Reference no: EM132671928

Brief summary of the assignment

The scope of this project is to develop a threat alert engine for cyber threats and provide actionable data to the end users and should interface with an existing application that delivers threat alerts to clients based on location and maps each threat to a severity level. All management, development and testing of the software will be handled by the developers and not by the client.

Questions

How do we determine the location of the threat?
1) Explain natural language processing (NLP) (brief)
2) Explain how NLP can connect a threat (signal) to a location
3) Create an NLP pipeline model

How do we determine the impact of threat to the end user?

1) Create or reference a threat matrix that we can use to assess the potential impact of the threat
: e.g. sources such as the ACSC have their own threat matrix, no need for us to put their information through our own matrix

2) Explain the criteria that makes up the matrix (if high severity is 1000 people affected, why is it 1000? Etc)

3) Explain parameter mapping with Gaussian (normal) distribution (brief)
: Once the signals (threats) have been collected in a particular location, the signals need to be converted from text into a more usable form <- parameter mapping

4) How do we determine event probability with the Gaussian distribution model?

5) Create a gaussian normal distribution model