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Effects of Trust analysis on pattern Recognition

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Creating a simulation to analyze the Effects of Trust on the Pattern Detection Process. ... Analyze the trust criteria of the sources by pattern matching. ... – PowerPoint PPT presentation

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Title: Effects of Trust analysis on pattern Recognition


1
Effects of Trust analysis on pattern
Recognition Group Members
1. Amritpal Singh
2. Lokesh Madan 3. Mohammad Shakil
4. Nitin Gupta
5. Akash Haswani
Project Guide Vesile Evrim
2
Project Goals
  • Creating a simulation to analyze the Effects of
    Trust on the Pattern Detection Process.
  • To develop more customized results based on
  • - User Type
  • - Event Type
  • Analyze these results to find most trusted ones
    (basically resorting them)

3
Our Approach
  • Setting Goal Taxonomy of the Organization.
  • Categorize the queries and see if they match the
    goals.
  • Write two scenarios that uses the queries and
    goals.
  • Analyze the trust criteria.
  • 1) Context Analysis .
  • 2) Trust Analysis.
  • 3) Ontology Matching .
  • Build or find domain ontology.
  • Create environment for the application.
  • Filter the information using pattern matching.
  • Compare the results with other processes.

4
What we have accomplished .
5
Goal Taxonomy (DHS)
  • Identity validation via data aggregation and name
    recognition.
  • Anticipating attacks and profiling potential
    future perpetrators.
  • The creation of virtual databases of images,
    documents, HTML, files, e-mail, and so on.
  • Visually mapping who knows who and when and
    where have they been in contact.
  • Aggregating, preparing, and mining data remotely
    over networks anywhere in the world.
  • Detecting crimes associated with terrorism, such
    as identity theft, fraud, and money laundering.

6
Scenario
Biological attacks in hospitals followed by
suicide bomber attack.
  • Objective To paralyze the state of Florida and
    have an impact on the entire United States.
  • Strategy To surreptitiously attack a key
    industryhealth careand overtly attack the
    retail industry.
  • Plan Contaminate food at hospitals with
    substance containing smallpox virus. Then cause
    mayhem by detonating explosives.
  • Conclusions Potential to cause USA to rapidly go
    into depression

7
User Types
  • Terrorist groups
  • -- To update about the new groups and their
    strategies
  • Environmentalist
  • -- Effects of those hazards on the environment
    long term or short term effects.
  • Top security professionals
  • -- What kind of attacks they can expect in the
    coming future
  • Psychiatrist
  • -- To read the psychology of terrorism

8
EVENT TYPES
  • Chemical Attack
  • Homeland Defense Attack
  • Nuclear Attack
  • Bio-Terrorism Attack
  • Radiological Attack

9
What do we expect to accomplish
  • Analyze the trust criteria of the sources by
    pattern matching.
  • Bring more customized results based on User type
    and Event type.
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