SMS Phishing and Mitigation Approaches

@article{Mishra2019SMSPA,
  title={SMS Phishing and Mitigation Approaches},
  author={Sandhya Mishra and Devpriya Soni},
  journal={2019 Twelfth International Conference on Contemporary Computing (IC3)},
  year={2019},
  pages={1-5}
}
  • Sandhya Mishra, Devpriya Soni
  • Published 1 August 2019
  • Computer Science
  • 2019 Twelfth International Conference on Contemporary Computing (IC3)
Smishing is an attack targeted to mobile devices in which the attacker sends text messages containing malicious links, phone numbers or E-Mail IDs to the victim and the attacker aims to steal sensitive user data like bank account details, passwords, user credentials, credit card details, etc through this message. Through this message, the attacker prompts the user to click on the link or contact the phone number or E-mail ID provided in the SMS. In this paper, we have discussed various mobile… 
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Citation Type

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A smishing detection model comprising of two phases, Domain Checking Phase and SMS Classification Phase, which examines the authenticity of the URL in the SMS which is a crucial part of SMS phishing detection is presented.
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The study provides gap analysis of conventional anti-phishing techniques, and points out the challenges facing machine learning based approaches including proper feature selection, diversity in data sets, imbalanced scenarios, and differences in evaluation metrics.
Online meta-learning firewall to prevent phishing attacks
  • Hongpeng Zhu
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This research proposes the online meta-learning firewall to prevent phishing attacks, a highly innovative and fully automated active safety tool that uses a long short-term memory meta-learner algorithm inspired by the model of short and long- term memory.

References

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