Secured Offline Data Synchronization Using Speech Recognition and Artificial Intelligence
Jagadish M (VTU & BITM, Ballari, India); L Swarna Jyothi (VTU-RRC, India); D Aradhana (BITM, Ballari, India)
Offline data synchronization is a technique used to design an application that works without an internet connection. In the proposed work, offline synchronization methods for android have been enhanced along with the security and prioritization in the data file. The synchronization process has to be first validated and hence a speech recognition mechanism has also been applied in the proposed solution. Speech authentication systems along with unique feature selection and classification techniques are applied for providing the security. In addition to security, the proposed framework presents a set of cache memory which is updated when the user is online in order to optimize the synchronization process. The priority algorithm works according to user preferences. The files which are not in use for a long time are removed from the cache of offline user and the files which are getting used by the user often, get migrated to the cache memory automatically. The proposed job does not just emphasize user access, but also provides a safe way to manage the data. The proposed job also manages memory well so that the user does not find any hysteresis.
Journal: International Journal of Simulation- Systems, Science and Technology- IJSSST V20
Published: Feb 28, 2019