7.18 Intrusion detection systems. The Journal of Research of the National Institute of Standards and Technology (November- December 2003) published a study of a computer intrusion detection system (IDS). The IDS is designed to provide an alarm whenever unauthorized access (e.g., an intrusion) to a computer system occurs. The probability of the system giving a false alarm (i.e., providing a warning when no in- trusion occurs) is defined by the symbol a, while the prob- ability of a missed detection (i.e., no warning given when an intrusion occurs) is defined by the symbol ß. These symbols are used to represent Type I and Type II error rates, respec- tively, in a hypothesis-testing scenario. a. What is the null hypothesis, Ho? b. What is the alternative hypothesis, Ha? c. According to actual data collected by the Massachusetts Institute of Technology Lincoln Laboratory, only 1 in 1,000 computer sessions with no intrusions resulted in a false alarm. For the same system, the laboratory found that only 500 of 1,000 intrusions were actually detected. Use this information to estimate the values of a and B.
7.18 Intrusion detection systems. The Journal of Research of the National Institute of Standards and Technology (November- December 2003) published a study of a computer intrusion detection system (IDS). The IDS is designed to provide an alarm whenever unauthorized access (e.g., an intrusion) to a computer system occurs. The probability of the system giving a false alarm (i.e., providing a warning when no in- trusion occurs) is defined by the symbol a, while the prob- ability of a missed detection (i.e., no warning given when an intrusion occurs) is defined by the symbol ß. These symbols are used to represent Type I and Type II error rates, respec- tively, in a hypothesis-testing scenario. a. What is the null hypothesis, Ho? b. What is the alternative hypothesis, Ha? c. According to actual data collected by the Massachusetts Institute of Technology Lincoln Laboratory, only 1 in 1,000 computer sessions with no intrusions resulted in a false alarm. For the same system, the laboratory found that only 500 of 1,000 intrusions were actually detected. Use this information to estimate the values of a and B.
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Transcribed Image Text:7.18 Intrusion detection systems. The Journal of Research of the
National Institute of Standards and Technology (November-
December 2003) published a study of a computer intrusion
detection system (IDS). The IDS is designed to provide an
alarm whenever unauthorized access (e.g., an intrusion) to
a computer system occurs. The probability of the system
giving a false alarm (i.e., providing a warning when no in-
trusion occurs) is defined by the symbol a, while the prob-
ability of a missed detection (i.e., no warning given when an
intrusion occurs) is defined by the symbol 3. These symbols
are used to represent Type I and Type II error rates, respec-
tively, in a hypothesis-testing scenario.
a. What is the null hypothesis, Ho?
b. What is the alternative hypothesis, Ha?
c. According to actual data collected by the Massachusetts
Institute of Technology Lincoln Laboratory, only 1 in
1,000 computer sessions with no intrusions resulted in a
false alarm. For the same system, the laboratory found
that only 500 of 1,000 intrusions were actually detected.
Use this information to estimate the values of a and ß.
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