Approaches to develop oracle for detecting deception in online chatting software

Author

Shukur, Z. ; Nasution, A.H. ; Wibowo, A.A.

Author_Institution

Sch. of Comput. Sci., Univ. Kebangsaan Malaysia, Bangi, Malaysia

fYear

2011

fDate

17-19 July 2011

Firstpage

1

Lastpage

3

Abstract

In this paper we will discuss several approaches that can be used to develop an oracle in chatting software. This oracle is meant to give early warning to the chatting software user about their chatting partner based on their communication. The approaches include expert rule, data mining, ontology as well as simple text processing. Even though the issue of privacy and free-information in cyber world is unavoidable, we believe that choices must be given so that stack holder such as parents can choose to have save environment for their children.

Keywords

data mining; expert systems; ontologies (artificial intelligence); security of data; social networking (online); text analysis; data mining; deception detection; expert rule; online chatting software; ontology; oracle development approach; text processing; Blogs; Data mining; Detectors; Internet; Ontologies; Social network services; Software; Chatting Dangers; Detecting Lies; Early Warning Software; Online Chatting;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Engineering and Informatics (ICEEI), 2011 International Conference on

Conference_Location

Bandung

ISSN

2155-6822

Print_ISBN

978-1-4577-0753-7

Type

conf

DOI

10.1109/ICEEI.2011.6021557

Filename

6021557