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It defines required Windows 11 hardware specifications and the software stack centered on Anaconda Navigator, Jupyter Notebook, and Python 3.11.1. The guide lists installed Python libraries for data analysis and visualization and describes the Android Mischief Dataset, including the need to convert pcap files to CSV using Wireshark. It also outlines dataset preprocessing such as exploratory analysis and one-hot encoding, followed by model training and testing using Random Forest and Decision Tree classifiers.",{"@graph":69,"@context":123},[70,84,106],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/network-intrusion-detection-of-android-smartphones-configuration-manual-part-1-project-setup/291105/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/network-intrusion-detection-of-android-smartphones-configuration-manual-part-1-project-setup/291105.png","ImageObject",300,407,{"name":92,"@type":93},"Theodora","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-11-12","2026-09-17",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",13,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119],{"name":110,"@type":111,"acceptedAnswer":112},"What hardware and operating system are required for the project setup?","Question",{"text":113,"@type":114},"The handbook specifies Windows 11 with 16.0 GB RAM, an 11th Gen Intel Core i5-11320H processor, and 512 GB SSD storage, using a 64-bit x64-based system type.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"Which software environment is used to develop and run the project?",{"text":118,"@type":114},"It uses Anaconda Navigator with Jupyter Notebook and Python 3.11.1, describing installation on a Windows 11 machine and launching Jupyter Notebook from the navigator.",{"name":120,"@type":111,"acceptedAnswer":121},"How is the dataset prepared before model training?",{"text":122,"@type":114},"The Android Mischief Dataset is used and its pcap network files must be converted to CSV using Wireshark, since Python cannot process pcap directly. The handbook then covers exploratory data analysis and one-hot encoding.","https://schema.org",{"og:url":83,"og:type":125,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":127,"canonical":83},"index,follow",{"doc_id":129,"site_id":62},291105,1789643465,{"code":4,"msg":5,"data":132},{"doc_id":129,"user_id":133,"nickname":92,"user_avatar":134,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":44,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":130,"read_time":144,"preview_page_count":4},687197207919,"https://ap-avatar.wpscdn.com/avatar/a000253d6f5f7c60be?x-image-process=image/resize,m_fixed,w_180,h_180&k=1779446848396160552","Configuration Manual  \nMSc Research Project MSc Cybersecurity  \nSumit Kumar Student ID: X20258526  \nSchool of Computing National College of Ireland  \nSupervisor: Mr. Jawad Salahuddin  \nNational College of Ireland MSc Project Submission Sheet  \nStudent Name:  \nStudent ID:  \nSchool of Computing  \nSumit Kumar  \nX20258526  \nProgramme: MSc in Cybersecurity Year: 2022-2023  \nModule: MSc Research Project  \nLecturer: Mr. Jawad Salahuddin  \nSubmission  \nDue Date: 01-02-2023  \nProject Title: Network Intrusion Detection of Android Smartphones using Machine Learning and Ensemble Learning Techniques  \nWord Count: 909 Page Count: 7  \nI hereby certify that the information contained in this (my submission) is information pertaining to research I conducted for this project. All information other than my own contribution will be fully referenced and listed in the relevant bibliography section at the rear of the project.  \nALL internet material must be referenced in the bibliography section. Students are required to use the Referencing Standard specified in the report template. To use other author's written or electronic work is illegal (plagiarism) and may result in disciplinary action.  \nSignature: Sumit Kumar  \nDate: 01-02-2023  \nPLEASE READ THE FOLLOWING INSTRUCTIONS AND CHECKLIST  \n\n| Attach a completed copy of this sheet to each project (including multiple copies) | □ |\n| --- | --- |\n| Attach a Moodle submission receipt of the online project submission, to each project (including multiple copies) . | □ |\n| You must ensure that you retain a HARD COPY of the project, both for your own reference and in case a project is lost or mislaid. It is not sufficient to keep a copy on computer. | □ |\n\nAssignments that are submitted to the Programme Coordinator Office must be placed into the assignment box located outside the office.  \n\n| Office Use Only |  |\n| --- | --- |\n| Signature: |  |\n| Date: |  |\n| Penalty Applied (if applicable): |  |\n\nConfiguration Manual  \nSumit Kumar  \nStudent ID: X20258526  \n1 Introduction  \nThis configuration handbook contains the fundamental setup and equipment required to do this project work. This thesis intends to create a model that uses machine learning and ensemble learning algorithms to identify an intrusion specifically a remote access trojan (RAT) occurring on Android devices. The configuration handbook is crucial and will include all the necessary software, hardware and implementation techniques to develop this project.  \n2 Requirement of Hardware  \nOperating System: Windows 11  \nRAM: 16.0 GB  \nProcessor: 11th Gen Intel Core i5-11320H @ 3.20GHz 2.50 GHz  \nStorage: 512 GB SSD  \nSystem Type: 64-bit operating system, x64-based processor  \n3 Requirement of Software  \nAnaconda Navigator Jupyter Notebook Python 3.11.1  \nPython was the programming language used in this project, while Jupyter Notebook was the IDE chosen for the research. Several Python libraries were utilised for analysis and visualisation that will be explained below.  \nI used a comprehensive package called Anaconda Navigator that comes with Jupyter Notebook, and the necessary Python setup to run the code. I have installed Anaconda 64 Bit version on Windows 11 machine. After a successful installation, Jupyter Notebook needs tobe launched from the navigator. Anaconda can be downloaded and installed from below link.(Anaconda | Anaconda Distribution, no date)  \n[https://www.anaconda.com/products/distribution](https://www.anaconda.com/products/distribution)  \n4 Python Libraries Installed  \nThe following is a list of the Python libraries needed for the research that were installed in the environment using the import command:  \nNumPy: Array manipulation is done using the Python library NumPy, which stands for numerical Python.  \nPandas: Data analysis is possible with the Python package Pandas. For working with time series and numerical data, it provides a wide variety of data structures and techniques.  \nMatplotlib: A comprehensive tool for creating static, a","cbCaied3OnCSCESw","https://ap.wps.com/l/cbCaied3OnCSCESw","pdf",704885,"English","# 1 Introduction\n# 2 Requirement of Hardware\n# 3 Requirement of Software\n## 4 Python Libraries Installed\n## 5 Description of Dataset and Data preprocessing\n## 6 Model Training and Testing Summary","[{\"question\":\"What hardware and operating system are required for the project setup?\",\"answer\":\"The handbook specifies Windows 11 with 16.0 GB RAM, an 11th Gen Intel Core i5-11320H processor, and 512 GB SSD storage, using a 64-bit x64-based system type.\"},{\"question\":\"Which software environment is used to develop and run the project?\",\"answer\":\"It uses Anaconda Navigator with Jupyter Notebook and Python 3.11.1, describing installation on a Windows 11 machine and launching Jupyter Notebook from the navigator.\"},{\"question\":\"How is the dataset prepared before model training?\",\"answer\":\"The Android Mischief Dataset is used and its pcap network files must be converted to CSV using Wireshark, since Python cannot process pcap directly. The handbook then covers exploratory data analysis and one-hot encoding.\"}]","Network Intrusion Detection of Android Smartphones - Configuration Manual - Part 1 - Project Setup | PDF",23]