High performance scalable and expressive modeling environment to study mobile malware in large dynamic networks

Proceedings - 25th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2011

Volumn , Issue , 2011, Pages 770-781

  Channakeshava, Karthik ^a,b   Bisset, Keith ^b   Kumar, V S Anil ^b,c   Marathe, Madhav ^b,c   Yardi, Shrirang ^b,d  

^a ERICSSON RESEARCH   (United States)

^b VIRGINIA BIOINFORMATICS INSTITUTE   (United States)

^c Virginia Polytechnic Institute and State University   (United States)

^d NVIDIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMMODITY CLUSTERS; DISEASE PROPAGATION; DYNAMIC INTERACTION; EASE OF USE; HIGH PERFORMANCE COMPUTING; HUMAN PRODUCTIVITY; INDIVIDUAL-BASED; LARGE DYNAMIC NETWORKS; MALWARE PROPAGATION; MALWARES; MOBILE MALWARE; MOBILE WIRELESS NETWORK; MODELING ENVIRONMENTS; ORDERS OF MAGNITUDE; REALISTIC SIMULATION; SIMULATION TOOL; STOCHASTIC EPIDEMICS; TIME VARYING;

COMPUTER CRIME; COMPUTER SIMULATION; COMPUTER SOFTWARE SELECTION AND EVALUATION; DISTRIBUTED PARAMETER NETWORKS; TIME VARYING NETWORKS; WIRELESS NETWORKS;

DISTRIBUTED COMPUTER SYSTEMS;

EID: 80053277731     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IPDPS.2011.77     Document Type: Conference Paper

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