Hindering Data Theft Attacks Using Fog Computing
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2014, Vol 2, Issue 12
Abstract
Cloud Computing enables multiple users to share common computing resources, and to access and store their personal and business information A major amount of professional and personal data is stored on cloud.Cloud storage is being used enormously in various industrial sectors. A major amount of professional and personal data is stored on cloud. Cloud storage is being used enormously in various industrial sectors. In spite of the abundant advantages of storing data on cloud, Security still remains a major hurdle which needs to be conquered. Data on Cloud is being accessed with the new communication and computing paradigms which further arises new data security challenges. The subsisting methods of protecting data on cloud have failed in preventing data theft attacks. An altered approach is used known as fog computing which uses the two techniques viz. User Behaviour Profiling and Decoy Technology. Inspite of the these techniques, there occurs a problem of the wrong information appearing to the correct user and also the misidentification of user as an attacker then the situation goes up side down and user faces inconvenience and dissatisfaction. In this paper, we propose a technique to solve the mentioned problem i.e. implementation of Cusum algorithm which detects changes in user access patterns and calculates average fluctuation efficiently and thus enhances the accuracy to detect the insider data theft attacks.
Authors and Affiliations
Ashadeep, Sachin Majithia
Keywords
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