MANAGEMENT OF INFO.SECURITY-W/ACCESS
MANAGEMENT OF INFO.SECURITY-W/ACCESS
5th Edition
ISBN: 9781337195706
Author: WHITMAN
Publisher: CENGAGE L
bartleby

Concept explainers

Question
Book Icon
Chapter 10, Problem 1E
Program Plan Intro

Disaster recovery:

  • Disaster Recovery Plan (DRP) is a set of procedures to recover and protect a business Information Technology (IT) infrastructure in the occurrence of a disaster.
  • It allows an organization to maintain or quickly resume mission-critical function following a disaster.

Business continuity:

  • Business Continuity Plan (BCP) is a strategy to support the business processes to continue during a time of emergency or disaster.
  • It minimizes the downtime and data loss.
  • Companies become increasingly reliant on technology to do business.
  • Companies place more emphasis on IT and communication services.

Explanation of Solution

Companies do not differentiate between the disaster recovery and business continuity:

  • Many organizations, typically, do not differentiate between the terms disaster recovery and business continuity.
    • Because this can be qualified to the fact that disaster recovery planning is a component of business continuity plan...

Blurred answer
Students have asked these similar questions
[5 marks] Give a recursive definition for the language anb2n where n = 1, 2, 3, ... over the alphabet Ó={a, b}. 2) [12 marks] Consider the following languages over the alphabet ƒ={a ,b}, (i) The language of all words that begin and end an a (ii) The language where every a in a word is immediately followed by at least one b. (a) Express each as a Regular Expression (b) Draw an FA for each language (c) For Language (i), draw a TG using at most 3 states (d) For Language (ii), construct a CFG.
Question 1 Generate a random sample of standard lognormal data (rlnorm()) for sample size n = 100. Construct histogram estimates of density for this sample using Sturges’ Rule, Scott’s Normal Reference Rule, and the FD Rule. Question 2 Construct a frequency polygon density estimate for the sample in Question 1, using bin width determined by Sturges’ Rule.
Generate a random sample of standard lognormal data (rlnorm()) for sample size n = 100. Construct histogram estimates of density for this sample using Sturges’ Rule, Scott’s Normal Reference Rule, and the FD Rule.
Knowledge Booster
Background pattern image
Computer Science
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, computer-science and related others by exploring similar questions and additional content below.
Similar questions
SEE MORE QUESTIONS
Recommended textbooks for you
Text book image
CMPTR
Computer Science
ISBN:9781337681872
Author:PINARD
Publisher:Cengage
Text book image
Management Of Information Security
Computer Science
ISBN:9781337405713
Author:WHITMAN, Michael.
Publisher:Cengage Learning,
Text book image
Enhanced Discovering Computers 2017 (Shelly Cashm...
Computer Science
ISBN:9781305657458
Author:Misty E. Vermaat, Susan L. Sebok, Steven M. Freund, Mark Frydenberg, Jennifer T. Campbell
Publisher:Cengage Learning
Text book image
Principles of Information Systems (MindTap Course...
Computer Science
ISBN:9781285867168
Author:Ralph Stair, George Reynolds
Publisher:Cengage Learning
Text book image
Principles of Information Systems (MindTap Course...
Computer Science
ISBN:9781305971776
Author:Ralph Stair, George Reynolds
Publisher:Cengage Learning
Text book image
Database Systems: Design, Implementation, & Manag...
Computer Science
ISBN:9781305627482
Author:Carlos Coronel, Steven Morris
Publisher:Cengage Learning