• Dr.D.Srinivas
• Dr. R. Jegadeesan
• T.Samyuktha
• P.Anusha
• N.PoornaChary

Money related problems for instance, tax avoidance, is known to be a veritable method of bad behavior that makes misguidedly procured resources go to fear mongering or other criminal activity. This kind of unlawful activities incorporate complex frameworks of trade and fiscal trades, which make it difficult to perceive the coercion components and discover the features of distortion. Fortunately, trading/trade framework and features of substances in the framework can be created from the mind boggling frameworks of trade and budgetary trades. Trading/trade arrange reveals the relationship among components and thusly anomaly acknowledgment on trading frameworks can reveal the components connected with the blackmail activity; while features of substances are the depiction of components and variation from the norm area on features can reflect nuances of the deception works out. Thusly, framework and features give correlative information to coercion area, which can improve distortion acknowledgment execution. In any case, a large portion of existing methods base on frameworks or features information autonomously, which doesn't utilize the two information. In this paper, we propose a novel distortion revelation framework, CoDetect, which can utilize both framework information and feature information for cash related blackmail area. Similarly, CoDetect can at the same time perceiving cash related coercion practices and the part structures related with the deception works out. Expansive examinations on both made data and genuine data demonstrate the capability and the ampleness of the proposed framework in fighting cash related blackmail, especially for unlawful duty evasion.

Irregularity incorporate ID, CoDetect, cash related deception.

"MONETARY EXTORTION DISCOVERY USING ANOMALY FEATURE DETECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.329-339, March-2019, Available :http://www.jetir.org/papers/JETIRAU06046.pdf

"MONETARY EXTORTION DISCOVERY USING ANOMALY FEATURE 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. pp329-339, March-2019, Available at : http://www.jetir.org/papers/JETIRAU06046.pdf