Answer:To simplify the discussion, we will only consider two-class classifiers in this section and define a linear classifier as a two-class classifier that decides class membership by comparing a linear combination of the features to a threshold.
Figure 14.8: There are an infinite number of hyperplanes that separate two linearly separable classes.
\includegraphics[width=6cm]{vclassline.eps}
In two dimensions, a linear classifier is a line. Five examples are shown in Figure 14.8 . These lines have the functional form $w_1x_1+w_2x_2=b$. The classification rule of a linear classifier is to assign a document to $c$ if $w_1x_1+w_2x_2>b$ and to $\overline{c}$ if $w_1x_1+w_2x_2\leq b$. Here, $(x_1, x_2)^{T}$ is the two-dimensional vector representation of the document and $(w_1, w_2)^{T}$ is the parameter vector that defines (together with $b$) the decision boundary. An alternative geometric interpretation of a linear classifier is provided in Figure 15.7 (page [*]).
We can generalize this 2D linear classifier to higher dimensions by defining a hyperplane as we did in Equation 140, repeated here as Equation 144:
\begin{displaymath}
\vec{w}^{T}\vec{x} = b
\end{displaymath} (144)
The assignment criterion then is: assign to $c$ if $\vec{w}^{T}\vec{x} > b$ and to $\overline{c}$ if $\vec{w}^{T}\vec{x} \leq b$. We call a hyperplane that we use as a linear classifier a decision hyperplane .
Figure 14.9: Linear classification algorithm.
\begin{figure}\begin{algorithm}{ApplyLinearClassifier}{\vec{w},b,\vec{x}}
score ...
...in{IF}{score>b}
\RETURN{1}
\ELSE
\RETURN{0}
\end{IF}\end{algorithm}
\end{figure}
The corresponding algorithm for linear classification in $M$ dimensions is shown in Figure 14.9 . Linear classification at first seems trivial given the simplicity of this algorithm. However, the difficulty is in training the linear classifier, that is, in determining the parameters $\vec{w}$ and $b$ based on the training set.
Explanation:
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The technology would the business combination with its current cloud operations to make this possible are ERP and loT.
<h3>What is the ERP?</h3>
Enterprise resource planning (ERP) refers to a shape of a software program application that companies use to manipulate each day industrial organization sports activities in conjunction with accounting, procurement, task management, chance manage and compliance, and supply chain operations.
- Given the organization has a cloud setup, we need a company solution (ERP system) which needs to be to be had to all stores and loT to build up facts from devices and deliver it over to the ERP system.
- This will help to connect records at some crucial databases in cloud from all the stores.
- There need to be record protection features as well to maintain the records intact, all profits features need to be incorporated and tested.
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Answer:
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As forensic evidence of suspected intrusions on a host system or network, indicators of compromise (IOCs) are used.
<h3>
What is indicators?</h3>
System administrators and information security (InfoSec) experts can identify malicious activity such as intrusion attempts using these artifacts. IOCs are used by security researchers to more thoroughly examine the methods and behaviour of a certain malware.
IOCs also offer useful threat intelligence that can be disseminated around the community to help organizations develop their incident response and remediation plans.
Some of these artifacts can be seen on the system's event logs, time-stamped entries, apps, and services. Various tools that monitor IOCs are also used by infosec experts and IT/system administrators to help mitigate, if not stop, breaches or assaults.
Therefore, As forensic evidence of suspected intrusions on a host system or network, indicators of compromise (IOCs) are used.
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