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  • 标题:GENE BASED MULTIVARIATE BIOMETRIC USER ACCESS CONTROL AND AUTHENTICATION FOR SOCIAL NETWORKS COMMUNICATION
  • 本地全文:下载
  • 作者:JAYANTHI SIVASUBRAMANIAM ; Dr. C. CHANDRASEKAR
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2017
  • 卷号:95
  • 期号:13
  • 页码:2935
  • 出版社:Journal of Theoretical and Applied
  • 摘要:Using multimodal biometrics for effective management of user authentication in online social networks (OSNs) is currently of practical interest. Considerable efforts is said to have taken in this field. However, multi-modal biometrics user authentication provides additional information to enhance the secured and reliable user communication compared to that of traditional cryptographic key authentication in social network. In this work, biometric user authentication scheme with multi-modalities (i.e., types of biometric data) for secured and reliable social network communication, called Multivariate Biometric User Access Control and Authentication (MBUAC-A) scheme is presented. User biometric feature template is extracted from corresponding human individuals and stored in spatial vectors. Gene encoding is applied on user biometric feature template to form an access control strategy. User biometric keys are generated for corresponding gene encoded user biometric feature templates. Authentication of user access is done based on the user biometric keys. Finally, the authenticity of user access is checked and ensured by gene decoding of corresponding user biometric keys. The experimental evaluation of proposal work is conducted with parameters such capacity of biometric feature template, user access control time, number of users, gene encode/decode latency, and access control accuracy.
  • 关键词:Multimodal Biometrics; Online Social Networks; Multivariate; Access Control; Authentication; Gene Encoding/Decoding
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