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1. |
What is the purpose of an intrusion detection system
(IDS)?
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To prevent unauthorized access to network resources
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To prevent users from accessing network resources
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To detect intrusions on the network
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To detect security flaws |
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2. |
What are the three phases of an attack?
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Reconnaissance, Attack, DoS
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DoS, Objective, Attack
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Attack, Reconnaissance, DoS
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Objective, Reconnaissance, Attack |
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3. |
What are the three types of attacks?
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Attack, Reconnaissance, data manipulation
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DoS, Reconnaissance, Access
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Objective, Reconnaissance, Access
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Objective, Reconnaissance, Attack |
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4. |
What is the difference between host-based and network-based
intrusion detection?
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Host-based systems detect attacks on the hosts and
network-based systems don’t
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Network-based systems detect attacks against the IDS and
host-based systems only detect attacks against the host
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Host-based IDSs only determine if an attack was
successful
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Network-based IDSs rely on the use of network probes, while
host-based systems rely on software installed on each host |
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5. |
What are the four types of security threats?
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Internal, external, secured, nonsecured
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External, Structured-internal, Unstructured-external,
Internal
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Internal, Structured, Unstructured, External
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Internal-structured, External-structured,
Internal-structured, Internal-unstructured |
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6. |
What is a false negative?
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Results when an attack or an intrusion goes undetected
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An alert sent to an incorrect management station
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Results when the IDS system reports an alarm, although an
actual intrusion doesn’t occur on the network
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There is no such thing as a false negative |
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7. |
What type of triggering mechanism is most likely to create a
false negative?
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Anomaly detection
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Misuse detection
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Profile based
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Network based |
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8. |
What is a false positive?
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A false positive results when an attack or intrusion causes
an alarm to be generated
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A false positive is an alert sent to an incorrect management
station
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A false positive results when the IDS system reports an
alarm, although no actual intrusion occurs on the network
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There is no such thing as a false
positive |
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9. |
What type of triggering mechanism is most likely to create a
false positive?
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Anomaly detection
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Misuse detection
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Network based
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Host based |
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10. |
Which of the following is a limitation to host-based
intrusion detection?
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Unable to detect attacks launched from the system
console
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Unable to detect attacks launched against the host from the
network
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Unable to detect attacks against the host from multiple
locations
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Unable to detect reconnaissance attacks |
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11. |
Which of the following is a benefit of host-based intrusion
detection?
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Easier to manage
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Can detect if an attack is successful
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Detect more intrusions
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Administrators have a higher degree of confidence in
host-based IDSs |
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12. |
Which of the following is a limitation of network-based
intrusion detection?
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Can only detect attacks performed over the network
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Can only detect attacks against the network
infrastructure
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Can’t detect new attack methods
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Easy to manipulate
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13. |
Which of the following is a benefit of network-based
intrusion detection?
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Can determine if an attack was successful
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Have a lower occurrence of false positives
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Have a higher occurrence of false negatives
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Have a complete view of network traffic |
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14. |
What are the two types of triggering mechanisms used by an
IDS?
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Network based and host based
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Misuse and anomaly detection
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Signature and misuse detection
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Anomaly and profile-based detection |
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15. |
What is the difference between anomaly detection and misuse
detection?
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Anomaly detection uses profiles, while misuse detection uses
signatures
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Misuse detection uses profiles, while anomaly uses
signatures
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Anomaly detection uses network-based, while misuse detection
uses host based
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No difference exists between misuse detection and anomaly
detection |
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16. |
In the context of an IDS, what is an anomaly?
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A normal traffic pattern
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Any computer activity that matches a user profile
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Any traffic or activity that isn’t normal
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Any traffic pattern or activity that matches a signature in
the signature database |
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17. |
What is a signature and what is it used for?
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A definition of intrusive activity and is used to build user
profiles
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A definition of intrusive activity and is used to detect
intrusions
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A definition of normal activity and is used to distinguish
normal activity from intrusive activity
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A set of rules describing intrusive activity and is used to
build rule-based profiles |
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18. |
What are the three ways to build user profiles?
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Signatures, neural networks, rule based
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Rule based, neural networks, statistical sampling
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Host statistical sampling, network statistical sampling,
neural networks
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Signatures, statistical sampling, neural
networks |
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19. |
Which of the following is a benefit of misuse detection?
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Lower occurrence of false negatives
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Easier to install and understand
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Can detect new attack methods
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Can be used for both network based and host based |
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20. |
Which of the following is a benefit of anomaly
detection?
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Easier to understand
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Easier to configure
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Can be used to prevent intrusions
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Can be used to detect new attack methods |
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21. |
What is a major drawback to misuse detection?
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Unable to detect new attack methods
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Hard to understand and configure
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Results in too many false positives
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Can only be used with host-based IDSs |
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22. |
What is a major drawback to anomaly detection?
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Results in a high number of false negatives
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Hackers are aware of what activity will generate an
alert
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Relies on a defined profile defining normal activity
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Has no major drawbacks |