Literal and Conceptual Consistency for Anti-Phishing Solution
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Phishing is a fraudulent attempt by cybercriminals where the target audience is consulted by either a text message, phone call or e-mail, requesting a classified and sensitive information relating to his financial transaction after presenting himself as a legitimate agent to a financial institution. When the target finally falls into a phishing attack tactics, there will be a terrible financial loss and identity theft. The target who might not initially realize his source and current state of attack can reveal all the confidential details such as credit card digit, online shopping account password, bank verification digits and even employment details. To shield clients from phishing assaults, numerous anti-phishing models have been proposed. It has been established that some techniques that are currently being employed over the years to handle these challenges are not sufficient and capable enough to do the needful in getting the lasting solution. To find a solution to this issue, this work aims at identifying phishing sites in order to guard internet users from being vulnerable to any form of phishing attacks by verifying both the conceptual and literal consistencies between the Uniform Resource Locator (URL) and the web contents. This technique was implemented using java and PHP programming language. The results after the implementation show that the application achieve 98% precision and accuracy; indicating that it is effective in detecting various forms of phishing attacks.
Phishing, cybercrime, legitimate, literal and conceptual
N.A Azeez and C.V Vyver (2019) "Verifying Literal and Conceptual Consistency for Anti-Phishing" IST-Africa 2019 Conference Nairobi, Kenya, 08 - 10 May 2019.