Title :
Securing financial network system through multilevel security using Cyber-Physical System and data mining concepts
Author :
Mangipudi, Sharada Varalaxmi ; Verma, P. Suresh ; Rao, M. Srinivasa
Author_Institution :
Dept. of CSE&IT, St. Peters Eng. Coll., Hyderabad, India
Abstract :
The main scope of this research paper is to build a security system with multilevel security features of the financial network system. It explores to extract the customer behavior in the financial sector through data mining concepts like clusters.The primary it is to cluster the customer behavior into various patterns and examine the correlation among this cluster for fraud detection and risk management. The secondary task is to classify the data into multilevel and secure through the Cyber Physical System (CPS). Through the CPS,the proposed system is to implement and monitor the entire network and also to ensure the information classification.
Keywords :
computer network security; consumer behaviour; data mining; embedded systems; financial data processing; fraud; pattern classification; risk analysis; customer behavior extraction; cyber-physical system; data classification; data mining; financial network system security; financial sector; fraud detection; information classification; multilevel security; network monitoring; risk management; Artificial neural networks; Business; Encryption; Payloads; Clusters; CyberPhysical System; DataMining; Multilevel Security; fraud Detection; risk management;
Conference_Titel :
High Performance Computing and Applications (ICHPCA), 2014 International Conference on
Print_ISBN :
978-1-4799-5957-0
DOI :
10.1109/ICHPCA.2014.7045331
