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Title: :  A Hybrid Approach to Detect Suspicious URLs
PaperId: :  1741
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-1741
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Saurabh MuthalVishwakarma Institute of Information Technology
Ameya PawarVishwakarma Institute of Information Technology
Saurabh HarneVishwakarma Institute of Information Technology

Abstract

Computer Engineering
Bayesian classification, Malicious websites, K-means clustering
Social network services are increasing trend now days. Communicating between people forms a social network. Personal information is usually collected through Social network services in targeted attacks and craft attacks based on a specific user profile. Online payment systems can be used to create a fake payment portal by using a similar gateway URL (Online fraud). Because users are curious and unknown, they generally click on suspicious URLs without verification. A feature set is presented that merged the features of traditional heuristics and lexical features of URLs. A suspicious URL identification system for use in all over web environments is proposed based on K-means clustering algorithm and Bayesian classification.

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IJARIIE Saurabh Muthal, Ameya Pawar, and Saurabh Harne. "A Hybrid Approach to Detect Suspicious URLs" International Journal Of Advance Research And Innovative Ideas In Education Volume 2 Issue 2 2016 Page 422-425
MLA Saurabh Muthal, Ameya Pawar, and Saurabh Harne. "A Hybrid Approach to Detect Suspicious URLs." International Journal Of Advance Research And Innovative Ideas In Education 2.2(2016) : 422-425.
APA Saurabh Muthal, Ameya Pawar, & Saurabh Harne. (2016). A Hybrid Approach to Detect Suspicious URLs. International Journal Of Advance Research And Innovative Ideas In Education, 2(2), 422-425.
Chicago Saurabh Muthal, Ameya Pawar, and Saurabh Harne. "A Hybrid Approach to Detect Suspicious URLs." International Journal Of Advance Research And Innovative Ideas In Education 2, no. 2 (2016) : 422-425.
Oxford Saurabh Muthal, Ameya Pawar, and Saurabh Harne. 'A Hybrid Approach to Detect Suspicious URLs', International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 2, 2016, p. 422-425. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/A_Hybrid_Approach_to_Detect_Suspicious_URLs_ijariie1741.pdf (Accessed : ).
Harvard Saurabh Muthal, Ameya Pawar, and Saurabh Harne. (2016) 'A Hybrid Approach to Detect Suspicious URLs', International Journal Of Advance Research And Innovative Ideas In Education, 2(2), pp. 422-425IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/A_Hybrid_Approach_to_Detect_Suspicious_URLs_ijariie1741.pdf (Accessed : )
IEEE Saurabh Muthal, Ameya Pawar, and Saurabh Harne, "A Hybrid Approach to Detect Suspicious URLs," International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 2, pp. 422-425, Mar-App 2016. [Online]. Available: https://ijariie.com/AdminUploadPdf/A_Hybrid_Approach_to_Detect_Suspicious_URLs_ijariie1741.pdf [Accessed : ].
Turabian Saurabh Muthal, Ameya Pawar, and Saurabh Harne. "A Hybrid Approach to Detect Suspicious URLs." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 2 number 2 ().
Vancouver Saurabh Muthal, Ameya Pawar, and Saurabh Harne. A Hybrid Approach to Detect Suspicious URLs. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2016 [Cited : ]; 2(2) : 422-425. Available from: https://ijariie.com/AdminUploadPdf/A_Hybrid_Approach_to_Detect_Suspicious_URLs_ijariie1741.pdf
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