Debate: Fraud risk management in the public sector

2013 ◽  
Vol 33 (1) ◽  
pp. 6-8 ◽  
Author(s):  
Peter M. Jackson
Information ◽  
2018 ◽  
Vol 9 (10) ◽  
pp. 248 ◽  
Author(s):  
Sérgio Andrade deFreitas ◽  
Edna Canedo ◽  
Rodrigo Santos Felisdório ◽  
Heloise Leão

The Information and Communication Technology Master Plan—ICTMP—is an important tool for the achievement of the strategic business objectives of public and private organizations. In the public sector, these objectives are closely related to the provision of benefits to society. Information and Communication Technology (ICT) actions are present in all organizational processes and involves size-able budgets. The risks inherent in the planning of ICT actions need to be considered for ICT to add value to the business and to maximize the return on investment to the population. In this context, this work intends to examine the use of risk management processes in the development of ICTMPs in the Brazilian public sector.


Author(s):  
Mayuri Manikrao Patil ◽  
Snehal Nimba Nikumbh ◽  
Aparna Parshwanath Parigond

A customer’s decision to purchase a product or service are primarily influenced by online reviews. Customers use online reviews, which are valuable sources of information to understand the public opinion on products and/or services. Dependability on online reviews can give rise to the potential concern that violator could give deceitful reviews in order to synthetically promote or decry products and services. This practice is known as Opinion Spam, where spammers manipulate reviews by making fake, untruthful, or deceptive reviews to get profit and boost their products, and devalue a competitor’s products. In order to tackle this issue, we propose to build a fraud risk management system and removal model. This captures fraudulent transactions based on user behaviors and network, analyses them in real-time using Data Mining, and accurately predicts the suspicious users and transactions. In this system, we use two algorithms NLP and TF-IDF to differentiate between fake and genuine reviews or feedback received by the customers


Author(s):  
Razana Juhaida Johari ◽  
Jamaliah Said ◽  
Md. Mahmudul Alam

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