Artificial Intelligence an Essential Expected Computer World Surveillance

Artificial Intelligence an Essential Expected Computer World Surveillance

Sudheer Kumar Kotha

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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 Technological University, Kakinada

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.

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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

Sudheer Kumar Kotha. 2012. \u201cArtificial Intelligence an Essential Expected Computer World Surveillance\u201d. 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

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

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Article Matrices

Total Score: 108

Country: India

Subject: Global Journal of Computer Science and Technology - D: Neural & AI

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

View Count (all-time): 287

Total Views (Real + Logic): 10384

Total Downloads (simulated): 2602

Publish Date: 2012 08, Wed

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Total Views: 10384

Total Downloads: 2602

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