Data Lineage in Malicious Environment (DLIME) for Text Data by using AES, SHA
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 3
Abstract
Intentional or unintentional confidential data is leaked and it is undoubtedly one of the most severe security threats that organizations are facing in this digital era. The threats now extending to our personal lives and professional lives, information is available to social networks and smart phone providers is indirectly transferred(hacked or transferred) to untrustworthy third party and fourth party applications. Presenting a data lineage framework DLIME for identifying a guilt entity who leaked the data across public cloud which takes three characteristic, principal roles (i.e. owner, consumer and consumer). DLIME allows to identify guilty entity who leaked the data within a malicious environment by building upon fake record, digital signature and encrypting the modified record.
Authors and Affiliations
Prof. Abhijit Pawar, Miss. Sonali Kadam, Miss. Pranali Jagtap, Miss. Priyanka Bhosale, Miss. Supriya Kadam
Keywords
Related Articles
- EP ID EP23696
- DOI http://doi.org/10.22214/ijraset.2017.3234
- Views 332
- Downloads 6
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