Design of Phishing Simulation Dashboard Using Analytic Data Concepts

Autor: Risma Septiana, R. K. Julian
Rok vydání: 2020
Předmět:
Zdroj: Journal of Physics: Conference Series. 1577:012041
ISSN: 1742-6596
1742-6588
DOI: 10.1088/1742-6596/1577/1/012041
Popis: Security awareness is the main concern of phishing attack prevention. Every internet user will deal with a serious issue. Phishing is the falsification of messages that aims to retrieve important information from the recipient of the message. In a company, phishing becomes a serious problem because it can come to all employees suddenly. Employees who do not understand the dangers of phishing are the most dangerous threats because they are likely to be the main supporters of the success of phishing attacks. Understanding of phishing attack can be seen from the way the worker responds to incoming messages. A company makes a phishing simulation to find out the handling of the employee on a fake message came. One of the phishing simulation tools is web forgery. In this research, phishing simulations attack every employee in a company. The employee will receive a message that contains a field. The result will show a percentage of employee that successfully attacked. The results will be displayed on a dashboard after being processed using an analytic data concept. The processes of data analytic involve business intelligent software called QlikView. The software gives a percentage of the employee who opens the fake message and fills some data in the fields is about 13.9%.
Databáze: OpenAIRE