K-Anonymity System Using Tkinter and Python: Data Generalization and Precise Value Retrieval

This Python program uses Tkinter to build a user-friendly K-Anonymity system, allowing for data anonymization and precise value retrieval. Users can upload CSV datasets, select attributes for generalization, define the K-value, and retrieve specific values from the anonymized dataset.

Key Features:

1. Graphical User Interface (GUI): A Tkinter-based GUI simplifies interaction and makes the system accessible to users without coding experience.
2. Dataset Upload: Users can upload CSV datasets to be anonymized.
3. Attribute Selection: Users can choose specific attributes from the dataset to be generalized.
4. K-Value Input: Users specify the K-value, determining the minimum number of records in each group after anonymization.
5. K-Anonymity Processing: The program performs K-Anonymization on the selected attributes, generalizing values to ensure privacy.
6. Anonymized Data Display: The processed dataset, with anonymized values, is displayed within the GUI.
7. Download Anonymized Data: Users can save the anonymized dataset to a CSV file.
8. Precise Value Search: Users can search for specific values within the anonymized dataset, retrieving the corresponding records.

Code Breakdown:

1. Importing Libraries:

import tkinter as tk
import tkinter.filedialog
import tkinter.messagebox
import pandas as pd

2. Creating the GUI:

root = tk.Tk()
root.title('K-Anonymity System')
root.geometry('800x600')

3. File Upload:

def open_file():
    global df
    filename = tk.filedialog.askopenfilename()
    if filename.endswith('.csv'):
        df = pd.read_csv(filename)
        text.delete('1.0', 'end')
        text.insert('1.0', df.head())
    else:
        tk.messagebox.showerror('Error', 'File format not supported.')

btn_open = tk.Button(root, text='Open', command=open_file)
btn_open.pack()

text = tk.Text(root)
text.pack()

4. Attribute Selection:

def get_columns():
    global columns, options
    columns = list(df.columns)
    options = []
    for col in columns:
        options.append(col)
    option_menu['menu'].delete(0, 'end')
    for option in options:
        option_menu['menu'].add_command(label=option, command=tk._setit(var, option))

lbl_col = tk.Label(root, text='Select column:')
lbl_col.pack()

var = tk.StringVar()
option_menu = tk.OptionMenu(root, var, '')
option_menu.pack()

btn_columns = tk.Button(root, text='Get columns', command=get_columns)
btn_columns.pack()

5. K-Value Input:

lbl_k = tk.Label(root, text='Enter k value:')
lbl_k.pack()

entry_k = tk.Entry(root)
entry_k.pack()

6. K-Anonymity Processing:

def k_anonymity():
    global df_k
    column = var.get()
    k = int(entry_k.get())
    df_k = pd.DataFrame(columns=df.columns)
    for i in df[column].unique():
        df_i = df[df[column] == i]
        if len(df_i) >= k:
            df_i[column] = '*'
            df_k = pd.concat([df_k, df_i])
        else:
            df_k = pd.concat([df_k, df_i])
    text.delete('1.0', 'end')
    text.insert('1.0', df_k.head())

btn_k_anonymity = tk.Button(root, text='K-Anonymity', command=k_anonymity)
btn_k_anonymity.pack()

7. Saving Anonymized Data:

def save_file():
    filename = tk.filedialog.asksaveasfilename(defaultextension='.csv')
    df_k.to_csv(filename, index=False)

btn_save = tk.Button(root, text='Save', command=save_file)
btn_save.pack()

8. Precise Value Search:

def search():
    column = var.get()
    value = entry_search.get()
    df_search = df_k[df_k[column] == value]
    text.delete('1.0', 'end')
    text.insert('1.0', df_search.head())

lbl_search = tk.Label(root, text='Enter value to search:')
lbl_search.pack()

entry_search = tk.Entry(root)
entry_search.pack()

btn_search = tk.Button(root, text='Search', command=search)
btn_search.pack()

Complete Code:

import tkinter as tk
import tkinter.filedialog
import tkinter.messagebox
import pandas as pd

root = tk.Tk()
root.title('K-Anonymity System')
root.geometry('800x600')

def open_file():
    global df
    filename = tk.filedialog.askopenfilename()
    if filename.endswith('.csv'):
        df = pd.read_csv(filename)
        text.delete('1.0', 'end')
        text.insert('1.0', df.head())
    else:
        tk.messagebox.showerror('Error', 'File format not supported.')

btn_open = tk.Button(root, text='Open', command=open_file)
btn_open.pack()

text = tk.Text(root)
text.pack()

def get_columns():
    global columns, options
    columns = list(df.columns)
    options = []
    for col in columns:
        options.append(col)
    option_menu['menu'].delete(0, 'end')
    for option in options:
        option_menu['menu'].add_command(label=option, command=tk._setit(var, option))

lbl_col = tk.Label(root, text='Select column:')
lbl_col.pack()

var = tk.StringVar()
option_menu = tk.OptionMenu(root, var, '')
option_menu.pack()

btn_columns = tk.Button(root, text='Get columns', command=get_columns)
btn_columns.pack()

lbl_k = tk.Label(root, text='Enter k value:')
lbl_k.pack()

entry_k = tk.Entry(root)
entry_k.pack()

def k_anonymity():
    global df_k
    column = var.get()
    k = int(entry_k.get())
    df_k = pd.DataFrame(columns=df.columns)
    for i in df[column].unique():
        df_i = df[df[column] == i]
        if len(df_i) >= k:
            df_i[column] = '*'
            df_k = pd.concat([df_k, df_i])
        else:
            df_k = pd.concat([df_k, df_i])
    text.delete('1.0', 'end')
    text.insert('1.0', df_k.head())

btn_k_anonymity = tk.Button(root, text='K-Anonymity', command=k_anonymity)
btn_k_anonymity.pack()

def save_file():
    filename = tk.filedialog.asksaveasfilename(defaultextension='.csv')
    df_k.to_csv(filename, index=False)

btn_save = tk.Button(root, text='Save', command=save_file)
btn_save.pack()

def search():
    column = var.get()
    value = entry_search.get()
    df_search = df_k[df_k[column] == value]
    text.delete('1.0', 'end')
    text.insert('1.0', df_search.head())

lbl_search = tk.Label(root, text='Enter value to search:')
lbl_search.pack()

entry_search = tk.Entry(root)
entry_search.pack()

btn_search = tk.Button(root, text='Search', command=search)
btn_search.pack()

root.mainloop()

References:

[1] Anonymization with Python, https://towardsdatascience.com/anonymization-with-python-cd9d1a9ba1a4 [2] k-Anonymity: A Model for Protecting Privacy, https://www.win.tue.nl/~mpechen/publications/pubs/DLV03.pdf [3] Python GUI Programming with Tkinter, https://www.tutorialspoint.com/python/python_gui_programming.htm