Let’s say that we have calculated effectiveness (assuming PD=0,8; PA=0,9; PI=0,6; PN=0,4) and it equals to 0,8 x 0,9 x 0,6 x 0,4 =0,1728.
Remember, the conditional risk formula?
Assuming again, that probability of attack and relative consequences both equal 1,0, conditional risk R= 1,0 x (1 – 0,1728) x 1,0 = 0,8272 ( or we can say that the risk equals 83% if rounded).
Is it a lot? It depends on conversion table we will use to present numerical value as adjectival. And what it is mean?
For example, a conditional risk value of 0,8272 would indicate that risk was at 83%. What this finding would mean is that out of 100 perfectly identical attacks, statistically the adversaries would win 83 of those attacks. Stated differently, a risk value of 0,8272 means the PPS fails 83% of the time and successfully defeats or “neutralizes” the attack only 17% of the time. …show more content…
Avoiding the risk by deciding not to start or continue with the activity that gives rise to the risk
2. Accepting or increasing the risk in order to pursue an
Remember, the conditional risk formula?
Assuming again, that probability of attack and relative consequences both equal 1,0, conditional risk R= 1,0 x (1 – 0,1728) x 1,0 = 0,8272 ( or we can say that the risk equals 83% if rounded).
Is it a lot? It depends on conversion table we will use to present numerical value as adjectival. And what it is mean?
For example, a conditional risk value of 0,8272 would indicate that risk was at 83%. What this finding would mean is that out of 100 perfectly identical attacks, statistically the adversaries would win 83 of those attacks. Stated differently, a risk value of 0,8272 means the PPS fails 83% of the time and successfully defeats or “neutralizes” the attack only 17% of the time. …show more content…
Avoiding the risk by deciding not to start or continue with the activity that gives rise to the risk
2. Accepting or increasing the risk in order to pursue an