[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-118070-en":3,"doc-seo-118070-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},118070,137441390410,"Hazel","https://ap-avatar.wpscdn.com/avatar/2000252f4ab5702993?_k=1776741390130283984",6,"Technology","MALWARE DETECTION IN ANDROID USING MACHINE LEARNING","Research work focuses on improving safety for smartphone users by addressing the growing risk of malware, especially targeting Android operating systems. The study examines malware detection approaches and evaluates how machine learning techniques can be used to detect malicious behavior on Android devices. Findings indicate that machine learning can achieve promising detection accuracy, reaching about 90% in experiments, supporting its suitability as an effective and reliable detection method.","MALWARE DETECTION IN ANDROID USING MACHINE LEARNING  \nMUHAMMAD HAZRIQ AKMAL BIN ZAIROL  \nBACHELOR'S OF COMPUTER SCIENCE  \n(COMPUTER SYSTEM & NETWORKING)  \nWITH HONOURS  \nUNIVERSITI MALAYSIA PAHANG  \nUNIVERSITI MALAYSIA PAHANG  \n\n| DECLARATION OF THESIS AND COPYRIGHT\u003Cbr>Author’s Full Name : MUHAMMAD HAZRIQ AKMAL BIN ZAIROL\u003Cbr>Date ofBirth :\u003Cbr>Title : MALWARE DETECTION IN ANDROID USING\u003Cbr>MACHINE LEARNING\u003Cbr>Academic Session : SEMESTER 1 2022/2023\u003Cbr>I declare that this thesis is classified as:\u003Cbr>☐ CONFIDENTIAL (Contains confidential information under the Official Secret\u003Cbr>Act 1997)*\u003Cbr>☐ RESTRICTED (Contains restricted information as specified by the\u003Cbr>organization where research was done)*\u003Cbr>☒ OPEN ACCESS I agree that my thesis to be published as online open access\u003Cbr>(Full Text)\u003Cbr>I acknowledge that Universiti Malaysia Pahang reserves the following rights:\u003Cbr>1. The Thesis is the Property of Universiti Malaysia Pahang\u003Cbr>2. The Library of Universiti Malaysia Pahang has the right to make copies of the thesis for the purpose of research only.\u003Cbr>3. The Library has the right to make copies of the thesis for academic exchange. |  |\n| --- | --- |\n| Certified by:\u003Cbr>(Student’s Signature)\u003Cbr>_ New IC/Passport\u003Cbr>Number Date: 7/11/2022 | (Supervisor’s Signature)\u003Cbr>DR MOHD FAIZAL BIN AB RAZAK\u003Cbr>Name of Supervisor Date: 20/7/2023 |\n\nNOTE : * If the thesis is CONFIDENTIAL or RESTRICTED, please attach a thesis declaration letter.  \nTHESIS DECLARATION LETTER (OPTIONAL)  \nLibrarian,  \nPerpustakaan Universiti Malaysia Pahang,  \nUniversiti Malaysia Pahang, Lebuhraya Tun Razak, 26300, Gambang, Kuantan.  \nDear Sir,  \nCLASSIFICATION OF THESIS AS RESTRICTED  \nPlease be informed that the following thesis is classified as RESTRICTED for a period of three (3) years from the date of this letter. The reasons for this classification are as listed below.  \nAuthor’s Name  \nThesis Title  \nReasons (i)  \n(ii)  \n(iii)  \nThank you.  \nYours faithfully,  \n(Supervisor’s Signature)  \nDate: 20/7/2023  \nStamp:  \nNote: This letter should be written by the supervisor, addressed to the Librarian, Perpustakaan Universiti Malaysia Pahang with its copy attached to the thesis.  \nSUPERVISOR’S DECLARATION  \nI/We* hereby declare that I/We* have checked this thesis/project* and in my/our* opinion, this thesis/project* is adequate in terms of scope and quality for the award of the degree of *Doctor of Philosophy/ Master of Engineering/ Master of Science in  \n(Supervisor’s Signature)  \nFull Name : DR MOHD FAIZAL BIN AB RAZAK  \nPosition : SENIOR LECTURER  \nDate : 20/7/2023  \n(Co-supervisor’s Signature) Full Name :  \nPosition :  \nDate :  \nSTUDENT’S DECLARATION  \nI hereby declare that the work in this thesis is based on my original work except for quotations and citations which have been duly acknowledged. I also declare that it has not been previously or concurrently submitted for any other degree at Universiti Malaysia Pahang or any other institutions.  \n(Student’s Signature)  \nFull Name : MUHAMMAD HAZRIQ AKMAL BIN ZAIROL  \nID Number : CA20144  \nDate : 7/11/2022  \nMALWARE DETECTION IN ANDROID USING MACHINE LEARNING  \nMUHAMMAD HAZRIQ AKMAL BIN ZAIROL  \nThesis submitted in fulfillment of the requirements for the award of the degree of  \nBACHELOR'S OF COMPUTER SCIENCE (COMPUTER SYSTEM & NETWORKING) WITH HONOURS  \nFaculty of Computing  \nUNIVERSITI MALAYSIA PAHANG  \nACKNOWLEDGEMENTS  \nI would like to express my deepest gratitude to all those who have supported me throughout my final year project.  \nFirst and foremost, I would like to thanks to Allah for making it possible for me to finish this research without any problems. And I would like to thank my project supervisor Ts. Dr. Mohd Faizal bin Ab Razak, for the guidance, support, and encouragement throughout the project. His expertise and knowledge in the field of malware detection have been invaluable, and I am grateful for the time his dedicated to help me understand the technical aspects of the project.  \nI would also li","cbCaiiwaLcMeuJsM","https://ap.wps.com/l/cbCaiiwaLcMeuJsM","pdf",1408143,1,109,"English","en",105,"# Declaration and Copyright\n# Supervisor and Student Declarations\n# Acknowledgements\n# Abstract (Abstrak)","[{\"question\":\"Why is malware detection important for Android users?\",\"answer\":\"The study highlights that smartphone security is a major concern and malware threats are increasingly targeting Android users. Ignoring security issues can cause harm to others as well.\"},{\"question\":\"What is the main goal of this research?\",\"answer\":\"The research aims to study methods for detecting malware on the Android operating system and propose a malware detection system using machine learning techniques.\"},{\"question\":\"How accurate is the proposed approach based on the study results?\",\"answer\":\"The results indicate that machine learning provides a promising detection accuracy, reaching around 90% in the experiments.\"}]","MALWARE DETECTION IN ANDROID USING MACHINE LEARNING | PDF",1785681268,275,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"malware-detection-in-android-using-machine-learning","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/technology/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/malware-detection-in-android-using-machine-learning/118070/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-02",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"Why is malware detection important for Android users?","Question",{"text":75,"@type":76},"The study highlights that smartphone security is a major concern and malware threats are increasingly targeting Android users. 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