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Deception Detection on the Internet

Deception Detection on the Internet

Xiaoling Chen, Rohan D.W. Perera, Ziqian (Cecilia) Dong, Rajarathnam Chandramouli, Koduvayur P. Subbalakshmi
Copyright: © 2010 |Pages: 21
ISBN13: 9781605668369|ISBN10: 1605668362|EISBN13: 9781605668376
DOI: 10.4018/978-1-60566-836-9.ch014
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MLA

Chen, Xiaoling, et al. "Deception Detection on the Internet." Handbook of Research on Computational Forensics, Digital Crime, and Investigation: Methods and Solutions, edited by Chang-Tsun Li, IGI Global, 2010, pp. 334-354. https://doi.org/10.4018/978-1-60566-836-9.ch014

APA

Chen, X., Perera, R. D., Dong, Z. C., Chandramouli, R., & Subbalakshmi, K. P. (2010). Deception Detection on the Internet. In C. Li (Ed.), Handbook of Research on Computational Forensics, Digital Crime, and Investigation: Methods and Solutions (pp. 334-354). IGI Global. https://doi.org/10.4018/978-1-60566-836-9.ch014

Chicago

Chen, Xiaoling, et al. "Deception Detection on the Internet." In Handbook of Research on Computational Forensics, Digital Crime, and Investigation: Methods and Solutions, edited by Chang-Tsun Li, 334-354. Hershey, PA: IGI Global, 2010. https://doi.org/10.4018/978-1-60566-836-9.ch014

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Abstract

This chapter provides an overview of techniques and tools to detect deception on the Internet. A classification of state-of-the-art hypothesis testing and data mining based deception detection methods are presented. A psycho-linguistics based statistical model for deception detection is also described in detail. Passive and active methods for detecting deception at the application and network layer are discussed. Analysis of the pros and cons of the existing methods is presented. Finally, the inter-play between psychology, linguistics, statistical modeling, network layer information and Internet forensics is discussed along with open research challenges.

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