Anonygator: Privacy and integrity preserving data aggregation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6452 LNCS, Issue , 2010, Pages 85-106

  Puttaswamy, Krishna P N ^a   Bhagwan, Ranjita ^b   Padmanabhan, Venkata N ^b  

^a University of California   (United States)

^b MICROSOFT RESEARCH   (United States)

Author keywords

Anonymity; Distributed aggregation; Integrity; Pollution; Scalability; Tokens

Indexed keywords

ANONYMITY; ANONYMOUS ROUTING; DATA AGGREGATION; DATA AGGREGATION SERVICE; DISTRIBUTED AGGREGATION; DISTRIBUTED APPLICATIONS; DISTRIBUTED DIAGNOSTICS; DISTRIBUTED SENSING; INTEGRITY; LARGE-SCALE DISTRIBUTED APPLICATIONS; LIGHT WEIGHT; PERFORMANCE MONITORING; PLANETLAB; POLLUTION ATTACK; POLLUTION RESISTANCE; SYSTEM SCALABILITY; TOKENS; TREE-BASED; USER ANONYMITY;

MIDDLEWARE; POLLUTION; SCALABILITY;

TREES (MATHEMATICS);

EID: 79956336254     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-16955-7_5     Document Type: Conference Paper

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