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Description In your job you are to build the Maryland State Police Vehicle of Interest user interface, your first assignment will be to create a design document for the desktop part of the application. This will be used by users at the headquarters. Make sure to review the Vehicles of InterestIntroduction and requirements document that outlines the major features of the application Vehicles of InterestBackground information. You are employed in the Information Technology department of the Maryland State Police. Your department is working on modernizing law enforcement duties. You have been assigned to a project called Vehicles of Interest (VOI). There are many reasons that law enforcement might be interested in identifying a Maryland registered vehicle. Some of the reasons are: ·Silver Alert – vehicle is associated to….

Provide the main interface and implemented actions where user can select an option from the buttons/menus for manipulating the events including 4. An Info screen where it will ask for read me.

Describe in detail how the attacker made the breach. Specifically, how was the attacker able to get in and out of the system

In this day and age, data breaches have increased in quantity and intensity. Therefore, it is essential that the security professional assess situations which could threaten the security of an organization’s intellectual property. Students will then gain the knowledge, tools, and resources to recognize and mitigate real time attacks.

Research a data breach, ransomware, or data exfiltration attack that has occurred within the last 6 months that successfully compromised an organization. In 500-750 words, address the following:

Describe in detail how the attacker made the breach. Specifically, how was the attacker able to get in and out of the system? What was the threat vector? Explain what the attacker did during the breach. Describe the effects of the attack on the various stakeholders. Be sure to include non-technical….

Demonstrate and compare at least 2 configuration results which may include at least two switches/routers and two PCs on physical networking devices.

There is an organisation which is primarily e-commerce business. It is going through a major transformation because of its expansion. The expansion is due to merger of two smaller businesses to the organisation. Now, the organisation is moving to a new building having about 100 employees. The new building is of three floors. The ground floor is for reception, foyer and warehouse so there is a need of five data points at reception, four in warehouse and two in foyer. The 1st floor consists of five offices and forty open plan office cubicles. The 2nd floor consists of three rooms, each room have four office cubicles, two offices and thirty open plan cubicles. There is also a meeting room at 2nd floor that requires four data points. Each….

outline the rationale, challenges and benefits provided to different businesses by developing enterprise architecture for the specified system.

Assessment 3 Assessment type: Group Project and Written Report Assessment (2.500 words) Purpose: The purpose of this assignment is to provide students with practical experience in working in teams to write a research report to outline the rationale, challenges and benefits provided to different businesses by developing enterprise architecture for the specified system. This assessment contributes to learning outcomes c and d. Value: 30% (Report 25%; Group Work Activity Report 5%) Due date: Week 12 Submission requirements details: All work must be submitted on Moodie by the due date. Reference sources must be cited in the text of the report, and listed appropriately at the end in a reference list using Harvard Anglia referencing style. Assessment topic: Enterprise Systems and Architecture (ESA) design project Task Details: Students are….

Utilise appropriate software environments to develop and integrate code implementations with game assets.

Major Assignment Overview Your task this semester will be to pitch, design and develop a small prototype for an original video game. Your game must not be based on any existing artistic works or media, such as film, television, games, stories, or characters – it should be your own creation. This task is split into three manageable parts and described below in more detail. After reading below, and learning through lectures and labs, if you are still unsure of complexity required, ask your lecturer and look at previous completed parts from past semesters in the “Previous Student Examples” located in the Assessments section of Moodle. Learning Outcomes Assessed The following course learning outcomes are assessed by completing this assessment: • K3. Outline a common games mechanics model; •….

Prove that the hypothesis class of all conjunctions over d variables is PAC learnable and bound its sample complexity.

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1. In this question, we study the hypothesis class of Boolean conjunctions defined as follows. The instance space is X ={0,1}d and the label set is Y ={0,1}. A literal over the variables x1, . . ., xd is a simple Boolean function that takes the form f (x)= xi, for some i ∈ [d], or f (x) = 1−xi for some i ∈ [d]. We use the notation .xi as a shorthand

for 1− xi . A conjunction is any product of literals. In Boolean logic, the product is denoted using the ∧ sign. For example, the function h(x) = x1 · (1− x2) is written as x1 ∧ .x2. We consider the hypothesis class of all conjunctions of literals over the d variables. The empty conjunction is interpreted as the all-positive hypothesis (namely, the function that returns h(x) = 1 for all x). The conjunction x1 ∧ .x1 (and similarly any conjunction involving a literal and its….

Show that for every probability distribution D, the Bayes optimal predictor fD is optimal, in the sense that for every classifier g from X to {0,1}, LD( fD) ≤ LD(g).

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1. Let H be a hypothesis class of binary classifiers. Show that if H is agnostic PAC learnable, then His PAC learnable as well. Furthermore, if A is a successful agnostic PAC learner for H, then A is also a successful PAC learner for H.

2. (*) The Bayes optimal predictor: Show that for every probability distribution D, the Bayes optimal predictor fD is optimal, in the sense that for every classifier g from X to {0,1}, LD( fD) ≤ LD(g).

3. (*) We say that a learning algorithm A is better than B with respect to some probability distribution, D, if

LD(A(S))≤ LD(B(S)) for all samples S ∈ (X ×{0,1})m.We say that a learning algorithm A is better than B, if it is better than B with respect to all probability distributions D over X ×{0,1}.

Prove that for every data-generating distribution D over X × {0,1}, the Bayes optimal predictor has the smallest risk (w.r.t. the loss function _(h, (x, y)) = |h(x)− y|, among all possible label predictors, including probabilistic ones).