Prevention of Attacks on Big Data Records by Multiple Security Strategies

Journal Title: International Journal of Engineering and Science Invention - Year 2018, Vol 7, Issue 4

Abstract

This Project Formulates The Several Types Of Big Data Relational Database Securities As A Constrained Efficient Techniques To Solve The Security Problems. While Transferring Data From One Server To Another There Are Many Possibilities Of Attacking The Data By Intruders. This Proposed System Will Provide Efficient Data To The Receiver Without Any Intruders Stealing The Data. This System Address The Novel Problems Of Securely Sending Provenance For Data Security Using Range Partitioning, J-Bit Encoding, Des Algorithm And Secure Data Hiding Algorithm (Sdha).In Range Partitioning, It Divides The Table Records And Assigns Partition Number To It. In J-Bit Encoding Each Bit Was Encoded. That Made An Original Dataset To Encoded Data. It Works By Manipulate Bits Of Data To Reduce The Size And Optimize Input For Other Algorithm. Then Des Encryption Was Implemented. It Is A Symmetric-Key Algorithm For The Encryption Of Electronic Data. Finally The Sdha Was Implemented To Secure The Original Data. The Text Can Be Known As Cover Text Which Embedded With Original Data To Prevent Alterations To Original Data. These Security Features Can Provide An Efficient Way Of Providing Security For Of Big Data Dataset.

Authors and Affiliations

Aiswarya S, Hindu Priyadharshini M

Keywords

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  • EP ID EP396711
  • DOI -
  • Views 58
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How To Cite

Aiswarya S, Hindu Priyadharshini M (2018). Prevention of Attacks on Big Data Records by Multiple Security Strategies. International Journal of Engineering and Science Invention, 7(4), 12-16. https://europub.co.uk/articles/-A-396711