PhishDump: A multi-model ensemble based technique for the detection of phishing sites in mobile devices

Author:

Rao Routhu Srinivasa,Vaishnavi Tatti,Pais Alwyn Roshan

Funder

Ministry of Electronics & Information Technology (Meity), Government of India

Publisher

Elsevier BV

Subject

Software,Computer Science Applications,Hardware and Architecture,Computer Networks and Communications,Information Systems

Reference66 articles.

1. (2018). retail-threat-landscape-report october, 2018. https://www.intsights.com/retail-threat-landscape-report-october-2018. Accessed: 2018-11-16.

2. APWG (2018). Phishing attack trends reports, 1st quarter 2018. . Accessed: 2018-09-20.

3. (2018). Webroot: Mid-year threat report , 2018. https://www-cdn.webroot.com/2615/3756/6771/Webroot_Threat_Report_Mid-Year_Update_Sept_18_US.pdf. Accessed: 2018-11-16.

4. (2018). rsa-online-fraud-report q1 2018. https://www.rsa.com/en-us/offers/rsa-quarterly-fraud-report-q1-2018. Accessed: 2018-09-20.

5. Detection of phishing websites using an efficient feature-based machine learning framework;Rao;Neural Comput. Appl.,2018

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