2026-06-27T15:45:41Zhttps://docta.ucm.es/rest/oai/requestoai:docta.ucm.es:20.500.14352/192312023-08-26T14:59:04Zcom_20.500.14352_14col_20.500.14352_15
Docta Complutense
author
Forain, Igor
author
de Oliveira Albuquerque, Robson
author
Sandoval Orozco, Ana Lucila
author
García Villalba, Luis Javier
author
Kim, Tai-Hoon
2023-06-18T00:05:08Z
2023-06-18T00:05:08Z
2017-08-27
2073-8994
10.3390/sym9090172
https://hdl.handle.net/20.500.14352/19231
https://doi.org/10.3390/sym9090172
https://www.mdpi.com/2073-8994/9/9/172
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.
eng
Atribución 3.0 España
Endpoint Security in Networks: An OpenMP Approach for Increasing Malware Detection Speed
journal article
URL
https://docta.ucm.es/bitstreams/488ff73d-61fe-452b-98d2-0deb918462b5/download
File
MD5
b07064730a5e7682b0d719b226d501df
362413
application/pdf
symmetry-09-00172.pdf
URL
https://docta.ucm.es/bitstreams/d908ed19-fa0c-4e9a-b70a-01461939e4f5/download
File
MD5
f3ec98c2dc084b215c6590fc9177e616
56141
text/plain
symmetry-09-00172.pdf.txt