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3) Testing involves capturing images using a webcam in real-time, then preprocessing the images and running them through the trained neural network model to predict the digit. The model achieved high accuracy after training on large datasets.
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This document presents a license plate recognition system using OpenCV and Python. The system takes an image as input, pre-processes it by converting it to grayscale and applying thresholding. It then localizes the license plate using contour detection and extracts the plate. The characters on the plate are segmented and recognized using KNN algorithm. The system outputs the recognized characters. It discusses existing license plate recognition methods and proposes this system to address challenges with Indian license plates like variations in fonts, sizes, and colors. The system achieves accurate localization and recognition of license plates.
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This document proposes an approach to automatically generate HTML code from mock-up images using machine learning techniques. The approach uses convolutional neural networks to analyze mock-up images and identify elements like buttons and text. A long short-term memory network is then used to generate HTML code structured according to the website page hierarchy. The networks are trained on a dataset of mock-up images and corresponding HTML code. The goal is to reduce the time and costs required for developers to manually convert mock-ups into code.
HANDWRITTEN DIGIT RECOGNITION USING MACHINE LEARNINGIRJET Journal
1) The document discusses a study on handwritten digit recognition using machine learning. It reviews various digit recognition methods and analyzes an integrated system that achieved a minimum error rate of 0.32%.
2) The study uses a neural network model to recognize handwritten digits. It trains the model on over 60,000 images from MNIST and custom datasets.
3) Testing involves capturing images using a webcam in real-time, then preprocessing the images and running them through the trained neural network model to predict the digit. The model achieved high accuracy after training on large datasets.
HANDWRITTEN DIGIT RECOGNITION USING MACHINE LEARNINGIRJET Journal
This document summarizes a research paper on handwritten digit recognition using machine learning. The researchers trained a neural network model on over 60,000 images to recognize handwritten digits. The model was trained using two databases - the MNIST database and a self-collected database. It was tested on real-time images captured by a webcam. After training and testing, the integrated system achieved a minimum error rate of 0.32% in recognizing handwritten digits. The document also discusses the image processing techniques used in training and testing the model as well as the neural network architecture.
This document contains a summary of Andiappan AR's professional experience and skills. He has over 4 years of experience developing web applications using Microsoft technologies like C#, ASP.Net MVC, and SQL. Some of the projects he has worked on include migrating a Sitecore site from version 6.5 to 8.1, developing an email signup system using ASP.Net WEB API and Tridion, and globalizing a product information management web UI using ASP.Net MVC and jQuery. He is proficient with technologies like .NET, ASP.NET MVC, jQuery, JavaScript, and SQL.
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AppalaNaidu Kondala is seeking a software engineering position utilizing his 4+ years of experience developing web and Windows applications using .NET technologies like ASP.NET, C#, VB.NET, SQL Server, and AJAX. He has expertise in n-tier architectures, stored procedures, joins and triggers. Notable projects include an insurance error detection portal, a social media profile builder, and a website builder. He is proficient in technologies like WPF, web services and 3rd party controls. AppalaNaidu has a MCA and seeks to contribute his skills to innovative projects using cutting edge technologies.
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Photo Editing And Sharing Web Application With AI- Assisted FeaturesIRJET Journal
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This document presents a project to develop a web application for real-time moving object detection for both day and night surveillance using artificial intelligence. The application can detect objects in images, videos, and real-time video streams from a user's device. It implements computer vision techniques using OpenCV for image processing. A YOLOv4 deep learning model is trained on a dataset containing dark images to enable nighttime object detection. The trained model is deployed as a web app using Streamlit and hosted on Heroku to be accessible across different devices and operating systems. The project aims to provide a solution for various object detection and image processing tasks.
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Qiang Yu is a software engineer with over 13 years of experience developing embedded real-time systems using C/C++. He has worked across several sectors including data storage, railway, security, oil and gas, and IoT. His specialties include agile development, architecture design, C/C++, Linux, networking, and wireless technologies. Recent roles include developing frameworks for oil and gas tools at Schlumberger, low power wireless communications for well monitoring at Expro, and railway signaling simulation and modeling at Atkins.
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This document summarizes Shirish Jadav's B-Tech project involving internships at two startups - Aspirations and Transpose. At Aspirations, Shirish tested APIs for cloud storage, online gaming rooms and basic camera motions in a bike racing game. At Transpose, Shirish built hardware with a Raspberry Pi to capture traffic video data using a camera, process it to count vehicles, and send the data to a server. The projects helped Shirish gain experience with game development, hardware prototyping, and communicating across disciplines.
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This document discusses integrating machine learning pipelines with continuous integration and continuous deployment (CI/CD) tools to automate machine learning workflows. It proposes using DevOps tools like Jenkins, Docker, and GitHub to build a CI/CD pipeline for machine learning. The pipeline would include steps for data preprocessing, model training, evaluation, and deployment. Continuous integration would involve regular code updates and testing. Continuous deployment would push trained models to production for monitoring. The goal is to reduce costs and resources needed for machine learning projects through automation with DevOps practices like CI/CD.
1. The document is a resume for Salma Allabakash summarizing her work experience and qualifications.
2. She has over 2.5 years of experience in software development using technologies like ASP.NET, C#, SQL Server, JavaScript and has worked on projects in various domains.
3. Some of the key projects mentioned are Automated Forms, MOQ, All Orgs Discrete Jobs, eMRP and Critical Path where she was involved in developing modules, analyzing data, and generating reports.
IRJET- Design Automation of Cam Lobe Modeling in Creo using C#IRJET Journal
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MAGE PROCESSING BASED BILLING STRUCTURE USING EDGE COMPUTING AND REACTJSIRJET Journal
This document summarizes a research paper that proposes an image processing-based billing system using edge computing. The system uses a machine learning model trained on images of products to identify products captured by a smartphone camera. When a product's image is taken, the model identifies it and adds it to the bill. The system was developed as a responsive web application. It aims to provide a more accurate and automated billing solution for small shops compared to manual billing. The model was trained on Google Collab and achieves 90% accuracy in identifying different sizes of the same product.
- Amaravarman J has over 5 years of experience as a software engineer and tester with expertise in automation testing using Selenium, Java, and other tools. He is seeking a challenging position where he can continue learning and advancing his career.
- He has worked on automation testing projects for clients like British Telecom and Motorola Solutions, developing test scripts and cases for web and mobile applications.
- Currently a test lead at IVTL Infoview Technologies, he manages a team testing an AI-powered ERP system, delivering bug-free code and maintaining high standards.
- Supriya Saha has over 7 years of experience developing software using technologies like C#, ASP.NET, SQL Server, and Azure. She is currently working as a lead engineer at HCL America Inc. on projects for Microsoft.
- Some of her projects include developing fraud detection tools for Microsoft's e-commerce transactions and a Windows Phone app to view reports from these tools. She has experience designing databases, creating APIs, and implementing payment gateways.
- She is proficient in languages like C#, ASP.NET, and SQL and technologies like Azure, SSIS, SSRS, and has developed both web and mobile applications.
Vimala Gadegi is a Project Leader at Cyient with over 9 years of experience in information technology. She has extensive experience developing .NET applications using technologies like C#, ASP.NET, SQL Server, and JavaScript. Some of her responsibilities include project estimation, analysis, design, coding, testing, and managing project teams. She has led projects for clients in various domains including transportation, rail signaling, and engineering design automation.
IMAGE CAPTION GENERATOR USING DEEP LEARNINGIRJET Journal
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This document contains a summary of Stanly Jeba Singh's professional experience and qualifications. He has over 6 years of experience working as a software developer and specialist in companies like Wipro Technologies and ITC InfoTech. He has strong technical skills in .NET technologies like C#, ASP.NET, and SQL Server. He has worked on projects in various domains for clients in the US and other countries.
Web Development Using Cloud Computing and Payment GatewayIRJET Journal
This document summarizes a research paper on developing a website for an engineering company using cloud computing and a payment gateway. It discusses developing a website to showcase the company's products manufactured using CNC machines. The website allows customers to get instant answers from a chatbot, submit queries through an online form, and make online payments to purchase products. The website was created using HTML, CSS, Bootstrap, JavaScript, RazorPay for payments, and Firebase for cloud data storage. The system architecture and screenshots of the developed website are provided.
Deepcoder to Self-Code with Machine LearningIRJET Journal
The document discusses DeepCoder, a machine learning system developed by Microsoft that is able to generate its own code by learning from existing code examples. DeepCoder is trained on a large corpus of programs and input/output examples to learn which code snippets are likely to work together to solve new problems. It can then search through code more efficiently than humans to assemble working programs from existing code blocks. While currently limited to simple 5 line programs, DeepCoder represents a significant improvement over previous program synthesis techniques and could eventually make programming accessible to non-coders. However, some media reports exaggerated DeepCoder's capabilities and inaccurately claimed it works by copying code directly from other software.
Rohit Vijay Bapat's resume summarizes his education and professional experience in software development. He has a MS in Mechanical Engineering from Missouri University of Science and Technology and a BE in Mechanical Engineering from University of Pune. His experience includes roles at Tata Consultancy Services, Mindware Engineering, SigmaTEK Systems, and Vaal Triangle developing CAD/CAM and shopfloor software. He has strong skills in C++, C#, Delphi, and CAD tools like AutoCAD, ProE, and NX.
Online java compiler with security editorIRJET Journal
This document describes an online Java compiler with a security editor. The system allows users to write, compile, and debug Java programs online without needing to install a Java development kit locally. The system also includes a security editor that can encrypt and decrypt files using the MD5 algorithm. The goals of the project are to make Java programming more accessible and provide security for files. It uses a client-server architecture where the server runs the Java compiler and encryption/decryption and the client can access these features through a web interface.
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
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This study compares the use of Stark Steel and TMT Steel as reinforcement materials in a two-way reinforced concrete slab. Mechanical testing is conducted to determine the tensile strength, yield strength, and other properties of each material. A two-way slab design adhering to codes and standards is executed with both materials. The performance is analyzed in terms of deflection, stability under loads, and displacement. Cost analyses accounting for material, durability, maintenance, and life cycle costs are also conducted. The findings provide insights into the economic and structural implications of each material for reinforcement selection and recommendations on the most suitable material based on the analysis.
Effect of Camber and Angles of Attack on Airfoil CharacteristicsIRJET Journal
This document discusses a study analyzing the effect of camber, position of camber, and angle of attack on the aerodynamic characteristics of airfoils. Sixteen modified asymmetric NACA airfoils were analyzed using computational fluid dynamics (CFD) by varying the camber, camber position, and angle of attack. The results showed the relationship between these parameters and the lift coefficient, drag coefficient, and lift to drag ratio. This provides insight into how changes in airfoil geometry impact aerodynamic performance.
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...IRJET Journal
This document reviews the progress and challenges of aluminum-based metal matrix composites (MMCs), focusing on their fabrication processes and applications. It discusses how various aluminum MMCs have been developed using reinforcements like borides, carbides, oxides, and nitrides to improve mechanical and wear properties. These composites have gained prominence for their lightweight, high-strength and corrosion resistance properties. The document also examines recent advancements in fabrication techniques for aluminum MMCs and their growing applications in industries such as aerospace and automotive. However, it notes that challenges remain around issues like improper mixing of reinforcements and reducing reinforcement agglomeration.
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...IRJET Journal
This document discusses research on using graph neural networks (GNNs) for dynamic optimization of public transportation networks in real-time. GNNs represent transit networks as graphs with nodes as stops and edges as connections. The GNN model aims to optimize networks using real-time data on vehicle locations, arrival times, and passenger loads. This helps increase mobility, decrease traffic, and improve efficiency. The system continuously trains and infers to adapt to changing transit conditions, providing decision support tools. While research has focused on performance, more work is needed on security, socio-economic impacts, contextual generalization of models, continuous learning approaches, and effective real-time visualization.
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...IRJET Journal
This document summarizes a research project that aims to compare the structural performance of conventional slab and grid slab systems in multi-story buildings using ETABS software. The study will analyze both symmetric and asymmetric building models under various loading conditions. Parameters like deflections, moments, shears, and stresses will be examined to evaluate the structural effectiveness of each slab type. The results will provide insights into the comparative behavior of conventional and grid slabs to help engineers and architects select appropriate slab systems based on building layouts and design requirements.
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...IRJET Journal
This document summarizes and reviews a research paper on the seismic response of reinforced concrete (RC) structures with plan and vertical irregularities, with and without infill walls. It discusses how infill walls can improve or reduce the seismic performance of RC buildings, depending on factors like wall layout, height distribution, connection to the frame, and relative stiffness of walls and frames. The reviewed research paper analyzes the behavior of infill walls, effects of vertical irregularities, and seismic performance of high-rise structures under linear static and dynamic analysis. It studies response characteristics like story drift, deflection and shear. The document also provides literature on similar research investigating the effects of infill walls, soft stories, plan irregularities, and different
This document provides a review of machine learning techniques used in Advanced Driver Assistance Systems (ADAS). It begins with an abstract that summarizes key applications of machine learning in ADAS, including object detection, recognition, and decision-making. The introduction discusses the integration of machine learning in ADAS and how it is transforming vehicle safety. The literature review then examines several research papers on topics like lightweight deep learning models for object detection and lane detection models using image processing. It concludes by discussing challenges and opportunities in the field, such as improving algorithm robustness and adaptability.
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...IRJET Journal
The document analyzes temperature and precipitation trends in Asosa District, Benishangul Gumuz Region, Ethiopia from 1993 to 2022 based on data from the local meteorological station. The results show:
1) The average maximum and minimum annual temperatures have generally decreased over time, with maximum temperatures decreasing by a factor of -0.0341 and minimum by -0.0152.
2) Mann-Kendall tests found the decreasing temperature trends to be statistically significant for annual maximum temperatures but not for annual minimum temperatures.
3) Annual precipitation in Asosa District showed a statistically significant increasing trend.
The conclusions recommend development planners account for rising summer precipitation and declining temperatures in
P.E.B. Framed Structure Design and Analysis Using STAAD ProIRJET Journal
This document discusses the design and analysis of pre-engineered building (PEB) framed structures using STAAD Pro software. It provides an overview of PEBs, including that they are designed off-site with building trusses and beams produced in a factory. STAAD Pro is identified as a key tool for modeling, analyzing, and designing PEBs to ensure their performance and safety under various load scenarios. The document outlines modeling structural parts in STAAD Pro, evaluating structural reactions, assigning loads, and following international design codes and standards. In summary, STAAD Pro is used to design and analyze PEB framed structures to ensure safety and code compliance.
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...IRJET Journal
This document provides a review of research on innovative fiber integration methods for reinforcing concrete structures. It discusses studies that have explored using carbon fiber reinforced polymer (CFRP) composites with recycled plastic aggregates to develop more sustainable strengthening techniques. It also examines using ultra-high performance fiber reinforced concrete to improve shear strength in beams. Additional topics covered include the dynamic responses of FRP-strengthened beams under static and impact loads, and the performance of preloaded CFRP-strengthened fiber reinforced concrete beams. The review highlights the potential of fiber composites to enable more sustainable and resilient construction practices.
Survey Paper on Cloud-Based Secured Healthcare SystemIRJET Journal
This document summarizes a survey on securing patient healthcare data in cloud-based systems. It discusses using technologies like facial recognition, smart cards, and cloud computing combined with strong encryption to securely store patient data. The survey found that healthcare professionals believe digitizing patient records and storing them in a centralized cloud system would improve access during emergencies and enable more efficient care compared to paper-based systems. However, ensuring privacy and security of patient data is paramount as healthcare incorporates these digital technologies.
Review on studies and research on widening of existing concrete bridgesIRJET Journal
This document summarizes several studies that have been conducted on widening existing concrete bridges. It describes a study from China that examined load distribution factors for a bridge widened with composite steel-concrete girders. It also outlines challenges and solutions for widening a bridge in the UAE, including replacing bearings and stitching the new and existing structures. Additionally, it discusses two bridge widening projects in New Zealand that involved adding precast beams and stitching to connect structures. Finally, safety measures and challenges for strengthening a historic bridge in Switzerland under live traffic are presented.
React based fullstack edtech web applicationIRJET Journal
The document describes the architecture of an educational technology web application built using the MERN stack. It discusses the frontend developed with ReactJS, backend with NodeJS and ExpressJS, and MongoDB database. The frontend provides dynamic user interfaces, while the backend offers APIs for authentication, course management, and other functions. MongoDB enables flexible data storage. The architecture aims to provide a scalable, responsive platform for online learning.
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...IRJET Journal
This paper proposes integrating Internet of Things (IoT) and blockchain technologies to help implement objectives of India's National Education Policy (NEP) in the education sector. The paper discusses how blockchain could be used for secure student data management, credential verification, and decentralized learning platforms. IoT devices could create smart classrooms, automate attendance tracking, and enable real-time monitoring. Blockchain would ensure integrity of exam processes and resource allocation, while smart contracts automate agreements. The paper argues this integration has potential to revolutionize education by making it more secure, transparent and efficient, in alignment with NEP goals. However, challenges like infrastructure needs, data privacy, and collaborative efforts are also discussed.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.IRJET Journal
This document provides a review of research on the performance of coconut fibre reinforced concrete. It summarizes several studies that tested different volume fractions and lengths of coconut fibres in concrete mixtures with varying compressive strengths. The studies found that coconut fibre improved properties like tensile strength, toughness, crack resistance, and spalling resistance compared to plain concrete. Volume fractions of 2-5% and fibre lengths of 20-50mm produced the best results. The document concludes that using a 4-5% volume fraction of coconut fibres 30-40mm in length with M30-M60 grade concrete would provide benefits based on previous research.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...IRJET Journal
The document discusses optimizing business management processes through automation using Microsoft Power Automate and artificial intelligence. It provides an overview of Power Automate's key components and features for automating workflows across various apps and services. The document then presents several scenarios applying automation solutions to common business processes like data entry, monitoring, HR, finance, customer support, and more. It estimates the potential time and cost savings from implementing automation for each scenario. Finally, the conclusion emphasizes the transformative impact of AI and automation tools on business processes and the need for ongoing optimization.
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignIRJET Journal
The document describes the seismic design of a G+5 steel building frame located in Roorkee, India according to Indian codes IS 1893-2002 and IS 800. The frame was analyzed using the equivalent static load method and response spectrum method, and its response in terms of displacements and shear forces were compared. Based on the analysis, the frame was designed as a seismic-resistant steel structure according to IS 800:2007. The software STAAD Pro was used for the analysis and design.
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...IRJET Journal
This research paper explores using plastic waste as a sustainable and cost-effective construction material. The study focuses on manufacturing pavers and bricks using recycled plastic and partially replacing concrete with plastic alternatives. Initial results found that pavers and bricks made from recycled plastic demonstrate comparable strength and durability to traditional materials while providing environmental and cost benefits. Additionally, preliminary research indicates incorporating plastic waste as a partial concrete replacement significantly reduces construction costs without compromising structural integrity. The outcomes suggest adopting plastic waste in construction can address plastic pollution while optimizing costs, promoting more sustainable building practices.
Levelised Cost of Hydrogen (LCOH) Calculator ManualMassimo Talia
The aim of this manual is to explain the
methodology behind the Levelized Cost of
Hydrogen (LCOH) calculator. Moreover, this
manual also demonstrates how the calculator
can be used for estimating the expenses associated with hydrogen production in Europe
using low-temperature electrolysis considering different sources of electricity
Road construction is not as easy as it seems to be, it includes various steps and it starts with its designing and
structure including the traffic volume consideration. Then base layer is done by bulldozers and levelers and after
base surface coating has to be done. For giving road a smooth surface with flexibility, Asphalt concrete is used.
Asphalt requires an aggregate sub base material layer, and then a base layer to be put into first place. Asphalt road
construction is formulated to support the heavy traffic load and climatic conditions. It is 100% recyclable and
saving non renewable natural resources.
With the advancement of technology, Asphalt technology gives assurance about the good drainage system and with
skid resistance it can be used where safety is necessary such as outsidethe schools.
The largest use of Asphalt is for making asphalt concrete for road surfaces. It is widely used in airports around the
world due to the sturdiness and ability to be repaired quickly, it is widely used for runways dedicated to aircraft
landing and taking off. Asphalt is normally stored and transported at 150’C or 300’F temperature
Accident detection system project report.pdfKamal Acharya
The Rapid growth of technology and infrastructure has made our lives easier. The
advent of technology has also increased the traffic hazards and the road accidents take place
frequently which causes huge loss of life and property because of the poor emergency facilities.
Many lives could have been saved if emergency service could get accident information and
reach in time. Our project will provide an optimum solution to this draw back. A piezo electric
sensor can be used as a crash or rollover detector of the vehicle during and after a crash. With
signals from a piezo electric sensor, a severe accident can be recognized. According to this
project when a vehicle meets with an accident immediately piezo electric sensor will detect the
signal or if a car rolls over. Then with the help of GSM module and GPS module, the location
will be sent to the emergency contact. Then after conforming the location necessary action will
be taken. If the person meets with a small accident or if there is no serious threat to anyone’s
life, then the alert message can be terminated by the driver by a switch provided in order to
avoid wasting the valuable time of the medical rescue team.
Determination of Equivalent Circuit parameters and performance characteristic...pvpriya2
Includes the testing of induction motor to draw the circle diagram of induction motor with step wise procedure and calculation for the same. Also explains the working and application of Induction generator
Prediction of Electrical Energy Efficiency Using Information on Consumer's Ac...PriyankaKilaniya
Energy efficiency has been important since the latter part of the last century. The main object of this survey is to determine the energy efficiency knowledge among consumers. Two separate districts in Bangladesh are selected to conduct the survey on households and showrooms about the energy and seller also. The survey uses the data to find some regression equations from which it is easy to predict energy efficiency knowledge. The data is analyzed and calculated based on five important criteria. The initial target was to find some factors that help predict a person's energy efficiency knowledge. From the survey, it is found that the energy efficiency awareness among the people of our country is very low. Relationships between household energy use behaviors are estimated using a unique dataset of about 40 households and 20 showrooms in Bangladesh's Chapainawabganj and Bagerhat districts. Knowledge of energy consumption and energy efficiency technology options is found to be associated with household use of energy conservation practices. Household characteristics also influence household energy use behavior. Younger household cohorts are more likely to adopt energy-efficient technologies and energy conservation practices and place primary importance on energy saving for environmental reasons. Education also influences attitudes toward energy conservation in Bangladesh. Low-education households indicate they primarily save electricity for the environment while high-education households indicate they are motivated by environmental concerns.
Impartiality as per ISO /IEC 17025:2017 StandardMuhammadJazib15
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Null Bangalore | Pentesters Approach to AWS IAMDivyanshu
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)