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    4. MALWARE OVERVIEW USING MACHINE LEARNING

    MALWARE OVERVIEW USING MACHINE LEARNING project in Python.

    Python project   Last updated on - August 11, 2020
    malware overview machine-learning python most-searched-projects top-projects
    Alfa Hack
    Alfa Hack
    python Cyber Security Ethical Hacking IOT C 
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    151 Downloads
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    In this page MALWARE OVERVIEW USING MACHINE LEARNING project is a desktop application which is developed in Python platform. This Python project with tutorial and guide for developing a code. MALWARE OVERVIEW USING MACHINE LEARNING is a open source you can Download zip and edit as per you need. If you want more latest Python projects here. This is simple and basic level small project for learning purpose. Also you can modified this system as per your requriments and develop a perfect advance level project. This project can edit using a JUPYTER NOTEBOOK, python idle IDE. Following Python project contains all the important features which can be in use for the BE, BTech, MCA, BCA, Engineering, Bs.CS, IT, Software Engineering, Computer Science students and Devloper for their college projects. This script developed by Alfa Hack. This desktop application 100% working smooth without any bug. It is developed using Python Machine Learning and Database Local storage. This software code helpful in academic projects and research paper for final year computer science. To download MALWARE OVERVIEW USING MACHINE LEARNING project in Python with source code files, please scroll down to the bottom of this page for the Download Zip file of source code button.

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    About project

    project Name

    MALWARE OVERVIEW USING MACHINE LEARNING

    Project Complexityadvanced
    Duration15 Days
    project ID3921
    Developer NameAlfa Hack
    Publish DateAugust 11, 2020
    project PlatformPython
    Programming LanguageFor this particular Python project, Python Machine Learning is required
    Front EndGUI for desktop apps PyQT, Tkinter, Kivy, wxPython, Bottle/ Web apps - HTML, CSS, JS, Bootstrap
    Back EndPython, MySQL, Oracle, MariaDB, PostgreSQL, MongoDB, Microsoft SQL Server
    IDE ToolJUPYTER NOTEBOOK, python idle
    Database IntegrationLocal storage
    project Typedesktop Application
    No of project Download151
    project Total View3213
    Today Trends293
    Current Month Trends321
    Last Month Trends44

    You have any error or you don't understand project follow or any other problem.You can ask question. you know any answer or solution then give a answer and help other student.Complete they project perfectly.

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    File size 0.0464 MB

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    File size 4.4768 MB

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    Download Diagrams :
    Class Diagrams
    Use Case Diagrams
    Entity–relationship(ER) Diagrams
    DFD Diagrams
    Sequence Diagrams

    Features of the MALWARE OVERVIEW USING MACHINE LEARNING project

    We will implement the following feature in the Python MALWARE OVERVIEW USING MACHINE LEARNING Project:
    Malware detection is an important factor in the security of the computer systems. However, currently utilized signature-based methods cannot provide accurate detection of zero-day attacks and polymorphic viruses. That is why the need for machine learning-based detection arises. The purpose of this work was to determine the best feature extraction, feature representation, and classification methods that result in the best accuracy when used on the top of Cuckoo Sandbox. Specifically, k-Nearest-Neighbors, Decision Trees, Support Vector Machines, Naive Bayes and Random Forest classifiers were evaluated. This work presents recommended methods for machine learning based malware classification and detection, as well as the guidelines for its implementation. Moreover, the study performed can be useful as a base for further research in the field of malware analysis with machine learning methods.

    User modules and function of MALWARE OVERVIEW USING MACHINE LEARNING

    We will implement the following functionalities in the Python MALWARE OVERVIEW USING MACHINE LEARNING Project:

    Software requirement to run this project

    Install latest Python for Windows / Mac / Linux. IDE for python : PyCharm, Visual Studio Code, Sublime Text, Spyder, Thonny, Atom, IDLE, Emacs, Jupyter, PyDev, Vim, Visual Studio, Eclipse, PyDev, Eric, Code editing, PyScripter DBMS : MySQL, Oracle, MariaDB, PostgreSQL, MongoDB, Microsoft SQL Server As per Project requriments.

    Hardware requirement to run this project

    1. laptop/desktop. 2. minimum 8GB RAM. 3. minimum 250GB SDD for high preforms.

    How to install the project?

    After you finish downloading the project, unzip the project file.

    We need python idle to import the code

    How to import database?

    we need to install dependencies through pip command in cmd

    Why a download MALWARE OVERVIEW USING MACHINE LEARNING project from kashipara?

    Downloading the MALWARE OVERVIEW USING MACHINE LEARNING project from Kashipara is a best choice for students, beginners, and developers looking for a reliable, well documented, and ready to use project in Python.

    Top benifit to Download our project over other website:

    • Our MALWARE OVERVIEW USING MACHINE LEARNING Source Code in Python completly working. This project easy to understand and fully customizable as per your requriments.
    • Free Download our MALWARE OVERVIEW USING MACHINE LEARNING projects.
    • Comprehensive Documentation:
      • We provide project Synopsis
      • MALWARE OVERVIEW USING MACHINE LEARNING project Abstract in PDF and PPT formats download in reports.
      • Detailed Project Report
    • UML & Technical Diagrams Included:
    • This project Ideal for Academic Projects Perfect for B.E., B.Tech, MCA, BCA, BSc CS, and IT students
    • 100% Working Project – Tested and bug free.
    • Developed for Learning & Research – A strong foundation for building advanced MALWARE OVERVIEW USING MACHINE LEARNING applications

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    How to create diagram?

    Creating diagrams like Class Diagrams, Use Case Diagrams, Entity–Relationship (ER) Diagrams, Data Flow Diagrams (DFD), and Sequence Diagrams is essential for designing and understanding software systems. Here’s a proper guide to help you get started with each type:

    Download Diagrams :
    Format Of Report
    Class Diagrams
    Use Case Diagrams
    Entity–relationship(ER) Diagrams
    DFD Diagrams
    Sequence Diagrams

    MALWARE OVERVIEW USING MACHINE LEARNING project output screen

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