Understanding Password Entropy and Logarithmic Functions
Password entropy measures the unpredictability of a password, with higher entropy indicating stronger security. The relationship between password entropy (P, in bits) and the number of guesses (G) required to decode the password is modeled by the logarithmic function:
[ 0.46P = \log_{10}(G) ]
Calculating Password Entropy for Given Guesses
- Given 5,000 guesses (G = 5000), substitute into the equation: [ 0.46P = \log_{10}(5000) ]
- Using a calculator, ( \log_{10}(5000) \approx 3.699 ), so: [ P = \frac{3.699}{0.46} \approx 8.04 \text{ bits} ]
Converting Logarithmic to Exponential Form
- The inverse of ( \log_{10}(x) = c ) is ( x = 10^c ).
- Rearranging the original equation: [ G = 10^{0.46P} ]
Example: Number of Guesses for a Password with 28 Bits Entropy
- Substitute ( P = 28 ): [ G = 10^{0.46 \times 28} = 10^{12.88} \approx 2.33 \times 10^{12} ]
- This means approximately 2.33 trillion guesses are needed to decode such a password.
Interpretation of the Coordinate (P=0, G=1)
- When password entropy ( P = 0 ), only one guess is needed to decode the password (( G = 1 )), indicating a very weak password.
Modeling Star Brightness and Magnitude
The magnitude ( M ) of a star relative to a reference star of magnitude 1 is given by:
[ M = 1 - 2.5 \log_{10}(B) ]
where ( B ) is the brightness relative to the reference star.
Calculating Magnitude of Star Acub
- Given brightness ( B = 0.525 ), substitute: [ M = 1 - 2.5 \log_{10}(0.525) ]
- Using a calculator, ( \log_{10}(0.525) \approx -0.280 ), so: [ M = 1 - 2.5 \times (-0.280) = 1 + 0.7 = 1.7 ]
- The magnitude of Acub is approximately 1.7.
Finding Brightness of Star Sirius with Magnitude 7
- Given ( M = 7 ), solve for ( B ): [ 7 = 1 - 2.5 \log_{10}(B) ] [ 2.5 \log_{10}(B) = 1 - 7 = -6 ] [ \log_{10}(B) = -\frac{6}{2.5} = -2.4 ] [ B = 10^{-2.4} \approx 0.00398 ]
Comparing Brightness of Acub and Sirius
- Brightness of Acub: 0.525
- Brightness of Sirius: 0.00398
- Ratio: [ \frac{0.525}{0.00398} \approx 132 ]
- Acub is approximately 132 times brighter than Sirius.
Key Takeaways
- Logarithmic functions effectively model complex relationships like password security and star brightness.
- Password entropy directly influences the difficulty of guessing passwords exponentially.
- Star magnitude scales logarithmically with brightness, allowing comparison of stellar brightness.
- Understanding these functions aids in practical calculations for cybersecurity and astronomy.
For a deeper understanding of the concepts discussed, you may find the following resources helpful:
this video is about application of logarithm functions password entropy is a matter of predictability of a computer
password the higher the entropy the more difficult it is to guess the password the relationship between the password
and p p measured in bits and the number of gesses G required to decode the password is given by this
function calculate the value of P for a password that takes 5,000 guesses to decode 5,000 guesses let's go back to
this uh function G is number of gases p
is the relationship between the password entropy so this 5,000 guesses is G then we do the
substitution for this equation 0.46 P equals log base 10 of 5,000 by
solver control menu clear the history let's type the equation first log you will do control 10 to the X
power base is 10 of 5, then control menu enter enter enter
M series 9.1 at a 36 fix P equal 9.11 B write down G as a function of for
p in other words you need to change this uh log into exponential function we do know the inverse function of for
logarithm function is the exponential function so what we have log base 10 of x = c we
will put a base 10 both sides then we can cancel we got x = 10 to the 6
power another logarithm function we will use a lot is a natural
log natural log of x = d we do know natural log of x equals log
base e of X so we will add e as base both sides x = e to the this power for this
function 0.4 6 P = log base 10 of G we will
add 10 as the base both sides then cancel we got g equals 10 to the
0.406 P power this is the function we are looking for four let's go to say find the number of gases required to
decode a password that has an entropy of 28 bits which means the p = 28 write your answer in the form of
this since uh we already got the function for G we will just uh plug in p = 28 into this
function so we got G = 10 to the 0.46 time 28 power equals 10 to the
0.46 times the 28 enter
2.33 * 10 to the 11 power if you are not sure this equation is right or wrong you
can directly use this function we will substitute p = 28 into this original function we got
0.46 * 28 equals common log base 10 of
G first of all we need to type in the equation control 10 to the X power to get log base 10 of G
control menu enter enter enter you could have see domain error in
this case you need to put value for lower Bond and a upper Bond go up
enter delete extra stuff only leave the equation control
menu lower we will put in zero upper let's do 10 to the 100 power just put the big number here then enter enter
we got the solution 2.33 * 10 to the 11 Power by solver G = 2.33 * 10 to the 11 power let's go to
last one there is a point on the graph of a function G of p with the coordinates Z one so P equal zero and
gals 1 explain what this coordinate values mean in the context of the computer
passwords p is password entropy D is the number of guesses to decode the password when you answer this
question you have to write down the entropy is zero and a number of guesses is one to decode the password
when entropy of the password is zero only one guess can decode the password which means your password is very weaks
are classified by their brightness the brightest stars in the sky have a magnitude of one the magnitude M of
another star can be modeled as a function of its brightness B relative to a star of magnitude one as shown by the
following equations the star called acub has a brightness of
0.525 find the magnitude of acant we know b means the brightness m is the
magnitude we are given brightness 0.05 to 5 which means b equal 0.05
to5 so you need to do the substitution m = 1 -
2.5 log base 10 of 0.525 go to calculator 4.20 as a 36 f
or you can write down the whole thing put the dot dot dot as a full answer m equals
4.2 Series has a magnitude of 4 S and is the least bright star visible without magnification find the brightness of
series magnitude of seven means this m equals 7 so we will substitute M = 7 into this
function we will get 7 = 1 - 2.5 log base 10 of for B let's go to solver control menu clear the history
seven = 1 - 2.5 * control 10 to the X power let's go to
log base 10 of b control menu enter enter enter we won't get this
uh answer this said domain error for the log we know this B must be positive number let's retype for this equation
control menu enter enter make sure for log equation for lower Bond you always put the zero
for upper Bond you can put the 10 to the 100 power enter we got the solution b equals
0. 3981 dot dot dot or 0.398 let's go to see find how many
times brighter acant is compared to series how many
times means we need to do the division the brightness of acant is given 0.05
to five the brightness of series is here 0.398 control divide
0.525 over try to put accurate answer we will do 0.3 981
from previous calculation enter
13.2 as a 3 Sig fix answer is 13.2
Heads up!
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