Effective Spam Filtration and Fraud Identification Mechanism in Android Phones using Deep Learning and Artificial Intelligence

Authors

  • Ms. S. S. Wankhede  Assistant Professor, Department of Computer Science & Engineering, Priyadarshini Bhagwati College of Engineering, Nagpur, Maharashtra, India
  • Pradnya Khobragade  Department of Computer Science & Engineering, Priyadarshini Bhagwati College of Engineering, Nagpur, , Maharashtra, India
  • Shivani Bhoyar  Department of Computer Science & Engineering, Priyadarshini Bhagwati College of Engineering, Nagpur, , Maharashtra, India
  • Trupti Kawale  Department of Computer Science & Engineering, Priyadarshini Bhagwati College of Engineering, Nagpur, , Maharashtra, India
  • Sahil Raut  Department of Computer Science & Engineering, Priyadarshini Bhagwati College of Engineering, Nagpur, , Maharashtra, India

Keywords:

Short message services, deep learning, Artificial Intelligence, Spam

Abstract

The widely used and mostly accessible communication medium to reach large volume of users in low cost is the “Short Message Service” i.e. SMS. These communication even though are useful for the advertisements in various sectors like banking, agriculture or even for the governmental schemes but sometimes they create a nuisances for those users which are not intended audience for that message. Some messages even may contain malicious links too. The efforts are proposed to restrict these spam messages using the hybrid mechanism deploying the deep learning and artificial intelligence.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2022-04-30

Issue

Volume 9, Issue 2, March-April-2022

Section

Research Articles

License

Copyright (c) IJSRSET

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Ms. S. S. Wankhede, Pradnya Khobragade, Shivani Bhoyar, Trupti Kawale, Sahil Raut, " Effective Spam Filtration and Fraud Identification Mechanism in Android Phones using Deep Learning and Artificial Intelligence, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 9, Issue 2, pp.132-142, March-April-2022.