[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-117261-en":3,"doc-seo-117261-105":29,"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":20,"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":13,"seo_description":14,"update_tm":27,"read_time":28},117261,8796095462418,"Noah","https://ap-avatar.wpscdn.com/avatar/80000253c1241d02b47?x-image-process=image/resize,m_fixed,w_180,h_180&k=1778826106357471780",8,"Research & Report","Investigating the Security Issues of IoT Devices Using Machine Learning Techniques - Thesis","The integration of the Internet of Things (IoT) across various sectors has notably increased vulnerability to sophisticated multilayer attacks, compromising multiple security layers and leading to significant breaches, including data loss, personal information theft, and financial losses. Existing research on multilayer IoT attacks faces gaps in real-world applicability due to reliance on outdated datasets and limited focus on adaptive, dynamic approaches. This thesis proposes a novel Semi-Automated Intrusion Detection System (SAIDS) that combines feature selection, weighting, normalisation, visualisation, and human-machine interaction. The approach improves detection and identification of multilayer attacks, supporting binary and multiclass classification to enhance mitigation strategies.","INVESTIGATING THE SECURITY ISSUES OF IOT DEVICES USING MACHINE LEARNING TECHNIQUES  \nTHESIS  \nsubmitted for the degree of  \nDoctor of Philosophy  \nby  \nBadeea Mahmoud AL Sukhni  \nSchool of Engineering, Technology and Design  \nCanterbury Christ Church University  \nOctober, 2024  \nDeclaration  \nI, Badeea Al Sukhni, declare that:  \n• The work presented in this thesis, titled \"Investigating the Security Issues ofIoT Devices Using Machine Learning Techniques\" is my own and embodies the results of my research during my period of registration.  \n• I have read and followed the University’s Academic Integrity Policy and that the thesis does not breach copyright or other intellectual property rights of a third party. Where necessary I have gained permission to reproduce copyright materials.  \n• Any material which has been previously presented and accepted for the award of an academic qualification at this University or elsewhere is clearly identified in the thesis. • Where work is the product of collaboration the extent of the collaboration has been indicated.  \nSigned:  \nDated: 9 October 2024  \nACKNOWLEDGEMENTS  \nStarting with thanking God for providing me with the strength, wisdom, and resources to complete this thesis, I express my sincere gratitude. This accomplishment would not have been possible without His grace and mercy.  \nFirst, I would like to extend my gratitude to myself for all the hard work—the time, the pressure, the motivation, the ambition, and the vision that have come together to achieve this dissertation. Most importantly, I deeply appreciate the determination, courage, and patience that I have demonstrated throughout this journey.  \nI am deeply grateful to my first supervisor, Dr. Soumya Manna, my second supervisor and the chair, Dr. Leishi Zhang, and Dr. Jugal Dave as an external advisor. Your unwavering support, guidance, and encouragement throughout my research have been invaluable. Your expertise and mentorship have played an invaluable role in shaping my academic journey.  \nMy heartfelt thanks go to the ETD School at CCCU for offering me the PhD scholarship and to its staff for their endless support. I would like to particularly thank Prof. Anne Nortcliffe (now at Wrexham University), Prof. Abdullahi Ahmed, Dr. Hany Hassanin, Dr. Adil Imam, Mr. Tim Jackson, Dr. Usman Abdullah, Dr. AtifRasheed and Mrs. Sana Rahman. I would also like to extend my regards to the PhD students at CCCU—Merlin Kasirajan, Kiko Li, Mohammed Al-Alawi, Adedayo Olowolayemo, and Francis Okeke—with whom I shared many deep and often funny discussions, as well as experiences throughout our research journeys.  \nI would like to thank my beloved husband, Anas AL Kayed, who has been my source of strength throughout my journey. Your support—whether reminding me of tasks or standing by my side through every challenge—has been truly invaluable. Your confidence in my abilities has continually pushed me forward, and I am forever grateful for your constant presence.  \nI also deeply appreciate my family members and friends, specifically—Abdullah Namroqa, Bothaina Alsukhni, Naya and Tala Namroqa, Safa Jrwan, Noura Ibrahim, Majd Abuawad, Rania Kolaghassi, Natalie Aguilar, Zahra AlHumaidi, Ahed Abouda, Hala Zorkot, and Assef Hussein—  \nfor their endless love, encouragement, and support. Your belief in me has been a continuous source of motivation, guiding me through the uncertainties of this journey.  \nI would like to express my deepest thanks to my parents, Mahmoud AL Sukhni and Khawla Obeidat, for everything you have provided me throughout my life. I am forever grateful for your faith in me, your investment in my education in Jordan and the UK, your constant support, encouragement, guidance, your presence whenever I needed you, and your unconditional love, and much more. Every accomplishment I have made or will achieve is because of you.  \nTo my parents, Mahmoud Al Sukhni and Khawla Obeidat, who have dedicated their lives to us; my husband, AnasAl Kayed;","cbCaipWwsd18UzwW","https://ap.wps.com/l/cbCaipWwsd18UzwW","pdf",5766691,1,167,"English","en",105,"# Declaration\n# Acknowledgements\n# Abstract","[{\"question\":\"Why is multilayer IoT security increasingly vulnerable to attacks?\",\"answer\":\"IoT integration across sectors increases exposure to sophisticated multilayer attacks that can compromise multiple security layers, leading to data loss and financial and personal information breaches.\"},{\"question\":\"What limitations exist in prior multilayer IoT attack research?\",\"answer\":\"Prior work often relies on outdated datasets and focuses less on adaptive, dynamic methods that address multilayer vulnerabilities in realistic scenarios.\"},{\"question\":\"What does the proposed SAIDS approach add to intrusion detection?\",\"answer\":\"SAIDS integrates efficient feature selection and weighting, normalisation and visualisation, and human-machine interaction to improve detection and identification of multilayer attacks using binary and multiclass classification.\"}]",1785674796,421,{"code":4,"msg":30,"data":31},"ok",{"site_id":24,"language":23,"slug":32,"title":13,"keywords":33,"description":14,"schema_data":34,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":27},"investigating-the-security-issues-of-iot-devices-using-machine-learning-techniques-thesis","",{"@graph":35,"@context":85},[36,53,68],{"@type":37,"itemListElement":38},"BreadcrumbList",[39,43,47,50],{"item":40,"name":41,"@type":42,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":44,"name":45,"@type":42,"position":46},"https://docshare.wps.com/document/","Document",2,{"item":48,"name":12,"@type":42,"position":49},"https://docshare.wps.com/document/research-report/",3,{"item":51,"name":13,"@type":42,"position":52},"https://docshare.wps.com/document/investigating-the-security-issues-of-iot-devices-using-machine-learning-techniques-thesis/117261/",4,{"url":51,"name":13,"@type":54,"author":55,"headline":13,"publisher":57,"fileFormat":60,"inLanguage":23,"description":14,"dateModified":61,"datePublished":62,"encodingFormat":60,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":56},"Person",{"url":40,"name":58,"@type":59},"DocShare","Organization","application/pdf","2026-08-05","2026-08-02",true,{"@type":65,"interactionType":66,"userInteractionCount":20},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"Why is multilayer IoT security increasingly vulnerable to attacks?","Question",{"text":75,"@type":76},"IoT integration across sectors increases exposure to sophisticated multilayer attacks that can compromise multiple security layers, leading to data loss and financial and personal information breaches.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"What limitations exist in prior multilayer IoT attack research?",{"text":80,"@type":76},"Prior work often relies on outdated datasets and focuses less on adaptive, dynamic methods that address multilayer vulnerabilities in realistic scenarios.",{"name":82,"@type":73,"acceptedAnswer":83},"What does the proposed SAIDS approach add to intrusion detection?",{"text":84,"@type":76},"SAIDS integrates efficient feature selection and weighting, normalisation and visualisation, and human-machine interaction to improve detection and identification of multilayer attacks using binary and multiclass 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