UNIVERSITY DATA RECOVERY SYSTEM USING SEED BLOCK ALGORITHM

Abstract

Large amount of data is generated in electronic form. The data recovery services are required to maintain this data very efficiently. Since organizations (include universities) have become very dependent on digital data processing, a breakdown may disrupt the business' regular routine and stop its operation for a certain amount of time. In order to prevent data loss and minimize disruptions there have to be well designed file backup and recovery procedures. The recovery process can rebuild the system when it goes down. In this paper we have proposed a smart remote data backup algorithm, Seed Block Algorithm (SBA). The main aim of proposed algorithm is two types: the first one is to help the users to collect information from any remote location in the non-presence of or loss of network connectivity. Another one is to recover the files if files get deleted mistakenly or if the server gets destroyed due to any reason. The time related problems are also solved by proposed SBA such that it will take minimum time for the recovery procedure. Without using any of the existing encryption techniques, the proposed paper concentrates on security features for the backup files stored at remote servers. This system is implemented by using ASP.Net (C#) programming language with Microsoft SQL Server 2008.