Machine learning approach to malware classifications / detection /

Project Paper (Sarjana Muda Kejuruteraan (Elektrik - Elektronik)) - Universiti Teknologi Malaysia, 2011

Bibliographic Details
Main Authors: Fadzlie Aimi Mohd. Zain, 1986-, Muhammad Nadzir Marsono, Fakulti Kejuruteraan Elektrik
Format:
Language:eng
Published: 2011
Subjects:
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author Fadzlie Aimi Mohd. Zain, 1986-
Muhammad Nadzir Marsono
Fakulti Kejuruteraan Elektrik
author_facet Fadzlie Aimi Mohd. Zain, 1986-
Muhammad Nadzir Marsono
Fakulti Kejuruteraan Elektrik
author_sort Fadzlie Aimi Mohd. Zain, 1986-
collection OCEAN
description Project Paper (Sarjana Muda Kejuruteraan (Elektrik - Elektronik)) - Universiti Teknologi Malaysia, 2011
first_indexed 2024-03-05T11:14:30Z
format
id KOHA-OAI-TEST:454902
institution Universiti Teknologi Malaysia - OCEAN
language eng
last_indexed 2024-03-05T11:14:30Z
publishDate 2011
record_format dspace
spelling KOHA-OAI-TEST:4549022020-12-19T17:16:35ZMachine learning approach to malware classifications / detection / Fadzlie Aimi Mohd. Zain, 1986- Muhammad Nadzir Marsono Fakulti Kejuruteraan Elektrik 2011engProject Paper (Sarjana Muda Kejuruteraan (Elektrik - Elektronik)) - Universiti Teknologi Malaysia, 2011Includes bibliographical referencesFEELECTLMalware (Computer software)
spellingShingle Malware (Computer software)
Fadzlie Aimi Mohd. Zain, 1986-
Muhammad Nadzir Marsono
Fakulti Kejuruteraan Elektrik
Machine learning approach to malware classifications / detection /
title Machine learning approach to malware classifications / detection /
title_full Machine learning approach to malware classifications / detection /
title_fullStr Machine learning approach to malware classifications / detection /
title_full_unstemmed Machine learning approach to malware classifications / detection /
title_short Machine learning approach to malware classifications / detection /
title_sort machine learning approach to malware classifications detection
topic Malware (Computer software)
work_keys_str_mv AT fadzlieaimimohdzain1986 machinelearningapproachtomalwareclassificationsdetection
AT muhammadnadzirmarsono machinelearningapproachtomalwareclassificationsdetection
AT fakultikejuruteraanelektrik machinelearningapproachtomalwareclassificationsdetection