Review of hybrid analysis technique for malware detection

Malware is a problem spread out worldwide. Current techniques to analyze these malware are static analysis technique and dynamic analysis technique. Later, the two analysis technique is combined into a technique called hybrid analysis technique. This paper discusses on the current analysis technique...

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Main Authors: Yus Kamalrul, Mohamed Yunus, Syahrulanuar, Ngah
Format: Conference or Workshop Item
Language:English
Published: IOP Publishing 2020
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/29221/
http://umpir.ump.edu.my/id/eprint/29221/1/Review%20of%20hybrid%20analysis%20technique%20for%20malware%20detection.pdf
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author Yus Kamalrul, Mohamed Yunus
Syahrulanuar, Ngah
author_facet Yus Kamalrul, Mohamed Yunus
Syahrulanuar, Ngah
author_sort Yus Kamalrul, Mohamed Yunus
building UMP Institutional Repository
collection Online Access
description Malware is a problem spread out worldwide. Current techniques to analyze these malware are static analysis technique and dynamic analysis technique. Later, the two analysis technique is combined into a technique called hybrid analysis technique. This paper discusses on the current analysis technique and introduces a new approach towards the hybrid analysis technique by introducing memory analysis technique into it. The expected outcome of producing memory analysis technique in hybrid analysis technique will be discussed in the latter part of this paper.
first_indexed 2025-11-15T02:53:54Z
format Conference or Workshop Item
id ump-29221
institution Universiti Malaysia Pahang
institution_category Local University
language English
last_indexed 2025-11-15T02:53:54Z
publishDate 2020
publisher IOP Publishing
recordtype eprints
repository_type Digital Repository
spelling ump-292212022-12-12T02:08:16Z http://umpir.ump.edu.my/id/eprint/29221/ Review of hybrid analysis technique for malware detection Yus Kamalrul, Mohamed Yunus Syahrulanuar, Ngah QA76 Computer software TK Electrical engineering. Electronics Nuclear engineering Malware is a problem spread out worldwide. Current techniques to analyze these malware are static analysis technique and dynamic analysis technique. Later, the two analysis technique is combined into a technique called hybrid analysis technique. This paper discusses on the current analysis technique and introduces a new approach towards the hybrid analysis technique by introducing memory analysis technique into it. The expected outcome of producing memory analysis technique in hybrid analysis technique will be discussed in the latter part of this paper. IOP Publishing 2020-06-05 Conference or Workshop Item PeerReviewed pdf en cc_by http://umpir.ump.edu.my/id/eprint/29221/1/Review%20of%20hybrid%20analysis%20technique%20for%20malware%20detection.pdf Yus Kamalrul, Mohamed Yunus and Syahrulanuar, Ngah (2020) Review of hybrid analysis technique for malware detection. In: IOP Conference Series: Materials Science and Engineering, 6th International Conference on Software Engineering and Computer Systems, ICSECS 2019 , 25 - 27 September 2019 , Vistana Hotel, Kuantan, Pahang. pp. 1-8., 769 (012075). ISSN 1757-8981 (Print), 1757-899X (Online) (Published) https://doi.org/10.1088/1757-899X/769/1/012075
spellingShingle QA76 Computer software
TK Electrical engineering. Electronics Nuclear engineering
Yus Kamalrul, Mohamed Yunus
Syahrulanuar, Ngah
Review of hybrid analysis technique for malware detection
title Review of hybrid analysis technique for malware detection
title_full Review of hybrid analysis technique for malware detection
title_fullStr Review of hybrid analysis technique for malware detection
title_full_unstemmed Review of hybrid analysis technique for malware detection
title_short Review of hybrid analysis technique for malware detection
title_sort review of hybrid analysis technique for malware detection
topic QA76 Computer software
TK Electrical engineering. Electronics Nuclear engineering
url http://umpir.ump.edu.my/id/eprint/29221/
http://umpir.ump.edu.my/id/eprint/29221/
http://umpir.ump.edu.my/id/eprint/29221/1/Review%20of%20hybrid%20analysis%20technique%20for%20malware%20detection.pdf