A pristine clean cabalistic foruity strategize based approach for incremental data stream privacy preserving data mining

2010 IEEE 2nd International Advance Computing Conference, IACC 2010

Volumn , Issue , 2010, Pages 410-415

  Gitanjali, J ^a   Indumathi, J ^b   Iyengar, N Ch Sriman Narayana ^a  

^a VIT UNIVERSITY   (India)

^b ANNA UNIVERSITY   (India)

Author keywords

Determinist random numbers; Encryption; Indeterminist random numbers; Privacy; Privacy preserving data mining; Re identification problem

Indexed keywords

DATA MINING APPLICATIONS; DATA UTILITIES; EVALUATION METRICS; IDENTIFICATION PROBLEM; INCREMENTAL DATA; INDIVIDUAL PRIVACY; INFORMATION SAFETY; PERSONAL INFORMATION; PRIVACY PRESERVING DATA MINING; PROCESSING SPEED; RANDOM MATRIX; RANDOM NUMBERS; RANDOM PROJECTIONS; RANDOM SEQUENCE; SECRET KEY; STATE OF AFFAIRS; TECHNOLOGICAL DEVELOPMENT;

COMPUTER CRIME; CRYPTOGRAPHY; DATA COMMUNICATION SYSTEMS; DATA MINING; DATA PROCESSING; HYDRAULICS; PERSONAL COMPUTING; RANDOM NUMBER GENERATION; TECHNOLOGICAL FORECASTING; TOUGHENING;

DATA PRIVACY;

EID: 77951181839     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IADCC.2010.5422918     Document Type: Conference Paper

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