{"id":3347,"date":"2011-03-25T21:13:17","date_gmt":"2011-03-25T21:13:17","guid":{"rendered":"http:\/\/hgpu.org\/?p=3347"},"modified":"2011-03-25T21:13:17","modified_gmt":"2011-03-25T21:13:17","slug":"efficient-implementation-for-md5-rc4-encryption-using-gpu-with-cuda","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=3347","title":{"rendered":"Efficient implementation for MD5-RC4 encryption using GPU with CUDA"},"content":{"rendered":"<p>Benefit from the novel compute unified device architecture (CUDA) introduced by NVIDIA, graphics processing unit (GPU) turns out to be a promising solution for cryptography applications. In this paper we present an efficient implementation for MD5-RC4 encryption using NVIDIA GPU with novel CUDA programming framework. The MD5-RC4 encryption algorithm was implemented on NVIDIA GeForce 9800GTX GPU. The performance of our solution is compared with the implementation running on an AMD Sempron Processor LE-1200 CPU. The results show that our GPU-based implementation exhibits a performance gain of about 3-5 times speedup for the MD5-RC4 encryption algorithm.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Benefit from the novel compute unified device architecture (CUDA) introduced by NVIDIA, graphics processing unit (GPU) turns out to be a promising solution for cryptography applications. In this paper we present an efficient implementation for MD5-RC4 encryption using NVIDIA GPU with novel CUDA programming framework. The MD5-RC4 encryption algorithm was implemented on NVIDIA GeForce 9800GTX [&hellip;]<\/p>\n","protected":false},"author":351,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[11,89,3,287],"tags":[1782,14,20,411,1800],"class_list":["post-3347","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-nvidia-cuda","category-paper","category-security","tag-computer-science","tag-cuda","tag-nvidia","tag-nvidia-geforce-9800-gtx","tag-security"],"views":2875,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/3347","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/users\/351"}],"replies":[{"embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=3347"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/3347\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=3347"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=3347"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=3347"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}