Informatics Publishing Limited

Edna Dias Canedo ¹, Rafael Timoteo de Sousa ¹, Robson de Oliveira Albuquerque ¹

Affiliations
1 Electrical Engineering Department, University of Brasilia, UNB, Campus Darcy Ribeiro, Asa Norte, Brasilia – DF, 70910-900, BR

Abstract

The recent developments in cloud computing technology show an increase in security, privacy and trust related problems, in many ways, which haven't been predicted by the ones who have been designing clouding environments. Among them, the users trust problem and cloud computing resources secure access warranty have deserved special attention. At this study, it will be presented a review on the concepts of cloud computing, trust and reputation, and some open questions related to trust and security in cloud computing environments will be discussed. Computing systems trust and reputation representation have been widely discussed and applied in a lot of information technology scenarios, becoming subject of scientific researches both from a theoretical and practical point of view. This paper proposes the development of a high level trust model to ensure a reliable files exchange among users in a private cloud, as well as the calculation process of trust among these users, according to the metrics previously established.

Keywords

Availability, Cloud Computing, Distributed Computing, Filesystem, Integrity, Reputation, Security and Trust.

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Laerte Peotta ¹, Marcelo D. Holtz ¹, Bernardo M. David ¹, Flavio G. Deus ¹, Rafael Timoteo de Sousa ¹

Affiliations
1 Electrical Engineering Department, University of Brasilia (UnB), Campus Universitario Darcy Ribeiro, Asa Norte, 70910-900, Brasilia, DF, BR

Abstract

A formal classification of attacks and vulnerabilities that affect current internet banking systems is presented along with two attacks which demonstrate the insecurity of such systems. Based ona thorough analysis of current security models, we propose a guidelines for designing secure internet banking systems which are not affected by the presented attacks and vulnerabilities.

Keywords

Internet Banking, E-Bank, Online Bank, Identification, Authentication, Authorization.

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Bruno Carneiro da Rocha ¹, Rafael Timoteo de Sousa ²

Affiliations
1 Bank of Brazil, Brasilia-DF, BR
2 Network Engineering Laboratory, University of Brasilia (UnB), Brasilia-DF, BR

Abstract

This article aims to evaluate the use of techniques of decision trees, in conjunction with the management model CRISP-DM, to help in the prevention of bank fraud. This article offers a study on decision trees, an important concept in the field of artificial intelligence. The study is focused on discussing how these trees are able to assist in the decision making process of identifying frauds by the analysis of information regarding bank transactions. This information is captured with the use of techniques and the CRISP-DM management model of data mining in large operational databases logged from internet bank transactions.

Keywords

Fraud Detection, Fraud Prevention, Decision Taking, Machine Learning, Decision Trees, Data Mining.

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