Smishing Detector: A security model to detect smishing through SMS content analysis and URL behavior analysis-Reference-Cited by-同舟云学术

Smishing Detector: A security model to detect smishing through SMS content analysis and URL behavior analysis

Published:2020-07 Issue: Volume:108 Page:803-815
ISSN:0167-739X
Container-title:Future Generation Computer Systems
language:en
Short-container-title:Future Generation Computer Systems

Author:

Mishra Sandhya,Soni Devpriya

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference30 articles.

1. Mobile Internet - Statistics & Facts, Retrieved from https://www.statista.com/topics/779/mobile-internet/.

2. Number of mobile phone users in India from 2013 to 2019, Retrieved from https://www.statista.com/statistics/558610/number-of-mobile-internet-user-in-india/.

3. Global mobile statistics, part a: Mobile subscribers; handset market share; mobile operators, 2014, Retrieved from https://mobiforge.com/research-analysis/global-mobile-statistics-2014-part-a-mobile-subscribers-handset-market-share-mobile-operators/.

4. Daily SMS Mobile Usage Statistics. https://www.smseagle.eu/2017/03/06/sms-mobilestatistics-2/. (Accessed 7 June 2017).

5. L. Kessem, Rogue Mobile Apps, Phishing, Malware and Fraud, 2012, Retrieved from https://blogs.rsa.com/rogue-mobile-apps-phishing-malware-and-fraud.

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