1) ?For this assignment, review the article:Abomhara, M., & Koien, G.M. (2015). Cyber security and the

1)  For this assignment, review the article:Abomhara, M., & Koien, G.M. (2015). Cyber security and the internet of things: Vulnerabilities, threats, intruders, and attacks. Journal of Cyber Security, 4, 65-88. Doi: 10.13052/jcsm2245-1439.414and evaluate it in 3 pages (800 words), using your own words, by addressing the following:

• What did the authors investigate, and in general how did they do so?
• Identify the hypothesis or question being tested
• Summarize the overall article.
• Identify the conclusions of the authors
• Indicate whether or not you think the data support their conclusions/hypothesis
• Consider alternative explanations for the results
• Provide any additional comments pertaining to other approaches to testing their hypothesis (logical follow-up studies to build on, confirm or refute the conclusions)
• The relevance or importance of the study
• The appropriateness of the experimental design

When you write your evaluation, be brief and concise, this is not meant to be an essay but an objective evaluation that one can read very easily and quickly. Also, you should include a complete reference (title, authors, journal, issue, pages) you turn in your evaluation. This is good practice for your literature review, which you’ll be completing during the dissertation process.Your paper should meet the following requirements:

• Be approximately three pages in length, not including the required cover page and reference page. (Remember, APA is double spaced)
• Follow APA 7 guidelines. Your paper should include an introduction, a body with fully developed content, and a conclusion.
• Support your answers with the readings from the course and at least two scholarly journal articles to support your positions, claims, and observations, in addition to your textbook. The UC Library is a great place to find resources.
• Be clear and well-written, concise, and logical, using excellent grammar and style techniques. You are being graded in part on the quality of your writing.

2)   The recent advances in information and communication technology (ICT) has promoted the evolution of conventional computer-aided manufacturing industry to smart data-driven manufacturing. Data analytics in manufacturing data can provide insights into cost savings and efficiencies, but it can also result in research challenges due to many reasons.  You can address Big Data in support of manufacturing, but any use of data science is acceptable.  You will see the term "smart manufacturing" often applied to this area of research.
For this assignment, you are required to research the benefits as well as the challenges associated with Data Science in support of a manufacturing process.  You can choose any type of product, so please try to focus on a single type of product, not manufacturing in general.  Examples could be automobiles, aircraft, computers, smart phones, heavy equipment, ships.Your paper should meet these requirements:

• Be approximately four to six pages in length, not including the required cover page and reference page.
• Follow APA 7 guidelines. Your paper should include an introduction, a body with fully developed content, and a conclusion.
• Support your answers with the readings from the course and at least two scholarly journal articles to support your positions, claims, and observations, in addition to your textbook. The UC Library is a great place to find resources.
• Be clearly and well-written, concise, and logical, using excellent grammar and style techniques. You are being graded in part on the quality of your writing.

Week 4 Research Paper: Big Data and the Internet of Things

The recent advances in information and communication technology (ICT) has promoted the evolution of conventional computer-aided manufacturing industry to smart data-driven manufacturing. Data analytics in manufacturing data can provide insights into cost savings and efficiencies, but it can also result in research challenges due to many reasons.  You can address Big Data in support of manufacturing, but any use of data science is acceptable.  You will see the term "smart manufacturing" often applied to this area of research.
For this assignment, you are required to research the benefits as well as the challenges associated with Data Science in support of a manufacturing process.  You can choose any type of product, so please try to focus on a single type of product, not manufacturing in general.  Examples could be automobiles, aircraft, computers, smart phones, heavy equipment, ships.Your paper should meet these requirements:

• Be approximately four to six pages in length, not including the required cover page and reference page.
• Follow APA 7 guidelines. Your paper should include an introduction, a body with fully developed content, and a conclusion.
• Support your answers with the readings from the course and at least two scholarly journal articles to support your positions, claims, and observations, in addition to your textbook. The UC Library is a great place to find resources.
• Be clearly and well-written, concise, and logical, using excellent grammar and style techniques. You are being graded in part on the quality of your writing.