Paillier_stats_on_g Namespace Reference

Functions
	avg_curve_mod_k_by_r_value (t_pix_enc, vector_r_values, n, size_vec_r, p, q)
	According to r value.
	avg_curve_mod_k_by_r_value_inv (t_pix_enc, vector_r_values, n, size_vec_r, p, q)
	This function calculates and plots the average curve of encrypted pixels modulo k by r value for inverse encryption.
	avg_curve_mod_k_by_pixel_value (t_pix_enc, vector_r_values, n, size_vec_r, p, q, inverse, g)
	According to initial pixel value.
	avg_curve_mod_2_by_pixel_value (t_pix_enc, vector_r_values, n, size_vec_r, title)
	According to initial pixel value with differents modulo.
	avg_curve_mod_4_by_pixel_value (t_pix_enc, vector_r_values, n, size_vec_r, title)
	This function calculates and plots the average curve of encrypted pixels modulo 4 by pixel value.
	avg_curve_mod_k_by_pixel_value_in_common (t_pix_enc, t_pix_inv_enc, vector_r_values, n, size_vec_r, p, q, g)
	According to initial pixel value, with different modulo, with common values where there is no r value for modulo k = 0.
	traiterResultats (f_pix, p, q)
	This function processes the results and plots various curves.
	main ()
	The main function that processes all result files in a directory.

Variables
	f_pix = open(f_pix, "r")
	Initialisation, get data.
int	p = 13
int	q = 19
	lines_pix = f_pix.readlines()
list	t_pix_avg = []
list	count_pix = []
	g = int(lines_pix[0])
	n = int(lines_pix[1])
	size_vec_r = int(lines_pix[2])
list	vector_r_values = []
list	t_pix_enc = []
int	line_index = 3
	r_value = np.uint64(lines_pix[line_index].strip())
list	t_pix_enc_row = []
	pix_value = np.uint16(lines_pix[line_index].strip())
list	t_pix_enc_inv = []
	Curves.
list	t_pix_enc_inv_row = []
	x = np.invert(np.array(t_pix_enc[i][j], dtype=np.uint16))

Function Documentation

avg_curve_mod_2_by_pixel_value()

Paillier_stats_on_g.avg_curve_mod_2_by_pixel_value	(		t_pix_enc,
			vector_r_values,
			n,
			size_vec_r,
			title )

According to initial pixel value with differents modulo.

This function calculates and plots the average curve of encrypted pixels modulo 2 by pixel value.

Parameters

t_pix_enc	A 2D list containing encrypted pixel values.
vector_r_values	A list containing r values.
n	The number of pixels.
size_vec_r	The size of the r value vector.
title	The title of the plot.

Author

Katia Auxilien

Date

April 2024

avg_curve_mod_4_by_pixel_value()

Paillier_stats_on_g.avg_curve_mod_4_by_pixel_value	(		t_pix_enc,
			vector_r_values,
			n,
			size_vec_r,
			title )

This function calculates and plots the average curve of encrypted pixels modulo 4 by pixel value.

Parameters

t_pix_enc	A 2D list containing encrypted pixel values.
vector_r_values	A list containing r values.
n	The number of pixels.
size_vec_r	The size of the r value vector.
title	The title of the plot.

Author

Katia Auxilien

Date

April 2024

avg_curve_mod_k_by_pixel_value()

Paillier_stats_on_g.avg_curve_mod_k_by_pixel_value	(		t_pix_enc,
			vector_r_values,
			n,
			size_vec_r,
			p,
			q,
			inverse,
			g )

According to initial pixel value.

This function calculates and plots the average curve of encrypted pixels modulo k by pixel value.

Parameters

t_pix_enc	A 2D list containing encrypted pixel values.
vector_r_values	A list containing r values.
n	The number of pixels.
size_vec_r	The size of the r value vector.
p	A prime number used in Paillier encryption.
q	Another prime number used in Paillier encryption.
inverse	A boolean value indicating whether to use inverse encryption or not.
g	A value used in Paillier encryption.

Author

Katia Auxilien

Date

April 2024

avg_curve_mod_k_by_pixel_value_in_common()

Paillier_stats_on_g.avg_curve_mod_k_by_pixel_value_in_common	(		t_pix_enc,
			t_pix_inv_enc,
			vector_r_values,
			n,
			size_vec_r,
			p,
			q,
			g )

According to initial pixel value, with different modulo, with common values where there is no r value for modulo k = 0.

This function calculates and plots the average curve of encrypted pixels modulo k by pixel value for common values.

Parameters

t_pix_enc	A 2D list containing encrypted pixel values.
t_pix_inv_enc	A 2D list containing inversely encrypted pixel values.
vector_r_values	A list containing r values.
n	The number of pixels.
size_vec_r	The size of the r value vector.
p	A prime number used in Paillier encryption.
q	Another prime number used in Paillier encryption.
g	A value used in Paillier encryption.

Author

Katia Auxilien

Date

April 2024

avg_curve_mod_k_by_r_value()

Paillier_stats_on_g.avg_curve_mod_k_by_r_value	(		t_pix_enc,
			vector_r_values,
			n,
			size_vec_r,
			p,
			q )

According to r value.

This function calculates and plots the average curve of encrypted pixels modulo k by r value.

Parameters

t_pix_enc	A 2D list containing encrypted pixel values.
vector_r_values	A list containing r values.
n	The number of pixels.
size_vec_r	The size of the r value vector.
p	A prime number used in Paillier encryption.
q	Another prime number used in Paillier encryption.

Author

Katia Auxilien

Date

April 2024

avg_curve_mod_k_by_r_value_inv()

Paillier_stats_on_g.avg_curve_mod_k_by_r_value_inv	(		t_pix_enc,
			vector_r_values,
			n,
			size_vec_r,
			p,
			q )

This function calculates and plots the average curve of encrypted pixels modulo k by r value for inverse encryption.

Parameters

t_pix_enc	A 2D list containing encrypted pixel values.
vector_r_values	A list containing r values.
n	The number of pixels.
size_vec_r	The size of the r value vector.
p	A prime number used in Paillier encryption.
q	Another prime number used in Paillier encryption.

Author

Katia Auxilien

Date

April 2024

main()

Paillier_stats_on_g.main

(

)

The main function that processes all result files in a directory.

Author

Katia Auxilien

Date

April 2024

traiterResultats()

Paillier_stats_on_g.traiterResultats	(		f_pix,
			p,
			q )

This function processes the results and plots various curves.

Parameters

f_pix	The file containing pixel data.
p	A prime number used in Paillier encryption.
q	Another prime number used in Paillier encryption.

Author

Katia Auxilien

Date

April 2024

Variable Documentation

count_pix

list Paillier_stats_on_g.count_pix = []

f_pix

Paillier_stats_on_g.f_pix = open(f_pix, "r")

Initialisation, get data.

g

Paillier_stats_on_g.g = int(lines_pix[0])

line_index

int Paillier_stats_on_g.line_index = 3

lines_pix

Paillier_stats_on_g.lines_pix = f_pix.readlines()

n

Paillier_stats_on_g.n = int(lines_pix[1])

p

int Paillier_stats_on_g.p = 13

pix_value

Paillier_stats_on_g.pix_value = np.uint16(lines_pix[line_index].strip())

q

int Paillier_stats_on_g.q = 19

r_value

Paillier_stats_on_g.r_value = np.uint64(lines_pix[line_index].strip())

size_vec_r

Paillier_stats_on_g.size_vec_r = int(lines_pix[2])

t_pix_avg

list Paillier_stats_on_g.t_pix_avg = []

t_pix_enc

list Paillier_stats_on_g.t_pix_enc = []

t_pix_enc_inv

list Paillier_stats_on_g.t_pix_enc_inv = []

Curves.

t_pix_enc_inv_row

list Paillier_stats_on_g.t_pix_enc_inv_row = []

t_pix_enc_row

list Paillier_stats_on_g.t_pix_enc_row = []

vector_r_values

list Paillier_stats_on_g.vector_r_values = []

x

Paillier_stats_on_g.x = np.invert(np.array(t_pix_enc[i][j], dtype=np.uint16))