Phishing Site Detection and Blacklisting Using EVCS, Steganography Based on Android Application

  • Ashitha Shaji
  • Mariya Stephen
  • Seethal Sadanandan
  • S. Sreelakshmi
  • K. A. FasilaEmail author
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 26)


Online shopping allows consumers to buy goods or services over the Internet. As the popularity of online shopping increases, Debit or Credit card fraud and personal information security are major concerns for customers, merchants, and banks. Identity theft and phishing are the common dangers of online shopping. In phishing process, suppose cheater sends out thousands of phishing emails with a link to the fake website. Victims click on links in email believing it is legitimate. They enter personal information on that fake website. Fraudsters use this information to login to the original website. This paper proposes a new scheme of detecting and preventing phishing sites. It is done using extended visual cryptography, steganography and android application. It reduces user interaction by auto-upload of shares and QR code details during authentication and this adds to security by reducing errors due to manual intervention.


Phishing One time password Quick response code Visual cryptography Steganography Auto-upload 


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Ashitha Shaji
    • 1
  • Mariya Stephen
    • 1
  • Seethal Sadanandan
    • 1
  • S. Sreelakshmi
    • 1
  • K. A. Fasila
    • 1
    Email author
  1. 1.Department of Computer Science and EngineeringMuthoot Institute of Science and TechnologyErnakulamIndia

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