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Q1:1. In the fight against the COVID-19 pandemic, a number of measures were taken by all the countries globally. In many of these measures, the latest technological developments played a vital role, for example, in the mobile app 'Ehteraz' in Qatar. Describe any one of the technology-based precautionary measures taken by any one of the countries listed below. Explain how the measure works and the technologies that are used in it.See Answer
Q2:2. What is electronic mail (email)? Briefly explain its origin and list at least 10 features of any one the popular email service (e.g., gmail, rediffmail, yahoo, mail, hotmail, outlook etc.).See Answer
Q3:5. List and explain at least eight different types of trojan. Explain how trojan can affect users and devices.See Answer
Q4:Matrix Multiplication on MapReduce Description The purpose of this project is to develop a MapReduce program on Hadoop to multiply two sparse matrices. Project Description For this project, you are asked to implement matrix multiplication in Map-Reduce. You should modify Multiply.java only. In your Java main program, args [0] is the first input matrix M, args [1] is the second input matrix N, args [2] is the directory name to pass the intermediate results from the first Map-Reduce job to the second, and args [3] is the output directory. All the input and output file formats must be text formats. There are two small sparse matrices in the files M-matrix-small.txt and N-matrix-small.txt for testing in standalone mode. Their matrix multiplication must return the result matrix in solution-small.txt.See Answer
Q5:Project 2: Cloud Cost Analysis-In this project, due in Week 7, you will complete three tasks to outline the potential costs of the agency's Azure cloud pilot. • First, you will use the Azure pricing calculator to find the estimated costs associated with the pilot based on the agency's requirements and specifications You will then use these costs to estimate the costs for the agency to use Azure for one year, using either a pay-as-you-go model or a pay-for-one- year pricing model. . Finally, you will write a cost analysis memo to compare the two pricing options for the CIO. The memo will be two paragraphs long and will include a recommendation.See Answer
Q6:Part 1 First, implement a function that computes the summand (w x - y)x,, and test this function on two examples. Use (Vectors (https://spark.apache.org/docs/latest/api/scala/org/apache/spark/millib/linalg/Vectors$. to create dense vectors w and use (Labeled Point (https://spark.apache.org/docs/latest/api/scala/org/apache/spark/mllib/regression/Labe to create training dataset with 3 features. You can also use (Breeze (https://github.com/scalanlp/breeze)) to do the dot product.See Answer
Q7:Part 2 Implement a function that takes in vector w and an observation's LabeledPoint and returns a (label, prediction) tuple. Note that we can predict by computing the dot product between weights and an observation's features. Test this function on a LabeledPoint RDD.See Answer
Q8:Part 3 Implement a function to compute (RMSE (http://en.wikipedia.org/wiki/Root-mean- square_deviation)) given an RDD of (label, prediction) tuples: RMSE = Test this function on an example RDD. (-30)²See Answer
Q9:Part 4 Implement a gradient descent function for linear regression: Wat was (w/x-Mix) The function will take trainData (RDD of LabeledPoint) as an argument and return a tuple of weights and training errors. Reuse the code that you have written in Part 1 and 2. Initialize the elements of vector w = 0 and a = 1. Update the value of a in th iteration using the formula: Test the function on and example RDD. Run it for 5 iterations and print the results.See Answer
Q10:Part 1 (20 points) First, implement a function that computes the summand (w x - y)x,, and test this function on two examples. Use (Vectors) to create dense vectors w and use (Labeled Point) to create training dataset with 3 features. You can also use (Breeze) to do the dot product.See Answer
Q11:Part 2 (20 points) Implement a function that takes in vector w and an observation's Labeled Point and returns a (label, prediction) tuple. Note that we can predict by computing the dot product between weights and an observation's features. Test this function on a Labeled Point RDD.See Answer
Q12:Part 3 (20 points) Implement a function to compute (RMSE) given an RDD of (label, prediction) tuples: Test this function on an example RDD. RMSE = 1 n n i=1 (Yi - y)²See Answer
Q13:Part 4 (40 points) Implement a gradient descent function for linear regression: W₁+1 = Wi - ai The function will take trainData (RDD of Labeled Point) as an argument and return a tuple of weights and training errors. Reuse the code that you have written in Part 1 and 2. Initialize the elements of vector w = 0 and a = 1. Update the value of a in ith iteration using the formula: α₂ = Σ(w.x; - u;)x; Test the function on and example RDD. Run it for 5 iterations and print the results. QSee Answer
Q14:Bonus (20 points) Implement the closed form solution: You can assume X is a (DenseMarix). = (X¹X)¯¹x¹y W =See Answer
Q15: In this project you will implement gradient descent for linear regression on Spark using Scala. The gradient descent update for linear regression is: Wi+1 = Wi · αἱ Σ(wx; - yj)x; - Part 1 (20 points) First, implement a function that computes the summand (w¹x - y)x,, and test this function on two examples. Use (Vectors) to create dense vectors w and use (Labeled Point) to create training dataset with 3 features. You can also use (Breeze) to do the dot product. Part 2 (20 points) Implement a function that takes in vector w and an observation's Labeled Point and returns a (label, prediction) tuple. Note that we can predict by computing the dot product between weights and an observation's features. Test this function on a Labeled Point RDD. Part 3 (20 points) Implement a function to compute (RMSE) given an RDD of (label, prediction) tuples: Test this function on an example RDD. RMSE = -18 n Σ(vi - 1/2 i=1 Part 4 (40 points) Implement a gradient descent function for linear regression: The function will take trainData (RDD of Labeled Point) as an argument and return a tuple of weights and training errors. Reuse the code that you have written in Part 1 and 2. Initialize the elements of vector w = 0 and a = 1. Update the value of a in ith iteration using the formula: Wi+1 = Wi-ai (w/ x; -yj)xj Bonus (20 points) Implement the closed form solution: Test the function on and example RDD. Run it for 5 iterations and print the results. You can assume X is a (DenseMarix). α₂ = α n√i. w = (x¹x)¯¹x²See Answer
Q16:Total 2600 words and the details as below ** it is technical report, please using report format!! Part A ( 1300 words) ** 6 reference within 5 years google scholar) ** need intext reference Scenario: In your class, the teaching about Firewall and its working procedures. Now, assume that you have joined the industry as a network security expert after completing this unit. You need to expand your knowledge by upskilling and researching related content/materials from online and other relevant sources. TaskA.1:(Critical Analysis) ** please draft or draw a diagram to answer part of your answer In that role, your manager asked you to develop a plan for implementing and configuring "a virtual firewall for the public cloud". As a part of this plan, you need to write a report where you will explore the benefits of adopting virtual firewall for cloud computing, virtual firewall types, horizon scanning of this technology considering industry standard tools and present a case study describing the merits and/or weaknesses, other aspects (if you want to add any). TaskA.2: (Knowledge Reflection) In that role, you have also heard that your business is interested about implementing the emerging "zero trust (ZTA) security architecture (https://www.microsoft.com/en-au/security/business/zero- trust)". While you are giving a plan on virtual firewall implementation for your business, some people think that ZTA and Firewalls cannot work together whereas others think that they are complementary! How you will put your logic/argument and explanation from a security expert's point of view to provide "critical" insights with proper reasoning and logics and address this issue. Part B (1300 words)** 6 reference within 5 years(google scholar)** need intext reference Scenario: In your class, the teaching you about IDS and loT Networks, Protocols, etc., assume that you have joined a consultancy firm as a security architect after completing this unit. You need to expand your knowledge by upskilling and researching related content/materials from online and other relevant sources. Task B.1: (Critical Analysis) **please draft or draw a diagram to answer part of your answer In that role, your manager asked you to develop a white paper explaining the concept "Intrusion Detection System for Industrial Internet of Things (IoT) within Smart Grid". The white paper will inform readers concisely about your proposed concept and present your philosophy on the matter. The report will include: A proposed architecture for IDS considering an IoT environment within smart grid. Illustrate the architecture and its different component, how the data flow will occur, what features are used for IDS, How IDS will safeguard the network, other security aspects. Task B.2: (Knowledge Reflection) Suppose as a security architect, you are heavily dealing with IDS for Internet networks. However, the concept of the convergence of information technology (IT) and operation technology (OT) is new to you (and of course to many of your colleagues). However, your manager wants you to cover why IDS for Smart Grid-IoT systems is different compared to typical network/nand possible solu Hints Part A1 Section 1 (Introduction) • Explain the importance of cloud security and the need for virtual firewalls • Briefly outline what the report will cover Section 2 (Benefits of Adopting Virtual Firewall for Cloud Computing) • Discuss the advantages of using virtual firewalls in a cloud computing environment • Highlight how virtual firewalls enhance security, scalability, and flexibility Section 3( Virtual Firewall Types) • Describe different types of virtual firewalls available for cloud environments Differentiate between host-based, network-based, and cloud-native virtual firewalls Section 4(Industry Standard Tools) • Discuss industry-standard tools and solutions for implementing virtual firewalls • Provide insights into emerging technologies and best practices Section 5 (Case Study) • Present a real-world case study of an organization that implementing virtual firewalls in their public cloud infrastructure • Discuss any additional aspects that were considered during the implementation Part A2 Section 1 (Introduction) • Provide an overview of the report's purpose and scope • Explain the relevance and importance of discussing the integration of ZTA and firewalls Section 2( Understanding Zero Trust(ZTA) Security Architecture) Define and explain the core principled and concepts of Zero Trust security Discuss the objectives and benefits of implementing ZTA in your context Section 3 (the role Firewalls in Security) • Describe the traditional role of firewalls in network security in your case • Highlight the strengths and limitations of firewalls in a dynamic threat environment relevant to your caseSee Answer
Q17:Description The purpose of this project is to develop a graph analysis program using Map-Reduce. This project must be done individually. No copying is permitted. Note: We will use a system for detecting software plagiarism, called Moss (http://theory.stanford.edu/-aiken/moss/), which is an automatic system for determining the similarity of programs. That is, your program will be compared with the programs of the other students in class as well as with the programs submitted in previous years. This program will find similarities even if you rename variables, move code, change code structure, etc.See Answer
Q18:The purpose of this project is to develop a graph analysis program using Map-Reduce. This project must be done individually. No copying is permitted. Note: We will use a system for detecting software plagiarism, called Moss (http://theory.stanford.edu/~aiken/moss/), which is an automatic system for determining the similarity of programs. That is, your program will be compared with the programs of the other students in class as well as with the programs submitted in previous years. This program will find similarities even if you rename variables, move code, change code structure, etc. Note that, if you use a Search Engine to find similar programs on the web, we will find these programs too. So don't do it because you will get caught and you will get an F in the course (this is cheating). Don't look for code to use for your project on the web or from other students (current or past). Don't use ChatGPT or any other Al program to generate code. Just do your project alone using the help given in this project description and from your instructor and GTA only.See Answer
Q19:What to Submit Submit the zipped project5 directory, which must contain the files: project5/src/main/scala/Graph.scala project5/graph.local.out project5/graph.distr.outSee Answer
Q20:to KFC 3/48. 5.3 List some commonly used cloud-based data services. Explore and compare these services based on their use of encryption, flexibility, efficiency, speed, and ease of use. Study security breaches on these services in recent past. What changes were made by the services after these attacks?See Answer

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