Artificial Intelligence an Essential Expected Computer World Surveillance

Dr. K.Sudheer Kumar; D.Srikar; CH.S.V.V.S.N Murthy

Artificial Intelligence an Essential Expected Computer World Surveillance

Dr. K.Sudheer Kumar * §

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D.Srikar

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CH.S.V.V.S.N Murthy

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Jawaharlal Nehru Technical University

Artificial Intelligence an Essential Expected Computer World Surveillance

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Abstract

A position paper toward an important and urgent discussion on how best uses the potential of Artificial Intelligence in the context of Computer World surveillance. AI is often cited in papers on Computer World surveillance. But what is meant is using pre-existing AI techniques in Computer World surveillance. AI techniques are established around applications. Computer World surveillance has never been an area of deliberation in AI. In this paper we argue that Computer World surveillance calls for new and specific AI techniques developed with that kind of application in mind. In practice, this paper is based on a broad overview of different slants, which have the budding to be game changers in Computer World surveillance. This paper focuses on web solicitation security and supporters the use of Knowledge Based Systems, probabilistic reasoning and Bayesian apprising to control the probability of false positives and false denials.

References

19 Cites in Article

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. K.Sudheer Kumar, D.Srikar, CH.S.V.V.S.N Murthy. 2012. "Artificial Intelligence an Essential Expected Computer World Surveillance". Global Journal of Computer Science and Technology - D: Neural & AI GJCST-D Volume 12 (GJCST Volume 12 Issue D10).

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GJCST Volume 12 Issue D10

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

CSRF Documentation Keywords : Bayesian updating probabilistic reasoning Security Theory

Classification

GJCST-D Classification I.2.1

Submission ReceivedDecember 9, 2011
Peer Review Double Blind
Handling Editor
Accepted January 4, 2012
Published January 15, 2012

Version of record

v1.2

Issue date

August 22, 2012

Language

English

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Article Matrices

Total Score: 148

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Dr. K.Sudheer Kumar, D.Srikar, CH.S.V.V.S.N Murthy (PhD/Dr. count: 1)

View Count (all-time): 489

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Total Downloads (simulated): 144

Publish Date: 2012 01, Sun

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Total Views: 3.6K

Total Downloads: 144

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