skip to main content
Guest
My Research
My Account
Sign out
Sign in
This feature requires javascript
Library Search
Find Databases
Browse Search
E-Journals A-Z
E-Books A-Z
Citation Linker
Help
Language:
English
Vietnamese
This feature required javascript
This feature requires javascript
Primo Search
All Library Resources
All
Course Materials
Course Materials
Search For:
Clear Search Box
Search in:
All Library Resources
Or hit Enter to replace search target
Or select another collection:
Search in:
All Library Resources
Search in:
Print Resources
Search in:
Digital Resources
Search in:
Online E-Resources
Advanced Search
Browse Search
This feature requires javascript
Search Limited to:
Search Limited to:
Resource type
criteria input
All items
Books
Articles
Images
Audio Visual
Maps
Graduate theses
Show Results with:
criteria input
that contain my query words
with my exact phrase
starts with
Show Results with:
Search type Index
criteria input
anywhere in the record
in the title
as author/creator
in subject
Full Text
ISBN
ISSN
TOC
Keyword
Field
Show Results with:
in the title
Show Results with:
anywhere in the record
in the title
as author/creator
in subject
Full Text
ISBN
ISSN
TOC
Keyword
Field
This feature requires javascript
A Cloud based Framework for Phishing Websites Detection Using Machine Learning Techniques
NeuroQuantology, 2022-01, Vol.20 (12), p.2700
Copyright NeuroQuantology 2022 ;EISSN: 1303-5150 ;DOI: 10.14704/NQ.2022.20.12.NQ77263
Full text available
Citations
Cited by
View Online
Details
Recommendations
Reviews
Times Cited
External Links
This feature requires javascript
Actions
Add to My Research
Remove from My Research
E-mail
Print
Permalink
Citation
EasyBib
EndNote
RefWorks
Delicious
Export RIS
Export BibTeX
This feature requires javascript
Title:
A Cloud based Framework for Phishing Websites Detection Using Machine Learning Techniques
Author:
1Yasmeen
;
2Dr Prasadu peddi
Subjects:
Accuracy
;
Algorithms
;
Artificial neural networks
;
Blacklisting
;
Cybercrime
;
Datasets
;
Domain names
;
Machine learning
;
Neural networks
;
Phishing
;
Software services
;
Support vector machines
;
URLs
;
User training
;
Websites
Is Part Of:
NeuroQuantology, 2022-01, Vol.20 (12), p.2700
Description:
Over a billion subscribers are served by cloud hosting services, which give them stable, affordable, dependable, high-speed, and internationally accessible resource access. Users frequently watch out for warning indicators of phishing attacks, such as websites with suspicious-looking domain names or those that lack an HTTPS certificate. Phishers often utilize social engineering tactics or create false websites to deceive their victims into divulging sensitive information such as account IDs, usernames, and passwords. This information can be used to steal money from individuals and corporations. Phishers have devised techniques to get around the many strategies to detect phishing websites. Nonetheless, these strategies have been put in place. Machine learning is one of the most effective methods for identifying potentially harmful behaviors. This is done so that approaches based on machine learning can identify the common features shared by the vast majority of phishing attacks. This research intends to train machine learning models and deep neural networks using the dataset produced to identify phishing websites. It is necessary to gather both phishing and benign URLs of websites to generate a dataset from which it will be possible to derive the required URL- and website content-based features. In this work, we compared the accuracy of the predictions made by several different machine-learning approaches for detecting phishing websites.
Publisher:
Bornova Izmir: NeuroQuantology
Language:
English
Identifier:
EISSN: 1303-5150
DOI: 10.14704/NQ.2022.20.12.NQ77263
Source:
ProQuest One Psychology
Geneva Foundation Free Medical Journals at publisher websites
AUTh Library subscriptions: ProQuest Central
This feature requires javascript
This feature requires javascript
Back to results list
This feature requires javascript
This feature requires javascript
Searching Remote Databases, Please Wait
Searching for
in
scope:(TDTS),scope:(SFX),scope:(TDT),scope:(SEN),primo_central_multiple_fe
Show me what you have so far
This feature requires javascript
This feature requires javascript