Applications of Puzzle methods for intrusion detection in ATMs

Author

Jotsov, Vladimir ; Sgurev, Vassil

Author_Institution

Univ. of Libr. Studies & Inf. Technol., Sofia, Bulgaria

fYear

2012

fDate

6-8 Sept. 2012

Firstpage

481

Lastpage

488

Abstract

Below are a number of specific weaknesses inherent to contemporary ATM devices including the ones with biometric checks or with other advanced applications. Reasons are considered that lead to applications of intelligent, logic-based methods aiming at reduction of risk factors to ATMs. Special attention is paid to applications of Puzzle method in ATMs. To make a more independently functioning ATM, the proposed methods should be applied to data/knowledge/metaknowledge elicitation, knowledge refinement, analysis of different logical connections aiming at information checks.

Keywords

automatic teller machines; bank data processing; data mining; knowledge based systems; ontologies (artificial intelligence); security of data; ATM device; ATM intrusion detection; biometric check; data elicitation; data mining; information check; intelligent logic-based method; knowledge discovery; knowledge refinement; logical connection analysis; metaknowledge elicitation; ontology; puzzle method; risk factor reduction; Cameras; Monitoring; Online banking; Ontologies; Security; Standards; Training; ATM; agent; constraint satisfaction; information security systems; knowledge discovery and data mining; quantitative methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems (IS), 2012 6th IEEE International Conference

Conference_Location

Sofia

Print_ISBN

978-1-4673-2276-8

Type

conf

DOI

10.1109/IS.2012.6335180

Filename

6335180