RT Journal Article
T1 Endpoint Security in Networks: An OpenMP Approach for Increasing Malware Detection Speed
A1 Forain, Igor
A1 de Oliveira Albuquerque, Robson
A1 Sandoval Orozco, Ana Lucila
A1 García Villalba, Luis Javier
A1 Kim, Tai-Hoon
AB Increasingly sophisticated antivirus (AV) software and the growing amount and complexity of malware demand more processing power from personal computers, specifically from the central processor unit (CPU). This paper conducted performance tests with Clam AntiVirus (ClamAV) and improved its performance through parallel processing on multiple cores using the Open Multi-Processing (OpenMP) library. All the tests used the same dataset constituted of 1.33 GB of data distributed among 2766 files of different sizes. The new parallel version of ClamAV implemented in our work achieved an execution time around 62% lower than the original software version, reaching a speedup of 2.6 times faster. The main contribution of this work is to propose and implement a new version of the ClamAV antivirus using parallel processing with OpenMP, easily portable to a variety of hardware platforms and operating systems.
PB MDPI
SN 2073-8994
YR 2017
FD 2017-08-27
LK https://hdl.handle.net/20.500.14352/19231
UL https://hdl.handle.net/20.500.14352/19231
LA eng
DS Docta Complutense
RD 6 abr 2025