Title :
Optimistic fuzzy based signature identification in cloud using multimedia mining and analysis techniques
Author_Institution :
Dept. of CSE, SCSVMV Univ., Kanchipuram, India
Abstract :
Client level security issues in the cloud computing became a major challenge in service access process in cloud environment. Day by day number of threats over the network increasing because of the huge demand for the cloud product and service. The existing authentication systems are unable to provide the sufficient security and user Identification techniques. The proposed scheme, Trying to provide the Optimistic user signature identification through mining analysis and also using Fuzzy logic based user classification module provide the sufficient security for the cloud service access. This scheme reduces the complexity involved in the key exchange process in cryptographic techniques. With the help of strong mining tools and fuzzy computations, trying to prove that proposed scheme will provide sufficient user classification and security.
Keywords :
cloud computing; cryptography; data analysis; data mining; fuzzy logic; multimedia systems; pattern classification; authentication system; client level security issue; cloud computing; cloud environment; cryptographic technique; fuzzy logic based user classification; multimedia analysis technique; multimedia mining technique; optimistic fuzzy based signature identification; optimistic user signature identification; service access process; user identification technique; user security; Authentication; Cloud computing; Data mining; Intrusion detection; Multimedia communication; Virtual machine monitors; Cloud Computing; Cloud storage Server; Fuzzy based Signature; Multimedid Mining;
Conference_Titel :
Information Communication and Embedded Systems (ICICES), 2013 International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4673-5786-9
DOI :
10.1109/ICICES.2013.6508328