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NEW QUESTION: 1
Complete the following sentence. A message can be encrypted, which provides __________ A. Confidentiality
B. Non-Repudiation
C. Authentication
D. Integrity
Answer:
Explanation:
A
Explanation:
Encrypting a message provides only one security service. It is Confidentiality.
You must clearly understand all the available choices within cryptography, because different steps
and algorithms provide different types of security services:
A message can be encrypted, which provides confidentiality.
A message can be hashed, which provides integrity.
A message can be digitally signed, which provides authentication, nonrepudiation, and integrity.
A message can be encrypted and digitally signed , which provides confidentiality, authentication, nonrepudiation, and integrity.
Some algorithms can only perform encryption, whereas others support digital signatures and
encryption.
When hashing is involved, a hashing algorithm is used, not an encryption algorithm. It is important
to understand that not all algorithms can necessarily provide all security services. Most of these
algorithms are used in some type of combination to provide all the necessary security services.
The following answers are incorrect:
Non-Repudiation Regarding digital security, the cryptological meaning and application of non-
repudiation shifts to mean:
A service that provides proof of the integrity and origin of data.
An authentication that can be asserted to be genuine with high assurance.
Proof of data integrity is typically the easiest of these requirements to accomplish. A data hash,
such as SHA2, is usually sufficient to establish that the likelihood of data being undetectably
changed is extremely low. Even with this safeguard, it is still possible to tamper with data in transit,
either through a man-in-the-middle attack or phishing. Due to this flaw, data integrity is best
asserted when the recipient already possesses the necessary verification information.
The most common method of asserting the digital origin of data is through digital certificates, a
form of public key infrastructure, to which digital signatures belong. Note that the public key
scheme is not used for encryption in this form, confidentiality is not achieved by signing a
message with a private key (since anyone can obtain the public key to reverse the signature).
Verifying the digital origin means that the certified/signed data can be, with reasonable certainty,
trusted to be from somebody who possesses the private key corresponding to the signing certificate. If the key is not properly safeguarded by the original owner, digital forgery can become a major concern.
Authentication (from Greek: ; real or genuine, from authentes; author) is the act of confirming the truth of an attribute of a single piece of data (datum) or entity. In contrast with Identification which refers to the act of stating or otherwise indicating a claim purportedly attesting to a person or thing's identity, Authentication is the process of actually confirming that identity. It might involve confirming the identity of a person by validating their identity documents, verifying the validity of a website with a digital certificate, or ensuring that a product is what its packaging and labeling claim to be. In other words, Authentication often involves verifying the validity of at least one form of identification.
AUTHENTICATION FACTORS The ways in which someone may be authenticated fall into three categories, based on what are known as the factors of authentication: something the user knows, something the user has, and something the user is.
Each authentication factor covers a range of elements used to authenticate or verify a person's identity prior to being granted access, approving a transaction request, signing a document or other work product, granting authority to others, and establishing a chain of authority.
Security research has determined that for a positive authentication, elements from at least two, and preferably all three, factors should be verified. Using two of the three factors is called strong authentication or two factors authentication.
The three factors (classes) and some of elements of each factor are:
the knowledge factors: Something the user knows (e.g., a password, pass phrase, or personal identification number (PIN), challenge response (the user must answer a question), pattern), software token, or phone serving as a software token the ownership factors: Something the user has (e.g., wrist band, ID card, security token, or cell phone with built-in hardware token) the inherence factors: Something the user is or does (e.g., fingerprint, retinal pattern, DNA sequence (there are assorted definitions of what is sufficient), signature, face, voice, unique bioelectric signals, or other biometric identifier).
Integrity Data integrity refers to maintaining and assuring the accuracy and consistency of data over its entire life-cycle, and is a critical aspect to the design, implementation and usage of any system which stores, processes, or retrieves data.
The following reference(s) were/was used to create this question:
Harris, Shon (2012-10-18). CISSP All-in-One Exam Guide, 6th Edition (pp. 829-830). McGraw-Hill
. Kindle Edition.
http://en.wikipedia.org/wiki/Non-repudiation
http://en.wikipedia.org/wiki/Authentication
http://en.wikipedia.org/wiki/Data_integrity

NEW QUESTION: 2
クリーニングが必要な生のデータセットを分析しています。
Azure Machine Learning Studioを使用して、変換と操作を実行する必要があります。
変換を実行するには、正しいモジュールを識別する必要があります。
どのモジュールを選択する必要がありますか？答えるには、適切なモジュールを正しいシナリオにドラッグします。各モジュールは、1回、複数回使用することも、まったく使用しないこともできます。
コンテンツを表示するには、ペイン間で分割バーをドラッグするか、スクロールする必要がある場合があります。
注：それぞれの正しい選択には1ポイントの価値があります。

Answer:
Explanation:

Explanation:
Box 1: Clean Missing Data
Box 2: SMOTE
Use the SMOTE module in Azure Machine Learning Studio to increase the number of underepresented cases in a dataset used for machine learning. SMOTE is a better way of increasing the number of rare cases than simply duplicating existing cases.
Box 3: Convert to Indicator Values
Use the Convert to Indicator Values module in Azure Machine Learning Studio. The purpose of this module is to convert columns that contain categorical values into a series of binary indicator columns that can more easily be used as features in a machine learning model.
Box 4: Remove Duplicate Rows
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/smote
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/convert-to-indicator-values

NEW QUESTION: 3
Which users are members of ADGroup1 and ADGroup2? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/active-directory/users-groups-roles/groups-dynamic-membership#supported-values

NEW QUESTION: 4
Caustic is sometimes added to process streams for ________ or as a reactant.
A. Stability
B. Inhibiting
C. Corrosion control
D. Neutralization
Answer: D

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