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Call for Papers:Vol.9 Issue.3

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Title: :  Detecting Suspicious URLs using Bayesian Classification in OSN Data
PaperId: :  1702
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 2 Issue 2 2016
DUI:    16.0415/IJARIIE-1702
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Shewale Rekha V.Sanjivani College of Engineering,Kopargaon
Suralkar Rupali H.Sanjivani College of Engineering,Kopargaon
Barhate Apeksha S.Sanjivani College of Engineering,Kopargaon
Bargal Varsharani D.Sanjivani College of Engineering,Kopargaon

Abstract

Information Technology
SNSs Social Network Services, URLs Uniform Resource Locators, TLD Top Level Domain.
The main concept behind this project is to develop Social network services (SNSs) are increasing popular. Using SNSs communicating with friends that can be used to share information with friends. There are so many unwanted web sites are cornerstone of internet. As a result, there has been broad interest for developing system to prevent the end user from visiting such sites. So is uses approach to prevent the system is based on URL classification, using statistical methods to discover lexical and host based properties of malicious web sites URLs. In this a feature set is presented that combines the features of traditional social networking. Further a suspicious URL identification system for use in social network environments is proposed based on Bayesian classification.

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IJARIIE Shewale Rekha V., Suralkar Rupali H., Barhate Apeksha S., and Bargal Varsharani D.. "Detecting Suspicious URLs using Bayesian Classification in OSN Data" International Journal Of Advance Research And Innovative Ideas In Education Volume 2 Issue 2 2016 Page 315-320
MLA Shewale Rekha V., Suralkar Rupali H., Barhate Apeksha S., and Bargal Varsharani D.. "Detecting Suspicious URLs using Bayesian Classification in OSN Data." International Journal Of Advance Research And Innovative Ideas In Education 2.2(2016) : 315-320.
APA Shewale Rekha V., Suralkar Rupali H., Barhate Apeksha S., & Bargal Varsharani D.. (2016). Detecting Suspicious URLs using Bayesian Classification in OSN Data. International Journal Of Advance Research And Innovative Ideas In Education, 2(2), 315-320.
Chicago Shewale Rekha V., Suralkar Rupali H., Barhate Apeksha S., and Bargal Varsharani D.. "Detecting Suspicious URLs using Bayesian Classification in OSN Data." International Journal Of Advance Research And Innovative Ideas In Education 2, no. 2 (2016) : 315-320.
Oxford Shewale Rekha V., Suralkar Rupali H., Barhate Apeksha S., and Bargal Varsharani D.. 'Detecting Suspicious URLs using Bayesian Classification in OSN Data', International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 2, 2016, p. 315-320. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Detecting_Suspicious_URLs_using_Bayesian_Classification_in_OSN_Data_ijariie1702.pdf (Accessed : 11 April 2018).
Harvard Shewale Rekha V., Suralkar Rupali H., Barhate Apeksha S., and Bargal Varsharani D.. (2016) 'Detecting Suspicious URLs using Bayesian Classification in OSN Data', International Journal Of Advance Research And Innovative Ideas In Education, 2(2), pp. 315-320IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Detecting_Suspicious_URLs_using_Bayesian_Classification_in_OSN_Data_ijariie1702.pdf (Accessed : 11 April 2018)
IEEE Shewale Rekha V., Suralkar Rupali H., Barhate Apeksha S., and Bargal Varsharani D., "Detecting Suspicious URLs using Bayesian Classification in OSN Data," International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 2, pp. 315-320, Mar-App 2016. [Online]. Available: https://ijariie.com/AdminUploadPdf/Detecting_Suspicious_URLs_using_Bayesian_Classification_in_OSN_Data_ijariie1702.pdf [Accessed : 11 April 2018].
Turabian Shewale Rekha V., Suralkar Rupali H., Barhate Apeksha S., and Bargal Varsharani D.. "Detecting Suspicious URLs using Bayesian Classification in OSN Data." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 2 number 2 (11 April 2018).
Vancouver Shewale Rekha V., Suralkar Rupali H., Barhate Apeksha S., and Bargal Varsharani D.. Detecting Suspicious URLs using Bayesian Classification in OSN Data. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2016 [Cited : 11 April 2018]; 2(2) : 315-320. Available from: https://ijariie.com/AdminUploadPdf/Detecting_Suspicious_URLs_using_Bayesian_Classification_in_OSN_Data_ijariie1702.pdf
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