• Ravikanth Mishra
• S.Lavanya
• V.Sai Likitha
• B.Bhavya Sree
• K.Mukesh

Fraud typically means that wrongful or criminal deception meant to result in monetary or personal gain. Financial fraud can be done by any persons ranging from senior managers to payroll employee that involves money. There are many techniques that are developed to identify, analyze and prevent financial fraud behavior. The most popularly known technique is the fraud triangle theory which is associated with classic financial audit model. We proposed a knowledge framework that identifies and outlines a group of individuals in financial organizations like banking where there are chances of committing fraud. Fraud Find approach works in a continuous audit that will be in charge of collecting information of agents installed in user’s equipment. It is based on semantic techniques applied through the collection of phrases taken from the users under study for later being transferred to a repository for later analysis. This system contributes for the field of cyber security, for the reduction of financial fraud. The proposed technique works with an organization that comes under banking sector which will be our data to study. An agent is an application installed in the terminals of the users in order to obtain the data that they generate from the different sources of information that reside on their equipment. We wish to form different patterns like classifications, taxonomies, or typologies that represent the data. The various categories of data under fraud triangle are pressure, opportunity and justification.

"Analyzing Human Behavior For Financial Fraud Detection ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.384-388, March-2019, Available :http://www.jetir.org/papers/JETIR1903B61.pdf

"Analyzing Human Behavior For Financial Fraud Detection ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp384-388, March-2019, Available at : http://www.jetir.org/papers/JETIR1903B61.pdf