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NEW QUESTION: 1
Which of the following is NOT a known type of Message Authentication Code (MAC)?
A. Universal Hashing Based MAC (UMAC)
B. Signature-based MAC (SMAC)
C. DES-CBC
D. Keyed-hash message authentication code (HMAC)
Answer: B
Explanation:
There is no such thing as a Signature-Based MAC. Being the wrong choice in the list, it is the best answer to this question.
WHAT IS A Message Authentication Code (MAC)? In Cryptography, a MAC (Message Authentication Code) also known as a cryptographic checksum, is a small block of data that is generated using a secret key and then appended to the
message. When the message is received, the recipient can generate their own MAC using the
secret key, and thereby know that the message has not changed either accidentally or
intentionally in transit. Of course, this assurance is only as strong as the trust that the two parties
have that no one else has access to the secret key.
A MAC is a small representation of a message and has the following characteristics:
A MAC is much smaller than the message generating it.
Given a MAC, it is impractical to compute the message that generated it.
Given a MAC and the message that generated it, it is impractical to find another message
generating the same MAC.
See the graphic below from Wikipedia showing the creation of a MAC value:
Message Authentication Code MAC HMAC
In the example above, the sender of a message runs it through a MAC algorithm to produce a MAC data tag. The message and the MAC tag are then sent to the receiver. The receiver in turn runs the message portion of the transmission through the same MAC algorithm using the same key, producing a second MAC data tag. The receiver then compares the first MAC tag received in the transmission to the second generated MAC tag. If they are identical, the receiver can safely assume that the integrity of the message was not compromised, and the message was not altered or tampered with during transmission.
However, to allow the receiver to be able to detect replay attacks, the message itself must contain data that assures that this same message can only be sent once (e.g. time stamp, sequence
number or use of a one-time MAC). Otherwise an attacker could - without even understanding its
content - record this message and play it back at a later time, producing the same result as the
original sender.
NOTE: There are many ways of producing a MAC value. Below you have a short list of some
implementation.
The following were incorrect answers for this question:
They were all incorrect answers because they are all real type of MAC implementation.
In the case of DES-CBC, a MAC is generated using the DES algorithm in CBC mode, and the
secret DES key is shared by the sender and the receiver. The MAC is actually just the last block of
ciphertext generated by the algorithm. This block of data (64 bits) is attached to the unencrypted
message and transmitted to the far end. All previous blocks of encrypted data are discarded to
prevent any attack on the MAC itself. The receiver can just generate his own MAC using the
secret DES key he shares to ensure message integrity and authentication. He knows that the
message has not changed because the chaining function of CBC would significantly alter the last
block of data if any bit had changed anywhere in the message. He knows the source of the
message (authentication) because only one other person holds the secret key.
A Keyed-hash message authentication code (HMAC) is a specific construction for calculating a
message authentication code (MAC) involving a cryptographic hash function in combination with a
secret cryptographic key. As with any MAC, it may be used to simultaneously verify both the data
integrity and the authentication of a message. Any cryptographic hash function, such as MD5,
SHA-1, may be used in the calculation of an HMAC; the resulting MAC algorithm is termed HMAC-
MD5 or HMAC-SHA1 accordingly. The cryptographic strength of the HMAC depends upon the
cryptographic strength of the underlying hash function, the size of its hash output, and on the size
and quality of the key.
A message authentication code based on universal hashing, or UMAC, is a type of message
authentication code (MAC) calculated choosing a hash function from a class of hash functions
according to some secret (random) process and applying it to the message. The resulting digest or
fingerprint is then encrypted to hide the identity of the hash function used. As with any MAC, it may
be used to simultaneously verify both the data integrity and the authenticity of a message. UMAC
is specified in RFC 4418, it has provable cryptographic strength and is usually a lot less
computationally intensive than other MACs.
What is the MicMac (confusion) with MIC and MAC?
The term message integrity code (MIC) is frequently substituted for the term MAC, especially in
communications, where the acronym MAC traditionally stands for Media Access Control when
referring to Networking. However, some authors use MIC as a distinctly different term from a MAC;
in their usage of the term the MIC operation does not use secret keys. This lack of security means that any MIC intended for use gauging message integrity should be encrypted or otherwise be protected against tampering. MIC algorithms are created such that a given message will always produce the same MIC assuming the same algorithm is used to generate both. Conversely, MAC algorithms are designed to produce matching MACs only if the same message, secret key and initialization vector are input to the same algorithm. MICs do not use secret keys and, when taken on their own, are therefore a much less reliable gauge of message integrity than MACs. Because MACs use secret keys, they do not necessarily need to be encrypted to provide the same level of assurance.
Reference(s) used for this question: Hernandez CISSP, Steven (2012-12-21). Official (ISC)2 Guide to the CISSP CBK, Third Edition ((ISC)2 Press) (Kindle Locations 15799-15815). Auerbach Publications. Kindle Edition. and http://en.wikipedia.org/wiki/Message_authentication_code and http://tools.ietf.org/html/rfc4418
NEW QUESTION: 2
SG Products will go live tomorrow. The client has just done a stock count and presents the numbers to the implementation consultant. The stock is managed with the moving average valuation method.
What is a best practice to ensure that the initial stock quantity is correctly valued in the new SAP Business One system?
Please choose the correct answer.
Response:
A. Enter the quantities from the stock count using the actual purchase price.
B. Enter the initial quantities from the stock count but do not enter a price.
C. Enter the quantities from the stock count using the last average price.
D. Enter the initial stock quantities from the stock count using the last purchase price as the item cost.
Answer: C
NEW QUESTION: 3
You have a Microsoft Azure SQL Database. You enable Query Store for the database and configure the store to use the following settings:
SIZE_BASE_CLEANUP_MODE= OFF
STATE_QUERY_THRESHOLD_DAYS =60
MAX_STORAGE_SIZE= 100
QURRY_CAPTURE _MODE =ALL
You use Azure performance insight to receive queries. You observer that new queries are not displayed after
15 days and that the QUEY Store us set to read-only mode.
If the Query Store runs low on data pace, the store must prioritize queries from the regularly or queries that consume significant resources.
You set the Query Store to read_write mode and determine the performance of queries from the past 60 days.
Which three statements should you perform? Each correct step presents part of the solution.
NOTE: Each selection is worth one point.
A. Set the value of the SIZE_BASE_CLEANUP_MODE settings to AUTO.
B. Set the value of the QUERY_CAPTUE_MODE setting to AUTO.
C. Set the value of the CLEANUO_POLICY setting to (STALE_QUERY_THRESHOLD=75)
D. In the Azure portal navigate to Query performance insight. Use the Custom tab to select a period of 2 months.
E. Increase the value for the MAX_STORAGE_size _MB setting.
Answer: B,C,E
Explanation:
Explanation
B: Capture mode:
All - Captures all queries. This is the default option.
Auto - Infrequent queries and queries with insignificant cost are ignored. (Ad hoc recommended) None - Query Store stops capturing new queries.
C: Max Size (MB): Specifies the limit for the data space that Query Store can consume within the database.
This is the most important setting that directly affects operation mode of the Query Store.
While Query Store collects queries, execution plans and statistics, its size in the database grows until this limit is reached. When that happens, Query Store automatically changes the operation mode to read-only and stops collecting new data. You should monitor this closely to make sure you have sized the store appropriately to contain the full history you'd like to retain.
D: Size Based Cleanup Mode: Specifies whether automatic data cleanup will take place when Query Store data size approaches the limit.
It is strongly recommended to activate size-based cleanup to makes sure that Query Store always runs in read-write mode and collects the latest data.
References:
https://docs.microsoft.com/en-us/sql/relational-databases/performance/best-practice-with-the-query-store