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NEW QUESTION: 1
Which of the following best describes signature-based detection?
A. Compare system activity, looking for events or sets of events that match a predefined pattern of events that describe a known attack.
B. Compare source code, looking for events or sets of events that could cause damage to a system or network.
C. Compare system activity for the behaviour patterns of new attacks.
D. Compare network nodes looking for objects or sets of objects that match a predefined pattern of objects that may describe a known attack.
Answer: A
Explanation:
Misuse detectors compare system activity, looking for events or sets of events that match a predefined pattern of events that describe a known attack. As the patterns corresponding to known attacks are called signatures, misuse detection is sometimes called "signature-based detection."
The most common form of misuse detection used in commercial products specifies each pattern of events corresponding to an attack as a separate signature. However, there are more sophisticated approaches to doing misuse detection (called "state-based" analysis techniques) that can leverage a single signature to detect groups of attacks.
Reference:
Old Document:
BACE, Rebecca & MELL, Peter, NIST Special Publication 800-31 on Intrusion Detection Systems, Page 16.
The publication above has been replaced by 800-94 on page 2-4
The Updated URL is: http://csrc.nist.gov/publications/nistpubs/800-94/SP800-94.pdf

NEW QUESTION: 2

A. Option C
B. Option B
C. Option D
D. Option A
Answer: D
Explanation:
http://www.ciscopress.com/articles/article.asp?p=2137516&seqNum=4

NEW QUESTION: 3
You develop a SQL Server Integration Services (SSIS) package that imports Windows Azure SQL Database data into a data warehouse every night.
The Windows Azure SQL Database data contains many misspellings and variations of abbreviations. To import the data, a developer used the Fuzzy Lookup transformation to choose the closest-matching string from a reference table of allowed values. The number of rows in the reference table is very large.
If no acceptable match is found, the Fuzzy Lookup transformation passes a null value.
The current setting for the Fuzzy Lookup similarity threshold is 0.50.
Many values are incorrectly matched.
You need to ensure that more accurate matches are made by the Fuzzy Lookup transformation without degrading performance.
What should you do?
A. Change the similarity threshold to 0.40.
B. Decrease the maximum number of matches per lookup.
C. Change the similarity threshold to 0.85.
D. Increase the maximum number of matches per lookup.
Answer: C
Explanation:
* Similarity threshold
Set the similarity threshold at the component level by using the slider. The closer the value is to 1, the closer the resemblance of the lookup value to the source value must be to qualify as a match. Increasing the threshold can improve the speed of matching since fewer candidate records need to be considered.