IJNRD Research Journal

WhatsApp
Click Here

WhatsApp editor@ijnrd.org
IJNRD
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (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 : 8.76

Issue per Year : 12

Volume Published : 9

Issue Published : 94

Article Submitted :

Article Published :

Total Authors :

Total Reviewer :

Total Countries :

Indexing Partner

Join RMS/Earn 300

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: AUTOMATIC DETECTION AND REMOVAL OF MALWARES IN CLOUD ENVIRONMENT
Authors Name: R.Gowthami Saranya , A.Subashini
Download E-Certificate: Download
Author Reg. ID:
IJNRD_180044
Published Paper Id: IJNRD1804003
Published In: Volume 3 Issue 4, April-2018
DOI:
Abstract: Cloud services are prominent within the private, public and commercial domains. Cloud services are critical in nature; therefore security and resilience are increasingly important aspects. To become resilient, a cloud must possess to have the ability to react not only to known threats, but also to all the new challenges that approach the cloud environment. Our cloud detection and removal approach, leads to dedicated detection technique of our cloud resilience architecture. Specifically, we exhibit the applicability of malware detection with the one-class SVM formulation at the various levels, through the utilization of features gathered at the system and network levels of a cloud node. Our approach can obtain high detection accuracy on detecting various types of malwares. Our approach evaluates the data’s of both the system-based data and also the network-based data depending on the various type of malwares. Finally, our approach for detection is particularly applicable to cloud environment and leads to a more flexible malware detection system capable of detecting new malware strains with no prior knowledge of their functionality or their underlying instructions.
Keywords: Security, Malware, DES, AES, Cryptography, Dataset, Protection, anomaly, SVM
Cite Article: "AUTOMATIC DETECTION AND REMOVAL OF MALWARES IN CLOUD ENVIRONMENT", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.3, Issue 4, page no.21-28, April-2018, Available :http://www.ijnrd.org/papers/IJNRD1804003.pdf
Downloads: 000118741
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 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:IJNRD1804003
Registration ID: 180044
Published In: Volume 3 Issue 4, April-2018
DOI (Digital Object Identifier):
Page No: 21-28
Country: -, -, -
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD1804003
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD1804003
Share Article:
Share

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijnrd.org
Semantic Scholar Microsaoft Academic ORCID Zenodo
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX PUBLON
DRJI SSRN Scribd DocStoc

ISSN Details

ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


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

Social Media

Licence

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

Join RMS/Earn 300

IJNRD