Indicators of compromise enable system administrators and information security professionals to detect intrusion attempts or malicious activities.
Your information is incomplete as the options aren't provided. Therefore, an overview of indicators of compromise will be given.
Indicators of compromise means the pieces of forensic data that are found in files or system log entries to identify malicious activity on a network or system.
Indicators of compromise help IT and information security professionals to detect malware infections, data breaches, etc. Examples of indicators of <em>compromise</em> include log-in red flags, unusual outbound network traffic.
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A.) 1/2
Half the bags are peanuts so you have 1/2 a chance of selecting s peanut.
Answer:
Challenge-Handshake Authentication Protocol (CHAP).
Explanation:
In Computer technology, authentication can be defined as the process of verifying the identity of an individual or electronic device. Authentication work based on the principle (framework) of matching an incoming request from a user or electronic device to a set of uniquely defined credentials.
Basically, authentication ensures a user is truly who he or she claims to be, as well as confirm that an electronic device is valid through the process of verification.
In this scenario, an organization wants to implement a remote dial-in server to ensure that personnel can connect to the organization's network from remote locations. The authentication protocol must include encryption to prevent hackers from accessing the network.
Hence, the protocol which should be used is Challenge-Handshake Authentication Protocol (CHAP).
A Challenge-Handshake Authentication Protocol (CHAP) can be defined as a standard network access control protocol in which a client program dials in to a network access server to receive a random value and identification number that can only be used once.
Answer:
2. A data modelling project using a packaged data model REQUIRES A GREATER SKILL than a project not using a packaged data model.
Explanation:
1a. Review of universal models:
A data model is an abstract model that organizes elements of data and standardizes how they relate to one another and to the properties of real world entities. It has become the standard approach used towards designing databases.
A universal data model is a template data model that can be reused as a starting point or a building block to jump-start development of a data modelling project, industry specific model, logical data models.
1b. Discuss how these are being used more widely today.
*Universal data models helps professional reduce development time, improve consistency and standardization while achieving high quality models.
*Higher quality: just as architects consider blue prints before constructing a building, one should also consider data before building an app. A data model helps define the problem, enabling one to consider different approaches and choose best ones.
*By properly modelling and organization's data, the database designer can eliminate data redundancies (needless repetitions) which are a key source for inaccurate information and ineffective systems.
2. Greater and advanced skills are adequate and required when data modelling project is done using packaged data model while fewer skills are required when data modelling is done without packaged data model.
