Ended on 2nd Nov'20 03:30 PM (Coordinated Universal Time)
Data Sprint #12: Web Page Phishing Detection
Build a web page phishing detector
569
Medium
Challenge Starts
30 Oct 03:30 pm
Registration Ends
02 Nov 03:30 pm
Challenge Ends
02 Nov 03:30 pm
Context
What is Phishing?
Phishing is a type of cybercrime in which a target or targets are contacted by email, telephone or text message by someone posing as a legitimate institution to lure individuals into providing sensitive data such as personally identifiable information, banking and credit card details, and passwords.
The information is then used to access important accounts of the victims and it mostly results in identity theft and financial loss.
Phishing is one of the most popular cybercrimes among attackers as it is easier to trick someone into clicking a malicious link which seems legitimate than trying to break through a computer’s defence systems.
Problem Statement
Phishing attacks have been causing havoc for many years. They are increasingly becoming a concern all over the world.
Being a data science enthusiast, you challenge yourself to solve this problem using the power of machine learning and data science.
Objective
You are required to develop a machine learning detector that would automatically detect phishing attacks.
Evaluation Criteria
Submissions are evaluated using Accuracy Score.
How do we do it?
Once we release the data, anyone can download it, build a model, and make a submission. We give competitors a set of data (
training data
) with both the independent and dependent variables.
We also release another set of data (
test dataset
) with just the independent variables, and we hide the dependent variable that corresponds with this set. You submit the predicted values of the dependent variable for this set and we compare it against the actual values.
The predictions are evaluated based on the evaluation metric defined in the datathon.