Cybersecurity professionals are frequently required to assess the security, risk applications, and systems for business communications before they can be added to an organization's network. CISOs need to assess risks posed to the organization and develop new security measures or adjust current measures to address these risks appropriately. These evaluations involve comparing competing applications or systems against the organization's baseline to determine the best balance between business needs and the security and risk appetite of the organization. Videoconferencing and collaboration systems vary in cost, configuration, functionality, use, and collaboration capability. These systems are trusted to facilitate sensitive and proprietary discussions through their use of encrypted communication channels. Yet these systems have vulnerabilities and are prone to threats and attacks ranging from phishing, credential compromise, and even malware insertion. Therefore, analysis of possible threats, attacks, and vulnerabilities inherent in these systems is critical in developing defense and protection strategies for voice and video data at all endpoints and during transit. In this project, you will present your proposal in the form of a narrated slide deck. Be sure to refer to Guidelines for Presentation on Secure Videoconferencing.  Step 1: Develop Functional Requirements for Videoconferencing The first step in your proposal for a secure videoconferencing system is to develop a set of functional requirements for videoconferencing that you believe the media company will need based on its geographic dispersion and business needs. In developing those requirements, research three videoconferencing solutions such as Zoom, Skype, GotoMeeting, Polycom, and Cisco WebEx and explain their capabilities, advantages, and disadvantages. Identify costs as well as implementation and support requirements. The functional requirements and the three possible solutions will be a section of your proposal. In the next step, you will review the challenges of implementing those solutions. Step 2: Discuss Implementation Challenges In the previous step, you outlined the requirements for secure videoconferencing for the company and outlined three potential solutions. Part of your final proposal should also include the advantages and disadvantages of the implementation options for the three systems you selected. This section of the proposal also must include the changes the media company will need to make to implement the systems. Additionally, explain how system administration or privileged identity management will operate with these systems. You will also need to examine how data exfiltration will occur with each of the new systems. The changes to the systems and challenges for the implementation of these potential solutions will be an important section of your proposal. In the next step, you will take a closer look at each of the potential videoconferencing vendors. Step 3: Identify Vendor Risks You've finished outlining the pros and cons of three videoconferencing systems. Now, it's time to take a close look at how they serve their clients. This will take some research. Look at the systems' known vulnerabilities and exploits. Examine and explain the past history of each vendor with normal notification timelines, release of patches, or work-arounds (solutions within the system without using a patch). Your goal is to know the timeliness of response with each company in helping customers stay secure. This step will be a section of your proposal. In the next step, you will outline best practices for secure videoconferencing that will be part of your overall proposal. Step 4: Develop Best Practices for Secure Videoconferencing The last few steps have been devoted to analyzing potential videoconferencing solutions. But obtaining a trusted vendor is just part of the security efforts. Another important step is to ensure that users and system administrators conduct the company's videoconferencing in a secure manner. In this step, outline security best practices for videoconferencing that you would like users and systems administrators to follow. Discuss how these best practices will improve security and minimize risks of data exfiltration as well as snooping. This "best practices" section will be part of the overall proposal. Step 6: Submit Your Proposal for Secure Videoconferencing and All Related Materials It's time to prepare your materials on secure videoconferencing for management. Your task is to recommend a system that best meets the business functionality and security requirements of the company. Refer to this guidance on asynchronous presentations and Guidelines for Presentation on Secure Videoconferencing.  for this project are as follows:

This week we focus on the concept of false discovery in data.  After reviewing the article by Naouma (2019), answer the following questions: What is a false discovery rate? Can a false discovery rate be completely avoided?  Explain. What was the outcome of the results of the use case? Reply to at least two classmates’ responses by the date indicated in the Course Calendar. Article for review: Naouma, P. (2019). A comparison of random-field-theory and false-discovery-rate inference results in the analysis of registered one-dimensional biomechanical datasets. PeerJ (San Francisco, CA), 7, e8189–e8189. post from Anil: Question 1: False discovery rate: The expected balance from type I mistakes is called the false discovery rate (FDR). A type I mistake occurs when the null hypothesis is wrongly rejected, resulting in a false positive. The family-wise error rate is firmly identified with the FDR (FWER). The FWER is the shot reaching somewhere around one erroneous resolution (i.e., one Type I Error). To put it another way, it's the probability of making any Type I mistake whatsoever. (False Discovery Rate). The FWER is constrained by the Bonferroni change, which makes preparations for making at least one or multiple false positives. However, this adjustment may be overly rigorous in other fields, resulting in missing findings (Mailman School of Public Health, n.d.). Rather than guarding against making any bogus positive ends, the FDR strategy is an option in contrast to the Bonferroni revision and controls for a low part of fake positives. Thus, factual force is as often as possible upgraded, and type I mistakes are diminished. (Naouma, 2019). Question 2: Can a false discovery rate be completely avoided ? Using a multiple hypothesis correction process like the Bonferroni correction can help reduce the likelihood of any false discovery across all tests, known as the family-wise error rate (FWER). Unfortunately, a well-known disadvantage of the Bonferroni correction and many other FWER control procedures is that they reduce statistical power or the ability to discover genuinely significant phenomena. Furthermore, in interactive data exploration, we must deal with the additional problem that the hypotheses are frequently unknown in advance, making static procedures like the Bonferroni correction ineffective. Question 3: Whats the Outcome of the use case: Data mining's predictive capability has revolutionized the way company plans are designed. You may now foresee the future by understanding the present. These are a portion of the current business' information mining use cases and models: Marketing: Data mining is being utilized to filter through ever-bigger data sets and further develop market division. It is feasible to foresee buyer conduct by dissecting the relationship between measures, for example, clientage to configuration custom-fitted dedication promoting. In advertising, information mining demonstrates which buyers will probably withdraw from assistance, what intrigues them dependent on their ventures, and what ought to be remembered for a mailing rundown to build reaction rates. Banks use information mining to comprehend market hazards better. It is normal to examine exchanges, card exchanges, buying patterns, and customer financial information in FICO scores and intelligent enemy of misrepresentation frameworks. Data mining also enables banks to understand our online tastes and behaviors better to improve the return on their marketing initiatives, analyze sales channel effectiveness, and manage regulatory compliance duties. E-Commerce: Online business organizations utilize data mining to offer strategic pitches and up-sells through their sites. Amazon is perhaps the most notable organization operating information mining strategies to draw in more customers to their eCommerce store. For example, supermarkets use collaborative purchase trends to detect product linkages and determine where they should be placed in the aisles and shelves. Data mining can also decide which deals are most popular with customers or boost sales in the checkout line. Providers of services. Data Mining can be utilized by service providers such as the mobile phone and utility industries to predict why customers quit their organization. They look at billing information, customer support encounters, and complaints to assign a likelihood score to each consumer and offer incentives. post from Harshit: What is a false discovery rate? False discovery data is the ratio of false-positive to total positive results. As per statistics, it is to discover or find out the concept of rate of type 1 errors in null hypothesis testing when performing various comparisons. The proportion of errors committed by false rejecting null hypothesis can be viewed through random variable Q= V/(V+S)- the proportion of the rejected null hypothesis which is rejected in error Can a false discovery rate be avoided entirely? Explain. Yes, a false discovery rate can be avoided altogether. All positives can be treated as false. If the number of false positives is set to 5%, the total positives maybe 5%. This rate can also be higher because, most of the time, estimators neglect some sources. What was the outcome of the results of the use case? According to the use case, the method is used to study, find out, clarify the system needs. It comprises interactions between users and systems related to particular systems and particular goals. It also consists of a document that explains the step taken by the user. Each use case has three essential aspects. An actor can be a group of people or a single person. The goal is considered an outcome of the objective which is to be achieved. The system which talks about process and methods followed to reach the outcome or end goal. It also includes their requirements and their expected behaviors.