IntroSec

Changed inline math to equations.

1 files changed, 22 insertions, 14 deletions

diff --git a/en_GB/Introduction to Information Security/introduction_to_information_security.md b/en_GB/Introduction to Information Security/introduction_to_information_security.md
index 0dbca95..60dfd2a 100644
--- a/en_GB/Introduction to Information Security/introduction_to_information_security.md
+++ b/en_GB/Introduction to Information Security/introduction_to_information_security.md
@@ -123,15 +123,17 @@ $$, $\text{h}$ being a one-way-function, $\text{:}$ being the concatenation oper
 #### False match rate (FMR)
 
 How often is a false match attempt successful, which it should not be? Best case: $\text{FMR} = 0$.
-It can be interpreted as a measure of quality of the specific scheme. The lower the value, the better.
-
-$\text{FMR} = \frac{\text{\# successful false matches}}{\text{\# attempted false matches}}$
+It can be interpreted as a measure of quality of the specific scheme. The lower the value, the better.  
+$$
+\text{FMR} = \frac{\text{\# successful false matches}}{\text{\# attempted false matches}}
+$$
 
 #### False non-match rate (FNMR)
 
-How often is a genuine match attempt rejected, which it should not be? Best case: $\text{FNMR} = 0$.
-
-$\text{FNMR} = \frac{\text{\# rejected genuine matches}}{\text{\# attempted genuine matches}}$
+How often is a genuine match attempt rejected, which it should not be? Best case: $\text{FNMR} = 0$.  
+$$
+\text{FNMR} = \frac{\text{\# rejected genuine matches}}{\text{\# attempted genuine matches}}
+$$
 
 #### Fitting Rate
 
@@ -164,23 +166,29 @@ Frequency of failing to extract a feature of a sample.
 
 #### Failure-To-Acquire Rate (FTA)
 
-Frequency of failing to acquire a biometric feature.
-
-$\text{FTA} = \text{FTC} + \text{FTX} \times (1 - \text{FTC})$
+Frequency of failing to acquire a biometric feature.  
+$$
+\text{FTA} = \text{FTC} + \text{FTX} \times (1 - \text{FTC})
+$$
 
 #### False Accept Rate (FAR)
 
-$\text{FAR} = \text{FMR} \times (1 - \text{FTA})$
+$$
+\text{FAR} = \text{FMR} \times (1 - \text{FTA})
+$$
 
 #### False Reject Rate (FRR)
 
-$\text{FRR} = \text{FTA} + \text{FNMR} \times (1 - \text{FTA})$
+$$
+\text{FRR} = \text{FTA} + \text{FNMR} \times (1 - \text{FTA})
+$$
 
 #### False Positive Identification Rate (FPIR)
 
-Probability of some sample to match at least one of the entries in the database.
-
-$\text{FPIR} = (1 - \text{FTA}) \times (1 - (1 - \text{FMR})^{n})$
+Probability of some sample to match at least one of the entries in the database.  
+$$
+\text{FPIR} = (1 - \text{FTA}) \times (1 - (1 - \text{FMR})^{n})
+$$
 
 #### Biometrics in remote authentication