Windows Server hardening involves identifying and remediating security vulnerabilities. Here are the top Windows Server hardening best practices you can implement immediately to reduce the risk of attackers compromising your critical systems and data.Your task is to identify all the hardening processes / methods / procedures / controls / best practices / techniques under each category. Research the Internet, assemble resources and literature, and fill in the following categories:Organizational SecurityExample: Maintain an inventory record for each server that clearly documents its baseline configuration and records each change to the server.Windows Server PreparationExample: Set a BIOS/firmware password to prevent unauthorized changes to the server startup settings.Windows Server InstallationExample: Use the Security Configuration Wizard to create a system configuration based on the specific role that is needed.User Account Security HardeningExample: Disable the guest account.Network Security ConfigurationExample: Perform port blocking at the network setting level. Perform an analysis to determine which ports need to be open and restrict access to all other ports.Registry Security ConfigurationExample: Configure registry permissions. Protect the registry from anonymous access. Disallow remote registry access if not required.General Security SettingsExample: Remove unneeded Windows components. Any unnecessary Windows components should be removed from critical systems to keep the servers in a secure state.Audit Policy SettingsExample: Enable Audit policy according to audit policy best practices.Software Security GuideExample: Install and enable anti-spyware software. Configure it to update daily.Audit Policy Best PracticesExample: Determine which types of events you want to audit from the list below, and specify the settings for each one. The settings you specify constitute your audit policy. Note that some event types are audited by default.Types of events you can auditExample: Account logon. User logon auditing is the only way to detect all unauthorized attempts to log in to a domain. It is necessary to audit logon events — both successful and failed — to detect intrusion attempts . Logoff events are not tracked on the domain controllers.Recommended Audit Policy settingsExample: Audit Security Group Management: Success and FailureBest practices for auditingExample: Before you implement any audit processes, you should determine how you will collect, store and analyze the data. There is little value in amassing large volumes of audit data if there is no underlying plan to manage and use it.

Think about a recent order (pizza, book, clothes, etc) you made online or over the phone. Describe the processes used in taking an order, filling the order, and receiving payment. Create a flowchart showing the steps used, Then, create a second flowchart indicating where you would recommend improvements to the processes and why. Ensure you submit your main post on time and respond to at least one other student's post. Visit the forum several times within the week to read and/or contribute to ongoing discussions.

Option #1: Northwind Data Mining and Statistical Analysis Project – PlanningThe objective of this Portfolio Project is mining data from a data warehouse, which contains data from the Northwind database that was constructed during your installation of PostgreSQL.Below are the summarized tasks for this Portfolio Project.Data Warehouse:Create a data warehouse database, including the fact and dimension tables (star schema).Create the schema for each table.Populate the tables using either ETL (Pentaho) or SQL (PostgreSQL).Preprocessing for SAS:Extract data from the data warehouse, creating a file for input into SAS. The format of the file is your choice. Ensure SAS University Edition accepts your selected format.Statistical Analysis Using SAS:Import data created in the preprocessing step.Conduct statistical analysis using the appropriate statistics from each category:Summary statisticsClassificationClusteringAssociationPrepare an analysis report.Using your plan prepared in Module 3, Milestone 1, and leveraging the data warehouse and preprocessing steps in Module 6, Milestone 2, complete the tasks under Statistical Analysis Using SAS.Your analysis report must include:An analysis of each variable in the data setAn analysis to determine which variables could serve as appropriate classifier variablesAn analysis to determine if any variables are candidates for clusteringAn analysis to determine if any variables have associationsAny tables, histograms, or scatterplot graphs necessary to support your analysesA recommendation as to the suitability of this data set for meeting your organization’s business goalYour project must meet the following requirements:Be 6-8 pages in length, not including the cover and references pages.Follow the CSU-Global Guide to Writing & APA (Links to an external site.). Your paper should include an introduction, a body with at least four fully developed paragraphs, and a conclusion.Be clearly and well written using excellent grammar and style techniques. Be concise and logical. You are being graded, in part, on the quality of your writing. If you need assistance with your writing style, you can find many writing resources in the CSU-Global Writing Center (Links to an external site.).Be supported with at least three peer-reviewed, scholarly references, and one citation from the course textbooks. You may also include references from credible sources in print and from the Internet. The CSU-Global Library (Links to an external site.) is a great place to find these resources.This ties the other two assignments together. I can provide the other two assignments here to help.