No: 687 - 690
Country: Ernakulam, Kerala, India
Research Area: Computer Engineering 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2207099
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2207099
Share Article:

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijrti.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

ISSN Details

ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


Providing A digital object identifier by DOI.ONE
How to Get DOI?

Conference

Open Access License Policy

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Join RMS/Earn 300

IJRTI

WhatsApp
Click Here

Indexing Partner