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Vulnerability of counting party Web spots. When you subscribe to your Facebook account, you're granted access to further. Then 1 million counting parties (RP) Web spots. Vulnerabilities in this sign-on system may permit a bushwhacker to gain unauthorized access to your profile, allowing the bushwhacker to impersonate you on the RP Web point. Computer and systems Masterminds delved into the vulnerability of counting party Web spots and presented their results at the Proceedings of the 5th AMC Factory on Computers & Communication Security (October 2012). RP Web spots were distributed as Gar莽on- inflow or customer- inflow Web spots. Of the 40 gar莽on- inflow spots studied, 20 were planted to be vulnerable to impersonation attacks. Of the 54 customer-inflow spots examined, 41 were. Plant to be vulnerable to impersonation attacks. Give your opinion on whether a customer- inflow Web point is more likely to be vulnerable to an impersonation attack than a gar莽on- inflow Website. However, how much more likely? If so.

Short Answer

Expert verified

There is 95% confidence that a client-flow website is more likely to be vulnerable to a special attack than a server-flow website is, from 0.067 to 0.451.

Step by step solution

01

Step-by-Step Solution Step 1: Check whether a client-flow website is more likely to an impressive attack than a server-flow site

The sample proportion for the client-flow website is obtained below.

Pc=xcnc=2040=0.5

The sample proportion for the serve-flow website is obtained below.

Ps=xsns=4154=0.759

The weighted average P of Pc and Ps is,

P=xc+xsnc+ns=20+4140+54=6194=0.649

02

State the test hypotheses

Null hypothesis:

H0: PS鈥 Pc= 0

The client-flow website is not more likely to be vulnerable to a special attack than a serve-flow website.

Alternative hypothesis:

Ha= Ps- Pc< 0

The client-flow website is more likely to be vulnerable to a special attack than a serve-flow website.

03

Test statistics

z=p1q1pq[1n1+1n2]=0.50.759(0.649)(10.649)(140+154)=0.25*0.0996=2.60

Thus, the test statistic is -2.60.

04

Critical values

The critical value is obtained below.

Here, the test is two-tailed, and the significance level is 伪 = 0.05.

The confidence coefficient is 0.95.

So,

(1-伪)=0.95

螒=0.05

2= 0.025

From appendix D, table 2, the critical value for the two-tailed test with 伪 = 0.05 isza2(-0.025)= 1.96.

05

Conclusion

Here, the test statistic falls in the rejection region.

So, the null hypothesis was rejected.

06

 Get a 95% confidence interval

Determine how much a client-flow website is more likely to be vulnerable to a special attack than a server-flow website.

=(PsPc)za5ps(1Ps)n5+Pc(1Pc)nc=(0.759-.05)1.960.759(10.759)54+0.5(10.05)40=0.2591.96(0.09817)=0.2590.1924=(0.067,0.451)

So, 95% confidence interval is (0.067,0.451).

07

Final answer

There is 95% confidence that a client-flow website is more likely to be vulnerable to a special attack than a server-flow website is, from 0.067 to 0.451.

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