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NEW QUESTION: 1
Which key agreement scheme uses implicit signatures ?
A. DH
B. MQV
C. ECC
D. RSA
Answer: B
Explanation:
MQV (Menezes-Qu-Vanstone) is an authenticated protocol for key agreement based on the Diffie-Hellman scheme. Like other authenticated Diffie-Hellman schemes, MQV provides protection against an active attacker. The protocol can be modified to work in an arbitrary finite group, and, in particular, elliptic curve groups, where it is known as elliptic curve MQV (ECMQV).
Both parties in the exchange calculate an implicit signature using its own private key and the other's public key.
The following answers are incorrect:
DH is not the correct choice Diffie-Hellman key exchange (D-H) is a specific method of exchanging keys. It is one of the earliest practical examples of Key exchange implemented within the field of cryptography. The Diffie-Hellman key exchange method allows two parties that have no prior knowledge of each other to jointly establish a shared secret key over an insecure communications channel. This key can then be used to encrypt subsequent communications using a symmetric key cipher. It is a type of key exchange.
Synonyms of Diffie-Hellman key exchange include: Diffie-Hellman key agreement Diffie-Hellman key establishment Diffie-Hellman key negotiation Exponential key exchange Diffie-Hellman protocol Diffie-Hellman handshake
The scheme was first published by Whitfield Diffie and Martin Hellman in 1976, although it later emerged that it had been separately invented a few years earlier within GCHQ, the British signals intelligence agency, by Malcolm J. Williamson but was kept classified. In 2002, Hellman suggested the algorithm be called Diffie-Hellman-Merkle key exchange in recognition of Ralph Merkle's contribution to the invention of public-key cryptography (Hellman, 2002).
ECC is not the correct choice
Public-key cryptography is based on the intractability of certain mathematical problems. Early public-key systems, such as the RSA algorithm, are secure assuming that it is difficult to factor a large integer composed of two or more large prime factors. For elliptic-curve-based protocols, it is assumed that finding the discrete logarithm of a random elliptic curve element with respect to a publicly-known base point is infeasible. The size of the elliptic curve determines the difficulty of the problem. It is believed that the same level of security afforded by an RSA-based system with a large modulus can be achieved with a much smaller elliptic curve group. Using a small group reduces storage and transmission requirements.
Elliptic curve cryptography (ECC) is an approach to public-key cryptography based on the algebraic structure of elliptic curves over finite fields. The use of elliptic curves in cryptography was suggested independently by Neal Koblitz and Victor S. Miller in 1985.
RSA is not the correct answer
In cryptography, RSA (which stands for Rivest, Shamir and Adleman who first publicly described it) is an algorithm for public-key cryptography. It is the first algorithm known to be suitable for signing as well as encryption, and was one of the first great advances in public key cryptography. RSA is widely used in electronic commerce protocols, and is believed to be secure given sufficiently long keys and the use of up-to-date implementations.
The following reference(s) were/was used to create this question: ISC2 review book version 8 page 15 also see: http://en.wikipedia.org/wiki/MQV http://en.wikipedia.org/wiki/Elliptic_curve_cryptography http://en.wikipedia.org/wiki/RSA
NEW QUESTION: 2
Business units within an organization are resistant to proposed changes to the information security program.
Which of the following is the BEST way to address this issue?
A. Implementing additional security awareness training
B. Communicating critical risk assessment results to business unit managers
C. Publishing updated information security policies
D. Including business unit representation on the security steering committee
Answer: B
NEW QUESTION: 3
An organization uses a custom map reduce application to build monthly reports based on many small data files in an Amazon S3 bucket. The data is submitted from various business units on a frequent but unpredictable schedule. As the dataset continues to grow, it becomes increasingly difficult to process all of the data in one day. The organization has scaled up its Amazon EMR cluster, but other optimizations could improve performance.
The organization needs to improve performance minimal changes to existing processes and applications.
What action should the organization take?
A. Schedule a daily AWS Data Pipeline process that aggregates content into larger files using S3DistCp.
B. Use Amazon S3 Event Notifications and AWS Lambda to create a quick search file index in DynamoDB.
C. Use Amazon S3 Event Notifications and AWS Lambda to index each file into an Amazon Elasticsearch Service cluster.
D. Have business units submit data via Amazon Kinesis Firehose to aggregate data hourly into Amazon S3.
E. Add Spark to the Amazon EMR cluster and utilize Resilient Distributed Datasets in-memory.
Answer: B
NEW QUESTION: 4
CUSTOMERSテーブルのCUST_NAME列のデータを調べます。
姓がMcまたはMCで始まるCUST_NAME値を表示するとします。
必要な結果を与える2つのWHERE句はどれですか。
A. WHERE UPPER (SUBSTR (cust_name, INSTR(cust_name, '')+1)) LIKE UPPER ('MC%')
B. WHERE INITCAP (SUBSTR (cust_name, INSTR(cust_name, '')+1)) LIKE 'Mc%'
C. WHERE SUBSTR (cust_name, INSTR (cust_name, '') +1) LIKE 'Mc%' OR 'MC%'
D. WHERE SUBSTR (cust_name, INSTR (cust_name, '') +1) LIKE 'Mc%'
E. WHERE INITCAP (SUBSTR (cust_name, INSTR(cust_name, '')+1)) IN ('MC%', 'Mc%)
Answer: D