Towards Ontology-based E-mail Fraud Detection

Kerremans, Koen; Tang, Yan; Temmerman, Rita; Zhao, Gang

doi:10.1109/epia.2005.341275

Cited by 10 publications

(8 citation statements)

References 9 publications

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“…Several of the stereotypic Nigerian expressions identified in this article constitute the lexical core in the construction of what is called “terminology engineering in e-mail fraud detection” (Kerremans, Tang, Temmerman, & Zhao, 2005, p. 110) to track and trash fraudulent Nigerian e-mail solicitations. That means 419 scam e-mails have caused the linguistic singularities of even honest Nigerians to be pathologized and criminalized, especially because 419 e-mails have done more to popularize Nigerian English to the rest of the English-speaking world than any Nigerian cultural artifact.…”

Section: Discussionmentioning

confidence: 99%

“Your English Is Suspect”: Language, Communication, and the Pathologization of Nigerian Cyber Identity Through the Stylistic Imprints of Nigerian E-Mail Scams

Kperogi

2018

Journal of Communication Inquiry

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Identity is embedded not just in language but in the communicative and interactional singularities of language and in the linguistic habitus that speakers bring to bear in their relational and discursive encounters. This study explores how Nigerian English speakers, through the ubiquitous 419 e-mail scams, bring with them distinctive stylistic and sociolinguistic imprints in their quotidian dialogic encounters with other English users in the world, which at once construct, constrict, and constrain not only them but also other Nigerian English speakers. I also show links between demotic articulations of Nigerian English in Nigeria and its symbolic approbation and reproduction in the Nigerian news media, and how this conspires to construct Nigerian identity online.

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Section: Discussionmentioning

confidence: 99%

“Your English Is Suspect”: Language, Communication, and the Pathologization of Nigerian Cyber Identity Through the Stylistic Imprints of Nigerian E-Mail Scams

Kperogi

2018

Journal of Communication Inquiry

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“…Tang et al [2] propose an ontology to detect e-mail frauds. The ontology aims to tackle financial frauds, using formal ontological repositories as well as multilingual terminological resources.…”

Section: Methodsmentioning

confidence: 99%

Elaboration of Financial Fraud Ontology

Hussaini

Guessoum²,

Mercier‐Laurent³

2022

Communication Papers of the 17th Conference on Computer Science and Intelligence Systems

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Financial Frauds have dynamically changed, the fraudsters are becoming more sophisticated. There has been an estimated global loss of 5.127 trillion dollars each year due to various forms of financial frauds. Industries like banking, insurance, e-commerce and telecommunication are the main targets for financial frauds. Several techniques have been proposed and applied to understand and detect financial frauds. In this paper we propose an ontology to describe financial frauds and related knowledge. The aim of this ontology is to provide a semantic framework for the detection of financial frauds. Theoretical ontology has been elaborated exploring various sources of information.After describing the research objectives, related works and research methodology, this paper presents details of theoretical ontology. It is followed by its validation using real datasets. Discussion of the obtained results gives some perspectives for the future work.

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“…Rudman () notes that one of the problems associated with authorship analysis is the availability of suitable corpora, and that although the corpora used are often not ideal, they are the only ones available. However, one corpus that has been used in several authorship characterization studies (Argamon et al., ; Kerremans et al., ; Tsur & Rappoport, ; Wong & Dras, ) is the ICLE (Granger, ). The ICLE has been compiled over 10 years of collaboration with several universities.…”

Section: Previous Workmentioning

confidence: 99%

“…There is a potential pool of thousands of authors, and being able to identify the actual author would be next to impossible. Studies (Kerremans, Tang, Temmerman, & Zhao, ; Tsur & Rappoport, ; Wong & Dras, ) have found that an individual's demographics can affect their choice of words in speech and text. Like forensic profiling in the physical arena, authorship characterization attempts to limit the pool of potential authors by identifying demographic characteristics of the author, such as gender, age, and first language.…”

Section: Introductionmentioning

confidence: 99%

Using psycholinguistic features for profiling first language of authors

Torney

Vamplew

Yearwood

2012

J Am Soc Inf Sci Tec

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This study empirically evaluates the effectiveness of different feature types for the classification of the first language of an author. In particular, it examines the utility of psycholinguistic features, extracted by the Linguistic Inquiry and Word Count (LIWC) tool, that have not previously been applied to the task of author profiling. As LIWC is a tool that has been developed in the psycholinguistic field rather than the computational linguistics field, it was hypothesized that it would be effective, both as a single type feature set because of its psycholinguistic basis, and in combination with other feature sets, because it should be sufficiently different to add insight rather than redundancy. It was found that LIWC features were competitive with previously used feature types in identifying the first language of an author, and that combined feature sets including LIWC features consistently showed better accuracy rates and average F measures than were achieved by the same feature sets without the LIWC features. As a secondary issue, this study also examined how effectively first language classification scaled up to a larger number of possible languages. It was found that the classification scheme scaled up effectively to the entire 16 language collection from the International Corpus of Learner English, when compared with results achieved on just 5 languages in previous research.

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Towards Ontology-based E-mail Fraud Detection

Cited by 10 publications

References 9 publications

“Your English Is Suspect”: Language, Communication, and the Pathologization of Nigerian Cyber Identity Through the Stylistic Imprints of Nigerian E-Mail Scams

“Your English Is Suspect”: Language, Communication, and the Pathologization of Nigerian Cyber Identity Through the Stylistic Imprints of Nigerian E-Mail Scams

Elaboration of Financial Fraud Ontology

Using psycholinguistic features for profiling first language of authors

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