DATA LEAKAGE AND PREVENTION SYSTEM IN SECURE CLOUD STORAGE USING LOCATION DEFINED NETWORK
Arulselvan A1, Radhakrishnan B2, Santhosh S3
Department of Computer Science and Engineering.
EGS Pillay Engineering College, Nagapattinam.
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Abstract - Data sharing and access are capabilities businesses and organizations require the most these days. Remote working and mobile access to resources and collaboration platforms made it easier to access data and resources from anywhere, anytime. Employees want to access documents and email from different devices, and from various locations at a time. Access from untrusted networks is always a threat to businesses. This might result in data loss and overexposure of critical data. To mitigate the deficiencies of logical security mechanisms ,and coinciding with the trend of cyber-physical systems, security mechanisms have been proposed that integrate with the physical environment. To ensure that business’s data and resources are safe. In this project we propose an innovative CodeFence that uses a location data and geospatial intelligence. Geospatial data analysis enhances understanding, insight, decision-making, and prediction. Location intelligence (LI) is achieved via visualization and analysis of geospatial data. Then we improve the security of data access in Data Server for a company or any other specific locations using the location-based cryptosystem. CodeFence provides a means to secure sensitive information within an organization. It can be set to Off, On, Restricted View or Read Only. Once a geo-fenced boundary is defined, the opportunities what businesses can do is limited by only their creativity. The main benefit of setting up such a geo fence is in avoiding data leakage. Once defined the trusted network locations, no one can access data from a different network location/device. The experiment shows that our scheme is feasible in practical applications.
Key Words: geospatial, data access, CodeFence, Location, Security, Cloud Storage.
