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Accelerating Malware Detection via a Graphics Processing Unit

Jezik EngleskiEngleski
Knjiga Meki uvez
Knjiga Accelerating Malware Detection via a Graphics Processing Unit Nicholas S Kovach
Libristo kod: 08138128
Nakladnici Biblioscholar, rujan 2012
Real-time malware analysis requires processing large amounts of data storage to look for suspicious... Cijeli opis
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Real-time malware analysis requires processing large amounts of data storage to look for suspicious files. This is a time consuming process that (requires a large amount of processing power) often affecting other applications running on a personal computer. This research investigates the viability of using Graphic Processing Units (GPUs), present in many personal computers, to distribute the workload normally precessed by the standard Central Processing Unit (CPU). Three experiments are conducted using an industry standard GPU, the NVIDIA GeForce 9500 GT card. Experimental results show that a GPU can calculate a MD5 signature hash and scan a database of malicious signatures 82% faster then a CPU for files between 0 - 96 kB. If the file size is increased to 97 - 192 kB the GPU is 85% faster than the CPU. This demonstrates that the GPU can provide a greater performance increase over a CPU.These results could help achieve faster anti-malware products, faster network intrusion detection system response times, and faster firewall applications.

Informacije o knjizi

Puni naziv Accelerating Malware Detection via a Graphics Processing Unit
Jezik Engleski
Uvez Knjiga - Meki uvez
Datum izdanja 2012
Broj stranica 100
EAN 9781249449812
ISBN 9781249449812
Libristo kod 08138128
Nakladnici Biblioscholar
Težina 195
Dimenzije 189 x 246 x 5
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