slide with data security using non-llinear techniques

3. DATABASE SECURITY

4. MOTIVATION
Medical data
Consumer purchase data
Census data
Communication and media-related data
Data gathered by government agencies

5. Unauthorized Exposure
Malicious Attempt To Steal And
Modify The Data
Hackers

10. METHOD
•Level of noise between the original and
distorted data is found out.
• If it is higher than the threshold
value, then it can be easily hacked.
• Data holder add some more noise.
• Process repeated until it falls within
minimum threshold value.
• Thus the privacy level is raised.

14. PERFORMANCE
EVALUVATION
• The proposed system is trained to overcome
both the linear and non-linear attacks from
the hackers.
• The existing system deals only with linear
attacks.
• Checking with the existing noise level until
there is no similarity we can increase the
privacy to greater extent.

15. Additive
petrubatio
n
Non linear perturbation Petrubation
techniques
Multiplicative
petrubation