M.Tech / M.E / PhD Thesis | Computer Science & Engineering | India | Volume 4 Issue 9, September 2015
Information Leak Detection and Prevention
Deepika. S. Patil, Dr. Sujata Terdal
Abstract: Information leakage is one of the major challenges in end to end data exchange through Open Source light weight services like MQTT and Redis. These brokers are important part of information sharing in VPN and fog computing. Generally such brokers do not offer session management, access control and data security. The goal of this work is to extend the capabilities of such information brokers by implementing security layer on top of data service to prevent information leakage. This particular work consider Redis broker as a test case and offers security layer to prevent information leakage through Redis broker. We also design a UI system to demonstrate the capabilities of the system with and without the security. Our results shows that adding the security extension does not increase the overhead by much in terms of system resources and latency. We also extend the key-value based system to be able to store binary image data which is also stored in the encrypted pattern.
Keywords: Redis, visual studio, Authentication Service, Encryption to Value data, Security to persistent data one that is stored permanently, Security to blob data multimedia data for images
Edition: Volume 4 Issue 9, September 2015,
Pages: 1079 - 1082
How to Cite this Article?
Deepika. S. Patil, Dr. Sujata Terdal, "Information Leak Detection and Prevention", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=SUB158211, Volume 4 Issue 9, September 2015, 1079 - 1082
How to Share this Article?
Similar Articles with Keyword 'Redis'
Analytics of Application Resource Utilization within the Virtual Machine
A Survey on QOS Guaranteed Bandwidth Shifting and Redistribution in Mobile Cloud Environment
Similar Articles with Keyword 'visual studio'
Fault Tolerance in Parallel System Using Multiple Stacks
K. Meera, Prof. S. Abiramasundari
Fault Tolerance for Adaptive Replication in Grid Using Fused Data Structures