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Record
Title
Greedy distinguishers and nonrandomness detectors
Type
Conference Proceeding/Paper
Publ. year
2010
Author/s
Stankovski, Paul
Department/s
Department of Electrical and Information Technology; Crypto and Security-lup-obsolete; ELLIIT: the Linköping-Lund initiative on IT and mobile communication
In LUP since
2016-04-01
Downloads

Total This Year This Month
1163 7 1
Downloads per country

United States of America 350 (30%)
China 233 (20%)
Sweden 108 (9%)
India 78 (7%)
Germany 69 (6%)
Iran 38 (3%)
Russian Federation 28 (2%)
France 27 (2%)
Ukraine 20 (2%)
Canada 18 (2%)
Czechia 16 (1%)
Switzerland 12 (1%)
United Kingdom of Great Britain and Northern Ireland 12 (1%)
Japan 12 (1%)
Singapore 11 (1%)
Hong Kong (China) 7 (1%)
Netherlands (Kingdom of the) 7 (1%)
Belgium 6 (1%)
Malaysia 6 (1%)
Australia 5 (0%)
Slovakia 5 (0%)
Taiwan (China) 5 (0%)
Finland 5 (0%)
Turkiye 5 (0%)
Philippines 4 (0%)
Ireland 4 (0%)
Italy 4 (0%)
Brazil 4 (0%)
Romania 4 (0%)
Denmark 3 (0%)
Indonesia 3 (0%)
Tunisia 3 (0%)
Unknown 3 (0%)
Norway 2 (0%)
Portugal 2 (0%)
Thailand 2 (0%)
Saudi Arabia 2 (0%)
Egypt 2 (0%)
Morocco 2 (0%)
Iraq 2 (0%)
Poland 2 (0%)
South Africa 2 (0%)
Viet Nam 2 (0%)
Spain 2 (0%)
South Korea 2 (0%)
United Arab Emirates 2 (0%)
Luxembourg 1 (0%)
Nepal 1 (0%)
North Korea 1 (0%)
Serbia 1 (0%)
Oman 1 (0%)
Israel 1 (0%)
Slovenia 1 (0%)
Nigeria 1 (0%)
Moldova, The Republic of 1 (0%)
Pakistan 1 (0%)
Colombia 1 (0%)
Venezuela 1 (0%)
Jordan 1 (0%)
Hungary 1 (0%)
Argentina 1 (0%)
Kenya 1 (0%)
Estonia 1 (0%)
Kazakhstan 1 (0%)
Chile 1 (0%)
Greece 1 (0%)
Austria 1 (0%)
About
The download statistics shown here have been collected since the launch of LUP in October 2007 and are updated every night. Statistics are available for all records with open access fulltexts. Efforts have been made to exclude downloads by robots and track irregular download activities.

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Disclaimer
The information on downloads per country is based on the geolocation of IP addresses and may not be completely accurate. The statistics presented here may also change retroactively when the calculation process is improved to provide more accurate results.

Statistics Last Updated
Sun Jul 20 08:30:06 2025