FOG Computing: Preventing Insider Data Theft Attacks in Cloud Using User Behavior Profiling and Decoy Information Technology
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International Journal of Engineering Trends and Technology (IJETT) |  |
| © 2016 by IJETT Journal | ||
| Volume-32 Number-7 |
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| Year of Publication : 2016 | ||
| Authors : Gayatri Kalaskar, Purva Ratkanthwar, Prachi Jagadale, Bhagyashri Jagadale |
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| DOI : 10.14445/22315381/IJETT-V32P266 |
Citation
Gayatri Kalaskar, Purva Ratkanthwar, Prachi Jagadale, Bhagyashri Jagadale"FOG Computing: Preventing Insider Data Theft Attacks in Cloud Using User Behavior Profiling and Decoy Information Technology", International Journal of Engineering Trends and Technology (IJETT), V32(7),352-355 February 2016. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Abstract
Now a days, Cloud Computing plays very important role in the online world. In Cloud computing gives us significantly different ways of using computers to access our personal and business information. These new ways also arises some new challenges in security of cloud. Old techniques like data encryption have failed in preventing data theft where the perpetrator are insider to the cloud provider. We are proposing a new approach where data is secured by offensive decoy technology. We monitor different parameters of data access in cloud to detect data access patterns. When unauthorized data access is suspected and then verified by using challenge questions, we send large amount of decoy information to attacker. This decoy information prevents misuse of user’s real data.
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Keywords
Fog Computing, Decoy Security, Decoy Information Technology.