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FRAMEWORK FOR DATA BREACH DETECTION AND PRIVACY ASSURANCE OF ELECTRONIC DOCUMENT

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dc.contributor.author Hassan, Muhammad Sohaib
dc.date.accessioned 2023-08-27T05:43:24Z
dc.date.available 2023-08-27T05:43:24Z
dc.date.issued 2021
dc.identifier.other 172753
dc.identifier.uri http://10.250.8.41:8080/xmlui/handle/123456789/37600
dc.description Supervisor: Dr. Hasan Tahir en_US
dc.description.abstract Organizations are handling huge amounts of data on daily basis. This data includes passenger name records (PNR), patient’s medical information, financial statements, State level secrets i.e. watch list of terrorist/spy, exit control list, etc. In case secret data is leaked, it could cause huge losses in term of legal proceedings, financial penalties and reputation loss. As same data is being shared to and processed by multiple organizations, it very important to identify exact party from where data has been breached so that responsibility of data loss can be fixed. Public key encryption can be helpful to map identity of any party (originator or recipient) to the encrypted data, but once data is decrypted, the identity is lost. Digital watermarking is a technique, which embeds hidden code or secret information inside data in decrypted or readable form. However, watermarking alone cannot guarantee non-repudiation as watermarked data is visible to other parties as well i.e. originator. If both techniques are used i.e. public key encryption and text watermarking through a controlled framework or flow, data can be securely shared to multiple parties with an embedded unique identity (watermark code). In this project, a complete framework is proposed to provide data integrity, confidentiality and non-repudiation of delivery of data, which is being shared, to multiple parties of the system. In case data is leaked the watermark code can be extracted to identify exact location or party of data breach en_US
dc.language.iso en en_US
dc.publisher School of Electrical Engineering and computer Science (SEECS), NUST en_US
dc.title FRAMEWORK FOR DATA BREACH DETECTION AND PRIVACY ASSURANCE OF ELECTRONIC DOCUMENT en_US
dc.type Thesis en_US


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