• Pranjali Prashant Nalavade
• Bhagyashri Parashuram Dewoolkar
• Sampada Satishachandra Prabhu

Nowadays, the banking industry is facing an acute problem of fraud. The problem is international, and no country is fully protected. Fraudsters became specialists in hijacking on-line sessions: they steal shopper credentials and use malware to swindle funds from unaware account holders. Data mining applications ar employed in many banking sectors for shopper segmentation and productivity, credit scores and authorization, predicting payment default, advertising, and detecting fake transactions.. This paper presents a general plan concerning the model of information Mining techniques and numerous cyber-crimes in banking applications. It conjointly provides associate comprehensive survey of competent and valuable techniques on data processing for cyber-crime knowledge analysis. The objective of cyber-crime data processing is to acknowledge patterns in criminal manners so as to predict crime anticipate criminal activity and forestall it. This paper implements a completely unique data processing techniques like K-Means, Influenced Association Classifier and J48 Prediction tree for investigating the cyber crime data sets and sorts out the accessible problems. The K-Means algorithmic program is being used for unsupervised learning cluster at intervals influenced Association Classification. K-means selects the initial centroids so the classifier will mine the record and formulate predictions of cyber crimes with J48 algorithmic program. The collective knowledge of K-Means, Influenced Association Classifier and J48 Prediction tree tends certainly to afford a enhanced, incorporated, and precise result over the cyber crime prediction in the banking sectors Our enforcement organizations need to be adequately outfitted to defeat and forestall the cyber crime.

Cyber crime, Data mining,k mean algorithm, clustering, Influenced Association Classification, J48

"Detection of Cyber Crime in Banking Sector", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.413-416, April-2019, Available :http://www.jetir.org/papers/JETIR1904675.pdf

"Detection of Cyber Crime in Banking Sector", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp413-416, April-2019, Available at : http://www.jetir.org/papers/JETIR1904675.pdf