San Jose State University Limited Meaningful Data Collection Questions
UMGC Consumer Tech and Cyber Risks Discussion
For this week’s discussion, you will be writing a blog posting (similar to a newsletter article) in which you present an analysis and summary of news reports about recent attacks against smart devices used by individual consumers (not businesses). Your audience for this blog posting is customers of a local consumer-facing company that provides in-home security check-ups for IoT devices and home networking.
1. Find three or more news articles about cyber attacks (hacking) against smart devices used in homes. Your articles should discuss at least three different applications of “smart” technologies (e.g. smart assistants, smart appliances, utility monitoring devices, thermostats, device status panels, etc.).
2. Analyze the news articles for common themes, e.g. vulnerable devices, types of attacks, who the attackers are, what is at risk for consumers, how to fix / remove vulnerabilities to protect users and their property.
4. Using your research and analysis, write a blog posting which informs consumers about these technologies and the associated cyber risks. Include explanations as to how consumers can protect themselves and their homes from attacks against these types of devices.
CS 468 Colorado Technical University Online Scrum Paper
Assignment Details:
You recently started working as the product owner and Scrum master
for a large mortgage company. Your company has received data about
California housing in a comma-separated values (CSV) file. The following
are the data columns:
Use the data from this source (ensure that you use the data source “housing.csv”).
The project will be completed using the agile development Scrum
methodology. Your manager wants you to build the analytics that
will predict the housing prices based on the data. You need to complete
the following tasks:
For help in completing this assignment, review the following resource:
San Jose State University Machine Learning Algorithms for Cyber Threats Paper
Instructions:
1
Use suitable content names Like Introduction, Theoretical framework, existing work, future scope, research findings, etc
2
Everything should be cited from provided references only.1.
3
Be sure you know that you must keep your literature in line with your theoretical framework. When conducting literature reviews. You must review one at a time. Then, document the next review, one author at a time.
3.
Use Grammarly and APA format only
References
1
Alkahtani, H., & Aldhyani, T. H. H. (2021). Intrusion Detection System to Advance Internet of
Things Infrastructure-Based Deep Learning Algorithms. Complexity (New York, N.Y.),
2021. https://doi.org/10.1155/2021/5579851
2
Al-Mhiqani, M. N., Ahmad, R., Zainal Abidin, Z., Yassin, W., Hassan, A., Abdulkareem, K. H., Ali, N. S., & Yunos, Z. (2020). A Review of Insider Threat Detection: Classification, Machine Learning Techniques, Datasets, Open Challenges, and Recommendations. Applied Sciences, 10(15), 5208–. https://doi.org/10.3390/app10155208
3
Aravindan, C., Frederick, T., Hemamalini, V., & Cathirine, M. V. J. (2020). An Extensive Research on Cyber Threats using Learning Algorithm. 2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE), 1–8. https://doi.org/10.1109/ic-ETITE47903.2020.337
4
Bilen, A., & Özer, A. B. (2021). Cyber-attack method and perpetrator prediction using machine learning algorithms. PeerJ. Computer Science, 7, e475–e475. https://doi.org/10.7717/peerj-cs.475
5
Laghrissi, F., Douzi, S., Douzi, K., & Hssina, B. (2021). Intrusion detection systems using long
short-term memory (LSTM). Journal of Big Data, 8(1), 1–16. https://doi.org/10.1186/s40537-021-00448-4
6
Wani, A., S, R., & Khaliq, R. (2021). SDN?based intrusion detection system for IoT using deep
learning classifier (IDSIoT?SDL). CAAI Transactions on Intelligence Technology.
https://doi.org/10.1049/cit2.12003
7
Hammad, M., Hewahi, N., & Elmedany, W. (2021). T?SNERF: A novel high accuracy machine
learning approach for Intrusion Detection Systems. IET Information Security, 15(2),
178–190. https://doi.org/10.1049/ise2.12020
8
Rincy N, T., & Gupta, R. (2021). Design and Development of an Efficient Network Intrusion
Detection System Using Machine Learning Techniques. Wireless Communications and Mobile Computing, 2021, 1–35. https://doi.org/10.1155/2021/9974270
9
Sabir, B., Ullah, F., Babar, M. A., & Gaire, R. (2021). Machine Learning for Detecting Data
Exfiltration: A Review. ACM Computing Surveys, 54(3), 1–47.
https://doi.org/10.1145/3442181
10
Slayton, R. (2021). Governing Uncertainty or Uncertain Governance? Information Security and
the Challenge of Cutting Ties. Science, Technology, & Human Values, 46(1), 81–111. https://doi.org/10.1177/0162243919901159
11
Yeboah-Ofori, A., Islam, S., Lee, S. W., Shamszaman, Z. U., Muhammad, K., Altaf, M., & Al-
Rakhami, M. S. (2021). Cyber Threat Predictive Analytics for Improving Cyber Supply
Chain Security. IEEE Access, 1–1. https://doi.org/10.1109/ACCESS.2021.3087109
Jawaharlal Nehru Technological University Benefits of Identity as a Service Discussion
I’m trying to study for my Computer Science course and I need some help to understand this question.
Discussion: Identity as a Service (IDaaS)
IDaaS is a cloud-based identity and access control service. An organization can outsource some or all of its access control implementation to an IDaaS provider.
Answer the following question(s):
1. What are two pros to using IDaaS?
2. What are two cons to using IDaaS?
Fully address the questions in this discussion; provide valid rationale or a citation for your choices;
Initial post should be at least 500 words in length.
JNTU NA14 Plagiarism Checkers Using Data Mining Presentation
Topic : Plagiarism Checker for Assignments Using DATA MINING
1) Submit a brief abstract describing your final project. 150-200 words
2)Submit final project materials. Word document 20 Pages APA Format , double spaced, written in APA format, showing sources and a bibliography
3) 15 slides ppt
The topic should apply data mining techniques to real-world problems. If required, data and software for these projects can be obtained from various Internet sites, or developed by students.
Sample project ideas include but not limited to the following: Customer segmentation, Predictive model for customer retention, Customer churn in a specific retail area, mining of web logs and fraud detection.
Project guidelines:
General guidelines for a final paper include, but are not limited to, a choice of a relevant topic, gathering bibliographic sources, whether in print or on the web, and providing status reports as the project goes. What makes a topic relevant is, first of all, it’s data mining context. The research is not expected to be 100% original, interesting problems and good results may be found in literature. But it is important to present them from a data mining standpoint.
A successful student paper would contain a short abstract and an introduction, where the choice of topic, approach and main results are briefly presented. It should also have one or more chapters in the body of the paper, where the problem is clearly stated and methods to solve it are discussed. In these main chapters a student should demonstrate an understanding of the goals and techniques and clearly show a value of data mining approach to solving the problem. Results can be presented here, too. Research results are briefly listed again in a ‘Conclusions’ chapter, that could also discuss challenges and future development, if applicable. An optional ‘Acknowledgements’ section may be added, if desired, to thank those who contributed via discussions, consultations, etc. ‘References’ section would contain a bibliography and conclude the paper.
University of Cumberlands Computer Science Discussion Questions
I’m working on a computer science question and need support to help me understand better.
This discussion topic is to be reflective of the course material. Therefore, use your own words to respond to the following questions:
HSCI 391 CSU Northridge Study Habits Simple Microsoft Word Document Formatting
VERY SIMPLE MICROSOFT WORD ASSIGNMENT, YOU HAVE TO FORMAT THE GIVEN DOCUMENT BELOW.
To get some practice with Microsoft Word, you will be taking recreating this document.(it will look clearer than this in your final version). You will use the features that were discussed in this week’s lecture to ensure that you understand how to use them. This exercise will also help you get ready to do the resume/cover letter/reference page assignment for this week. While I am available to help you learn the features, you must demonstrate that you have attempted to figure out the feature before I provide guidance.
Here are some steps to help you: Here’s the document to start with. (it has all the text available for you). Here is a tip sheet for page 1. Here is a tip sheet for page 2. Here is a tip sheet for page 3. Here is a tip sheet for the table of contents.
Be sure to fill in any text that is in red font color with your own words. Also, change the font color back to the color black. Your entire document should be in black font color when you submit.
NEC Common Weakness Enumeration & Policy Legal Ethics and CMPLC Papers
Hello , pls answer below 2 questions in a saperate WORD Doc
Course: Building Sec web Aplctns:
Write a brief overview of their scoring system.Pick one of common weaknesses identified on their site and describe it. Your assignment should be 200-300 of your own words. add 2-3 references at end
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Course: Policy, Legal, Ethics Cmplc :
1) Answer each these questions in a paragraph with at least five sentences: Include the question and number your responses accordingly. Provide a citation for each answer.
1. What is privacy?
2. What risks, if any, does facial recognition software raise?
3. How much information about you can be found on-line with a simple google search?
4. How much information about you can be found by searching government and commercial databases?
5. Describe informed consent.
6. Should secondary use of consumer provided data be available without notice to the consumer?
7. How do data mining and predictive analytics work?
8. Watch this Science Friday video by Ira Flatow. And, offer your opinion – Are advancing algorithms taking our free will?
9. Should Facebook be regulated, at least as far as it’s privacy and data policies?
10. How many public cameras is too many?
