<?xml version='1.0' encoding='UTF-8'?><codeBook xmlns="ddi:codebook:2_5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="ddi:codebook:2_5 https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd" version="2.5"><docDscr><citation><titlStmt><titl>Maldeb Dataset</titl><IDNo agency="DOI">doi:10.34820/FK2/HQYV4X</IDNo></titlStmt><distStmt><distrbtr source="archive">Telkom University Dataverse</distrbtr><distDate>2024-03-28</distDate></distStmt><verStmt source="archive"><version date="2024-03-28" type="RELEASED">1</version></verStmt><biblCit>ISMAIL, SETIA JULI IRZAL, 2024, "Maldeb Dataset", https://doi.org/10.34820/FK2/HQYV4X, Telkom University Dataverse, V1</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>Maldeb Dataset</titl><subTitl>Malware-benign Image Representation Dataset</subTitl><IDNo agency="DOI">doi:10.34820/FK2/HQYV4X</IDNo></titlStmt><rspStmt><AuthEnty affiliation="Institut Teknologi Bandung, Telkom University">ISMAIL, SETIA JULI IRZAL</AuthEnty><othId role="Data Collector">Debi Amalia Septiyani</othId><othId role="Data Curator">Halimul Hakim Khairul</othId><othId role="Data Manager">Dani Agung Prastiyo</othId></rspStmt><prodStmt/><distStmt><distrbtr source="archive">Telkom University Dataverse</distrbtr><contact affiliation="Telkom University" email="julismail@telkomuniversity.ac.id">ISMAIL, SETIA JULI IRZAL</contact><depositr>JULI IRZAL ISMAIL, SETIA</depositr><depDate>2024-03-28</depDate></distStmt></citation><stdyInfo><subject><keyword>Computer and Information Science</keyword><keyword>malware</keyword><topcClas>malware</topcClas></subject><abstract>Malware-benign Image representation. The Dataset were collected from several malware repositories, including TekDefense, TheZoo, The Malware-Repo, Malware Database amd Malware Bazar. The benign samples were collected from Microsoft 10 and 11 system apps and several open source software repository including CNET, Sourceforge, FileForum, PortableFreeware. The samples were validated by scanning them using Virustotal Malware scanning services. The Samples underwent preprocessing by converting the malware binary into grayscale images following rules from Nataraj (2011). Nataraj Paper: https://vision.ece.ucsb.edu/research/signal-processing-malware-analysis. Maldeb Dataset is collected by Debi Amalia Septiyani and Halimul Hakim Khairul D. A. Septiyani, “Generating Grayscale and RGB Images dataset for windows PE malware using Gist Features extaction method,” Institut Teknologi Bandung, 2022, and Dani Agung Prastiyo, "Design and implementation of a machine learning-based malware classification system with an audio signal feature Analysis Approach," Institut Teknologi Bandung, 2023. The complete dataset can be accessed on this link https://ieee-dataport.org/documents/maldeb-dataset  and https://github.com/julismail/Self-Supervised</abstract><sumDscr/></stdyInfo><method><dataColl><sources/></dataColl><anlyInfo/></method><dataAccs><notes type="DVN:TOU" level="dv">CC0 Waiver</notes><setAvail/><useStmt/></dataAccs><othrStdyMat><relPubl><citation><biblCit>MalSSL - Self-Supervised Learning for Accurate and Label-efficient malware Classificaition</biblCit></citation></relPubl></othrStdyMat></stdyDscr><otherMat ID="f18006" URI="https://doi.org/10.34820/FK2/HQYV4X/VINITV" level="datafile"><labl>00a71718fc9af677e8dba149386da3940688bb6ccf917ddea341294566077c83.png</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">image/png</notes></otherMat><otherMat ID="f18013" URI="https://doi.org/10.34820/FK2/HQYV4X/Q2IZZE" level="datafile"><labl>00ab4af1a80ad635b079ee809836d37db5d7286b6f08ee485d3af22562ce54aa.png</labl><notes level="file" 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