Global Security, Safety and Sustainability & e-Democracy. 7th International and 4th e-Democracy, Joint Conferences, ICGS3/e-Democracy 2011, Thessaloniki, Greece, August 24-26, 2011, Revised Selected Papers

Research Article

Improved Awareness on Fake Websites and Detecting Techniques

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  • @INPROCEEDINGS{10.1007/978-3-642-33448-1_36,
        author={Hossein Jahankhani and Thulasirajh Jayaraveendran and William Kapuku-Bwabw},
        title={Improved Awareness on Fake Websites and Detecting Techniques},
        proceedings={Global Security, Safety and Sustainability \& e-Democracy. 7th International and 4th e-Democracy, Joint Conferences, ICGS3/e-Democracy 2011, Thessaloniki, Greece, August 24-26, 2011, Revised Selected Papers},
        proceedings_a={ICGS3 \& E-DEMOCRACY},
        year={2012},
        month={10},
        keywords={cybercrime scammers fake websites URL},
        doi={10.1007/978-3-642-33448-1_36}
    }
    
  • Hossein Jahankhani
    Thulasirajh Jayaraveendran
    William Kapuku-Bwabw
    Year: 2012
    Improved Awareness on Fake Websites and Detecting Techniques
    ICGS3 & E-DEMOCRACY
    Springer
    DOI: 10.1007/978-3-642-33448-1_36
Hossein Jahankhani1,*, Thulasirajh Jayaraveendran1,*, William Kapuku-Bwabw1,*
  • 1: University of East London
*Contact email: h.jahankhani@uel.ac.uk, thulasirajh@gmail.com, wbkapuku@yahoo.co.uk

Abstract

Fake website pages use the similar page layout, font style and picture to mimic legitimate web pages in an effort to convince internet users to give their personal sensitive information such as bank account number, passwords, personal details etc and also sell fake products like fake ticket, duplicate brand cloths, medication etc. There are many available techniques in the market to identify the fake websites. This paper provides an efficient awareness on detecting fake websites. A novel technique or tool will be proposed, implemented and analysed. This technique visually compares a suspected fake website page with legitimate web page by capturing the snapshot of the fake page and identifies it using the assigned identity pixels which are in the legitimate webpage.