Internet Fraud

Author(s):  
Ricardo Kawase ◽  
Francesca Diana ◽  
Mateusz Czeladka ◽  
Markus Schüler ◽  
Manuela Faust
Keyword(s):  
1999 ◽  
Vol 1999 (7) ◽  
pp. 5
Author(s):  
Barbara Gengler
Keyword(s):  

Author(s):  
Lith Enestine Tembon Ambit

Factors affecting the adoption of online banking services by civil servants in Cameroon was examined in this survey. Raw data were gotten through questionnaire which was distributed mostly among the civil servant in Douala of Cameroon. The analyses used in this survey were crosstabs test, descriptive analysis, factor analysis, correlation test, and regression test. The findings revealed that awareness factor has a positive and significant effect on online banking, security & trust assurance showed a negative and insignificant effect on online banking service, innovative factor displayed a negative and insignificant effect on online banking service, and customer service assurance revealed positive but has insignificant impact on online banking service. It was concluded that internet banking is difficult to understand and its time consuming among many of the users and internet fraud discourages the use of internet banking in Cameroon. Additionally, the dissemination of information through the internet is not mostly secure and efficient.


2013 ◽  
pp. 59-70
Author(s):  
Graham Brooks ◽  
Azeem Aleem ◽  
Mark Button
Keyword(s):  

2012 ◽  
pp. 931-943
Author(s):  
Michael Bachmann ◽  
Brittany Smith

This article provides an introduction into the topic of Internet fraud. A precise definition and detailed descriptions of the most prevalent Internet fraud schemes are provided. The entry presents a history of frauds committed on the Internet and introduces the leading scholars on the subject. Predominant areas of research are discussed, and future directions of the problem of Internet fraud schemes are outlined. The entry concludes with a critique of current limitations and advancements needed to better address the increasing problem of online frauds.


Author(s):  
Ammar Jamil Odeh ◽  
Ismail Keshta ◽  
Eman Abdelfattah

Phishing is a type of Internet fraud that aims to acquire the credential of users via scamming websites. In this paper, a novel approach is utilized that uses a Neural Network with a multilayer perceptron to detect the scam URL. The proposed system improves the accuracy of the scam detection system as it achieves a high accuracy percentage of 98.5%.


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