QR Codes and the Ushahidi Platform
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The document discusses using QR codes to provide information during crisis events and disaster scenarios. It proposes printing QR codes that can be scanned by smart devices to access instructions, messages, media or trigger processes related to marked-up objects and locations. The approach assumes the availability of smart devices, data connectivity, a portable printing device, and that security is not a concern. The document outlines potential uses such as coupling codes with objects to provide information, triggering remote or device processes, carrying device identification, and using codes for authentication or logistics/resource tracking.
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- Some proposed solutions discussed include consumer security indexes to help consumers identify more secure devices, on-demand security configurations to enable security functions when needed, and information sharing systems to collect and analyze security-related information.
- Other proposals examined are using blockchain technology, intelligent monitoring systems in vehicles, physical unclonable functions for authentication, and remote security management servers to improve IoT device security
Muhammad's Presentation.pptx
The document proposes a method for text based digital image security verification using digital signature, machine learning and 2D barcodes. It discusses converting images to pixels, encrypting with RSA, generating QR codes, comparing hashes, and using OpenCV to highlight differences between original and received images. The method aims to enhance authenticity and integrity verification of text based digital images by detecting tampering and modifications. It outlines the research objectives, methodology, and tools used, and claims the approach accurately detects tampering by displaying structural similarity and highlighting modified areas between images.
IJERD (www.ijerd.com) International Journal of Engineering Research and Devel...
The document discusses privacy issues in cloud computing. It defines privacy and describes privacy enhancing technologies (PETs) that can help protect privacy, such as pseudonymization and federated identity management. It also discusses privacy by design, which aims to embed privacy protections directly into technologies. Ensuring privacy in cloud computing requires measures like access controls, protecting against unauthorized access/copying of data, and specifying privacy controls in agreements. Overall privacy is a major challenge for cloud computing due to issues of data governance, security, and differing international regulations.
IRJET- A Survey on Object Detection using Deep Learning Techniques
1) The document discusses object detection and tracking using deep learning techniques such as convolutional neural networks, YOLO, and Single Shot Detector. It reviews literature on existing approaches and proposes a system for multi-purpose security applications using mobile camera detection.
2) Common object detection methods discussed are Faster R-CNN, YOLO, and Single Shot Detectors (SSDs). The proposed system would use these deep learning techniques for automated detection and tracking from mobile cameras.
3) Applications mentioned include surveillance, people counting, drowsiness detection, and more. The growth of mobile phones makes them suitable for real-time detection and tracking technologies.
Samsung knox security_solution_v1_10_0
Samsung KNOX is a mobile security solution designed to address challenges with securing enterprise data and applications on Android devices. It builds a hardware-rooted trusted execution environment using ARM TrustZone technology. KNOX establishes trust at startup through secure boot and signing of firmware components. It then maintains trust through runtime protections and proves trust with attestation. KNOX also provides enterprise applications and data protection with a secure workspace, device encryption, and device management utilities. The goal is to deliver a comprehensively secure and manageable mobile solution for enterprises.
ContentsMobile Forensic3Introduction3What It Is3How I.docx
Contents
Mobile Forensic 3
Introduction 3
What It Is 3
How It's Used 3
Steps in Mobile forensics 4
Seizure 4
Airplane mode 4
Phone jammer 4
Faraday bag 4
Acquisition 5
Examination and analysis 6
Invasive methods 6
Chip-off 6
Micro read 7
Case study 7
CSI wife killers case Ireland 7
Phone evidence settled the conviction of a liar and a wife-killer 7
Mobile records checking 8
Conclusion 9
References 10
Mobile Forensic
Introduction
Mobile forensics is obtaining information on a mobile device such as a smartphone or tablet. The technology has grown in sophistication, and it can be used to uncover hidden content on devices, including text messages, apps and wifi connections. Mobile forensics goes beyond mere wireless security breaches. Today's mobile forensic tools can uncover true digital evidence and unlock devices with few endpoints or no recovery partitions to access."
The importance of mobile forensics is rising in the connected world of today. Discover further regarding mobile forensics, its applications, and the significance and procedures of a mobile investigation with a strong forensic foundation in this course.What It Is
Mobile forensics is a digital forensics subfield that focuses well on data extraction from electronic origin. Recovery of evidence from portable digital devices such as tablets, smartwatches, and smartphones is the focus of mobile forensics. Mobile devices are used by numerous people these days, so it seems reasonable that they would hold a large quantity of evidence that might be helpful to investigators. These gadgets search for data and collect and transmit data (Moreb, 2022).
Mobile devices can reveal numerous important pieces of information, such as messages, GPS data, call logs, and internet search activity that discloses the owner's probable whereabouts anywhere at any given moment.How It's Used
The secret to gathering digital evidence is following forensically sound procedures, regardless of who utilizes mobile forensics or how it is applied. According to Duke University's Electronic Discovery Reference Model, the word "forensically sound" refers to "procedures employed for gathering electronic information in a way that assures it is "as originally discovered" and is dependable enough to be allowed into evidence."
This implies that mobile evidence is treated so that it will be admissible in court and that it is not compromised during the forensic procedure. The idea of being forensically sound is based on the fundamental idea that transportable evidence should be kept in the same condition as when it was first discovered.
A defined procedure that helps to guarantee law enforcement or anyone collecting the data follows best practices for doing so lies behind forensically sound mobile evidence collection. Let's examine those actions (
Kumar, 2021,p.102).
Steps in Mobile forensics
Seizure
The cornerstone of digital forensics is the principle that evid.
A Review Study on Secure Authentication in Mobile System
This document summarizes authentication techniques for mobile systems. It discusses single-factor and multi-factor authentication using passwords, tokens, and biometrics. It also reviews RFID authentication protocols like SRAC and ASRAC for secure and low-cost RFID systems. Public key cryptography models using elliptic curve cryptography are proposed for mobile security. Secure authentication provides benefits like protection, scalability, speed, and availability for mobile enterprises. Both encryption and authentication are needed but encryption requires more processing resources so should only be used for critical information.
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IRJET- Authendication Permission Granting Algorithm for Transaction of Sensit...
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2010-05 Real Business, Real Threats! Don't be an Unsuspecting Target
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ContentsMobile Forensic3Introduction3What It Is3How I.docx
A Review Study on Secure Authentication in Mobile System
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The Data Science for Social Good Fellows (dssg.io) collaborated with Ushahidi (Ushahidi.com)
Presented: August 20, 2013
Video - https://www.youtube.com/watch?v=4eK8HjVG2m0
Tool - http://dssg.ushahididev.com/
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Around the world citizens and organizations are using online reporting tools, including Ushahidi to tell their story, amplify and action responses. This is part 2 of a summary of mapping projects. More on our wiki - https://wiki.ushahidi.com/display/WIKI/Anti-Corruption+and+Transparency
Anti-Corruption Mapping (April 2013, part 1)
This document provides resources for learning about and engaging with Ushahidi, an open source platform for information collection, visualization, and interactive mapping. It lists Ushahidi's wiki, forums, blog, presentation documents, and contact information. Links are provided to learn more about Ushahidi's work on crowdsourcing crisis information and monitoring corruption and transparency issues.
Ushahdi 3.0 Design Framework
Ushahidi spoke with our community about how to make Ushahidi 3.0. We are building it with their input. Here are some of the original thoughts based on Community input from June - August 2013. There are updated wireframes available.
https://wiki.ushahidi.com/display/WIKI/Ushahidi+Platform%2C+v3.X
Around the Globe Corruption Mapping (part 2)
Around the Globe Corruption Mapping using Ushahidi and Crowdmap. (Part 2) Prepared for the 15th International Anti-Corruption Conference, Brasilia, Brazil. November 7, 2012. By Heather Leson
Around the Globe Corruption Mapping (part 1)
This document provides resources for learning more about Ushahidi, including links to their wiki, forums, blog, slideshare documents, and contact information. Users can access documentation, ask questions on forums, read blog posts, view presentations, and reach out to Ushahidi through the provided website and social media links.
Ushahidi Toolbox - Real-time Evaluation
This document provides a tool for real-time evaluation of a Ushahidi/Crowdmap platform implementation. It asks the user to evaluate whether the project is meeting its goals and objectives. It then prompts the user to identify which parts of the project are working well and need improvement in order to achieve the objectives. Finally, it guides the user to develop an action plan based on the findings of the evaluation to improve the project.
Ushahidi Toolbox - Implementation
The Kenya Ushahidi Evaluation Project was 9-month Ushahidi evaluation project in partnership with the Harvard Humanitarian Initiative supported by the Knight Foundation. Jennifer Chan and Melissa Tully conducted research which lead to the creation of case studies and toolboxes. (2011) This is Toolbox #2: Implementation.
Ushahidi Toolbox - Assessment
The Kenya Ushahidi Evaluation Project was 9-month Ushahidi evaluation project in partnership with the Harvard Humanitarian Initiative supported by the Knight Foundation. Jennifer Chan and Melissa Tully conducted research which lead to the creation of case studies and toolboxes. (2011) This is Toolbox #1: Assessment.
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The Kenya Ushahidi Evaluation Project was 9-month Ushahidi evaluation project in partnership with the Harvard Humanitarian Initiative supported by the Knight Foundation. Jennifer Chan and Melissa Tully conducted research, created case studies and toolboxes. (2011) The Unsung Peace Heros/Building Bridges Case Study was created by Melissa Tully.
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The Kenya Ushahidi Evaluation Project was 9-month Ushahidi evaluation project in partnership with the Harvard Humanitarian Initiative supported by the Knight Foundation. Jennifer Chan and Melissa Tully conducted research, created cases studies and toolboxes. (2011) The Uchaguzi Case Study was created by Jennifer Chan.
Kenya Ushahidi Evaluation: Blog Series
The Kenya Ushahidi Evaluation Project was 9-month Ushahidi Evaluation Project in partnership with the Harvard Humanitarian Initiative supported by the Knight Foundation. Jennifer Chan and Melissa Tully conducted research, created use cases and toolboxes. (2011) The following are blog posts about their work. (previously posted on blog.ushahidi.com)
Pivoting An African Open Source Project
This document discusses Pivot, an African open source project for crowdsourcing information filtering. It began as Ushahidi, a tool for collecting reports during crises. Pivot aims to filter real-time information crowdsourced from social media and the web using crowd collaboration. The challenges of making sense of large amounts of real-time data are addressed through filtering by the crowd, curating information, and annotating and verifying reports. Lessons learned include solving real problems, keeping software and products separate, and involving different types of contributors.
Ushahidi esri juliana
Ushahidi is open source software that allows for real-time crowdsourcing and mapping of information. It was originally developed in 2008 to map reports of violence in Kenya following post-election conflicts when traditional media failed. Ushahidi means "testimony" in Swahili and allows individuals to share stories by reporting incidents on a map. It has since been used for crisis response, election monitoring, community mapping and more. The platform lowers barriers for people to share information and their stories in real-time.
Ushahidi personas scenarios
Ushahidi is incorporating user feedback as we plan for our next stages of the software development.
Gabriel White of Small Surfaces has prepared these User Personas and Scenarios
Citizen pollution mapping made easy
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Presentation by Hao Xin, Executive Director of Green Zhejiang
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Map it, Change it
TedxSilkRoad presentation by Heather Leson on April 11, 2012 in Istanbul, Turkey.
This presentation featured a number of Ushahidi and Crowdmap deployments used for election monitoring, crisis response and civil society activities. The video will be available at a later date.
Map it, Make it, Hack it
Presented by Heather Leson @ Public Safety Canada, the Ontario Ministry of Community Safety and Correctional Services and the University of Toronto
Conference on Social Media for Emergency Management and Crisis Communications, held at the University of Toronto in downtown Toronto, March 29, 2012.
Re-imagining Citizen Engagement
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Webinar provided to the Urban Sustainability Director's Network (USDN)
By Heather Leson
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https://www.wask.co/ebooks/digital-marketing-trends-in-2024
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Webinar: Designing a schema for a Data Warehouse
Are you new to data warehouses (DWH)? Do you need to check whether your data warehouse follows the best practices for a good design? In both cases, this webinar is for you.
A data warehouse is a central relational database that contains all measurements about a business or an organisation. This data comes from a variety of heterogeneous data sources, which includes databases of any type that back the applications used by the company, data files exported by some applications, or APIs provided by internal or external services.
But designing a data warehouse correctly is a hard task, which requires gathering information about the business processes that need to be analysed in the first place. These processes must be translated into so-called star schemas, which means, denormalised databases where each table represents a dimension or facts.
We will discuss these topics:
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Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
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UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
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Choosing The Best AWS Service For Your Website + API.pptx
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Monitoring and Managing Anomaly Detection on OpenShift
Overview
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Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
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3. What is ArgoCD?
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5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
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8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
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12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
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QR Codes and the Ushahidi Platform
- 1. QR CODES IN CRISIS EVENTS Marking-Up Objects and Locations in Disaster Scenarios Presented by Jon Gosier @jongos @swiftriver
- 2. Quick Response for First Response Easy to integrate into a well-coordinated crowd-sourcing project Quick and effective way to augment participant experience Efficient
- 3. Assumptions Assumption #1 - Smart devices are available and in use. Assumption #2 - Data connectivity is available to smart devices. Assumption #3 - A printing device is available and portable. Assumption #4 - Security is not a concern.
- 4. Potential Uses Method #1 - Instructions, messages, or media can be coupled with objects Method #2 - Triggers a remote process (API call) Method #3 - Triggers a process on the device itself
- 5. Potential Uses Method #4 - Carry information about the device itself Method #5 - Authentication. Code can serve as an identification measure Method #6 - Logistics/Resource Allotment
- 7. QR CODES IN CRISIS EVENTS Marking-Up Objects and Locations in Disaster Scenarios Presented by Jon Gosier @jongos @swiftriver