Authentication protocol for fingerprint feature extraction and IBC in monitoring systems

Authentication methods based on biometric parameters are gaining importance over the years. But they require the storage and transmission security of fingerprint templates to perform this task. In this work an efficient method based on digital fingerprint random encryption IBC is introduced. The process works by user’s fingerprint feature and asymmetric authentication technology to security implementation in monitoring system. Firstly, Fingerprint feature vector was extracted based on the digital fingerprint point extraction method for details feature. Then user identity information had good uniqueness and prevent speculative by the digital fingerprint characteristic vector was encrypted. Finally user identity certificate was generated based on the RSA random fusion method, and the user's identity was determined by random value. The proposed protocol has been modeled and tested with datacenter computer monitoring system (DCRMS) and is found to be safe. Key-Words: Authentication, Random Encryption, Smart Cards, Monitoring Systems