Discussion and Assignment

 Discussion

 In no less than 250 words, explain what is meant by an IDS and an IPS.  How are they different?  How are they connected to a network?  List a few examples of IDS/IPS tools that are currently on the market.  

Week 11 Assignment

  • 11.1 List and briefly define three classes of intruders.
  • 11.2 What are two common techniques used to protect a password file?
  • 11.3 What are three benefits that can be provided by an intrusion detection system?
  • 11.4 What is the difference between statistical anomaly detection and rule-based intrusion detection?
  • 11.5 What metrics are useful for profile-based intrusion detection?
  • 11.6 What is the difference between rule-based anomaly detection and rule-based penetration identification?
  • 11.7 What is a honeypot?
  • 11.8 What is a salt in the context of UNIX password management?
  • 11.9 List and briefly define four techniques used to avoid guessable passwords.

Discussion

 Do you believe that all data should be encrypted? Many computing professionals think this is a good idea. But a small number of computing experts feel that no data should be encrypted—that all data and software should be openly available to anyone who wants it. Explain your answer (whether you believe all data should or should not be encrypted). 

 

Internet Research – Wk 11

In this module, you learned that random numbers (or, at least, pseudorandom numbers) are essential in cryptography, but it is extremely difficult even for powerful hardware and software to generate them. Go online and conduct research on random number generators. What are the different uses of these tools besides cryptography? How do they work? Explain your answer using your own words in 2-3 paragraphs 

Assignment and Discussion

 

Week 9 – Discussion

In a corporate, networked setting, should end users be allowed to install applications on their company workstations, whether the applications are on a DVD or downloaded from the Internet? Be sure to weigh security against usability. 

 

Internet Research – Wk 9

For this assignment, you are asked to locate any company privacy policy. Some of the more popular ones might include GOOGLE, APPLE, or MICROSOFT, but you may elect to review another agency. In 3- 4 paragraphs, explain what you find to be the most interesting information contained in that privacy policy. At the end of your report, please include a LINK to the policy you have reviewed. 

 

Week 9 Discussion – The Remote Worker

 In no less than 250 words, describe a solution to securely connect a remote worker from their home and connected to the Internet to their company network.  How does this solution work and what is needed on the company network and the remote worker’s network to accomplish your solution?  Respond to two other learners by the end of the week. 

   

Week 9 Assignment

  • 9.1 Give examples of applications of IPsec.
  • 9.2 What services are provided by IPsec?
  • 9.3 What parameters identify an SA and what parameters characterize the nature of a particular SA?
  • 9.4 What is the difference between transport mode and tunnel mode?
  • 9.5 What is a replay attack?
  • 9.6 Why does ESP include a padding field?
  • 9.7 What are the basic approaches to bundling SAs?
  • 9.8 What are the roles of the Oakley key determination protocol and ISAKMP in IPsec?

QUALITATIVE Journal Submit Article Reviews Here

You will review both quantitative and qualitative research.  The topic is up to you as long as you choose a peer-reviewed, academic research piece.  I suggest choosing a topic that is at least in the same family as your expected dissertation topic so that you can start viewing what is out there.  There are no hard word counts or page requirements as long as you cover the basic guidelines.  You must submit original work, however,  and a paper that returns as a large percentage of copy/paste to other sources will not be accepted.  (Safe Assign will be used to track/monitor your submission for plagiarism. Submissions with a Safe Assign match of more than 25% will not be accepted.) 

Please use APA formatting and include the following information:

  • Introduction/Background:  Provide context for the research article.  What led the author(s) to write the piece? What key concepts were explored? Were there weaknesses in prior research that led the author to the current hypothesis or research question?
  • Methodology:  Describe how the data was gathered and analyzed.  What research questions or hypotheses were the researcher trying to explore? What statistical analysis was used?
  • Study Findings and Results:  What were the major findings from the study? Were there any limitations?
  • Conclusions:  Evaluate the article in terms of significance, research methods, readability and the implications of the results.  Does the piece lead into further study? Are there different methods you would have chosen based on what you read? What are the strengths and weaknesses of the article in terms of statistical analysis and application? (This is where a large part of the rubric is covered.) 
  • References   

Practical Connection Assignment (Global Market and Blockchain Technology)

 Course: Global Market and Blockchain Technology

Practical Connection Assignment

At UC, it is a priority that students are provided with strong educational programs and courses that allow them to be servant-leaders in their disciplines and communities, linking research with practice and knowledge with ethical decision-making. This assignment is a written assignment where students will demonstrate how this course research has connected and put into practice within their own career.

Assignment: 
Provide a reflection of at least 500 words (or 2 pages double spaced) of how the knowledge, skills, or theories of this course have been applied, or could be applied, in a practical manner to your current work environment. If you are not currently working, share times when you have or could observe these theories and knowledge could be applied to an employment opportunity in your field of study. 

Requirements:

  • Provide a 500 word (or 2 pages double spaced) minimum reflection.
  • Use of proper APA formatting and citations. If supporting evidence from outside resources is used those must be properly cited.
  • Share a personal connection that identifies specific knowledge and theories from this course.
  • Demonstrate a connection to your current work environment. If you are not employed, demonstrate a connection to your desired work environment. 
  • You should NOT, provide an overview of the assignments assigned in the course. The assignment asks that you reflect how the knowledge and skills obtained through meeting course objectives were applied or could be applied in the workplace. 

Tableau

* This assignment will be saved to your Tableau Public account rather than GitHub. 

* If you haven’t already, be sure to create a Tableau Public account [here](https://public.tableau.com/s/).

* The free tier of Tableau only lets you save to their public server. This means that each time you save your file it will be uploaded to your Tableau Public profile. 

* You are able to load and continue working on the same workbook.

* When you are finished with your assignment, you will turn in the URL to your Tableau Public workbook along with any additional files used for your analysis. 

## Background

![Citi-Bikes](Images/citi-bike-station-bikes.jpg)

Congratulations on your new job! As the new lead analyst for the [New York Citi Bike](https://en.wikipedia.org/wiki/Citi_Bike) Program, you are now responsible for overseeing the largest bike sharing program in the United States. In your new role, you will be expected to generate regular reports for city officials looking to publicize and improve the city program.

Since 2013, the Citi Bike Program has implemented a robust infrastructure for collecting data on the program’s utilization. Through the team’s efforts, each month bike data is collected, organized, and made public on the [Citi Bike Data](https://www.citibikenyc.com/system-data) webpage.

However, while the data has been regularly updated, the team has yet to implement a dashboard or sophisticated reporting process. City officials have a number of questions on the program, so your first task on the job is to build a set of data reports to provide the answers.

## Task

**Your task in this assignment is to aggregate the data found in the Citi Bike Trip History Logs and find two unexpected phenomena.** 

**Design 2-5 visualizations for each discovered phenomena (4-10 total). You may work with a timespan of your choosing. Optionally, you may merge multiple datasets from different periods.** 

**The following are some questions you may wish to tackle. Do not limit yourself to these questions; they are suggestions for a starting point. Be creative!**

* How many trips have been recorded total during the chosen period?

* By what percentage has total ridership grown?

* How has the proportion of short-term customers and annual subscribers changed?

* What are the peak hours in which bikes are used during summer months?

* What are the peak hours in which bikes are used during winter months?

* Today, what are the top 10 stations in the city for starting a journey? (Based on data, why do you hypothesize these are the top locations?)

* Today, what are the top 10 stations in the city for ending a journey? (Based on data, why?)

* Today, what are the bottom 10 stations in the city for starting a journey? (Based on data, why?)

* Today, what are the bottom 10 stations in the city for ending a journey (Based on data, why?)

* Today, what is the gender breakdown of active participants (Male v. Female)?

* How effective has gender outreach been in increasing female ridership over the timespan?

* How does the average trip duration change by age?

* What is the average distance in miles that a bike is ridden?

* Which bikes (by ID) are most likely due for repair or inspection in the timespan?

* How variable is the utilization by bike ID?

**Next, as a chronic over-achiever:**

* Use your visualizations (does not have to be all of them) to design a dashboard for each phenomena.

* The dashboards should be accompanied with an analysis explaining why the phenomena may be occuring. 

**City officials would also like to see one of the following visualizations:**

* **Basic:** A static map that plots all bike stations with a visual indication of the most popular locations to start and end a journey with zip code data overlaid on top.

* **Advanced:** A dynamic map that shows how each station’s popularity changes over time (by month and year). Again, with zip code data overlaid on the map.

* The map you choose should also be accompanied by a write-up unveiling any trends that were noticed during your analysis.

**Finally, create your final presentation**

* Create a Tableau story that brings together the visualizations, requested maps, and dashboards.

* This is what will be presented to the officials, so be sure to make it professional, logical, and visually appealing. 

## Considerations

Remember, the people reading your analysis will **NOT** be data analysts. Your audience will be city officials, public administrators, and heads of New York City departments. Your data and analysis needs to be presented in a way that is focused, concise, easy-to-understand, and visually compelling. Your visualizations should be colorful enough to be included in press releases, and your analysis should be thoughtful enough for dictating programmatic changes. 

## Submission 

Your final submission should include:

* A link to your Tableau Public workbook that includes: 

  * 4-10 Total “Phenomenon” Visualizations 

  * 2 Dashboards

  * 1 City Official Map

  * 1 Story 

* A text or markdown file with your analysis on the phenomenons you uncovered from the data.

## Sharing Your Work

In order to share your work, we are asking that you will save your workbook as a .twbx file so that your TA’s can grade them.

To save your workbook as a .twbx file, you will just need to select “Save As…” from the “File” dropdown. Then, select the .twbx option.

## Assessment

Your final product will be assessed on the following metrics:

* Analytic Rigor

* Readability

* Visual Attraction

## Hints

* You may need to get creative in how you combine each of the CSV files. Don’t just assume Tableau is the right tool for the job. At this point, you have a wealth of technical skills and research abilities. Dig for an approach that works and just go with it.

* Don’t just assume the CSV format hasn’t changed since 2013. Subtle changes to the formats in any of your columns can blockade your analysis. Ensure your data is consistent and clean throughout your analysis. (Hint: Start and End Time change at some point in the history logs).

* Consider building your visualizations with small extracts of the data (i.e. single files) before attempting to import the whole thing. What you will find is that importing all 20+ million records of data will create performance issues quickly. Welcome to “Big Data.”

* While utilizing all of the data may seem like a nice power play, consider the time-course in making your analysis. Is data from 2013 the most relevant for making bike replacement decisions today? Probably not. Don’t let overwhelming data fool you. Ground your analysis in common sense.

* Remember, data alone doesn’t “answer” anything. You will need to accompany your data visualizations with clear and directed answers and analysis.

* As is often the case, your clients are asking for a LOT of answers. Be considerate about their need-to-know and the importance of not “cramming in everything”. Of course, answer each question, but do so in a way that is organized and presentable.

* Since this is a project for the city, spend the appropriate time thinking through decisions on color schemes, fonts, and visual story-telling. The Citi Bike program has a clear visual footprint. As a suggestion, look for ways to have your data visualizations match their aesthetic tones.

* Pay attention to labels. What exactly is “time duration”? What’s the value of “age of birth”? You will almost certainly need calculated fields to get what you need.

* Keep a close eye for obvious outliers or false data. Not everyone who signs up for the program is answering honestly.

* In answering the question of “why” a phenomenon is occurring, consider adding other pieces of information on socioeconomic or other geographic data. Tableau has a map “layer” feature that you may find handy.

* Don’t be afraid to manipulate your data and play with settings in Tableau. Tableau is meant to be explored. We haven’t covered all that you need — so you will need to keep an eye out for new tricks.

* Treat this as a serious endeavor! This is an opportunity to show future employers that you have what it takes to be a top-notch analyst. 

* Good luck!

Flasher Box

  

1) Explain the use of a Flasher Box

2) Why would the investigator be considered with EEPROM?

3) Explain the important points in evaluating dates and times on a device?

· No Plagiarism 

· Each Answer Should be 350 words without References.

  !!! NEED 2  ANSWERS FOR THIS QUESTION WITH 0% PLAGIARISM !!!!