Build Secure IOT Solutions using Blockchain
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This document discusses using blockchain technology to build more secure Internet of Things (IoT) solutions. It begins by outlining some of the major security challenges facing IoT, including high-profile hacks that have impacted systems like HVAC and medical devices. It then provides an overview of blockchain technology, explaining how its distributed ledger model can replace middlemen and enable more open, trustworthy and secure digital record keeping through the use of techniques like smart contracts. The document presents several case studies of companies applying blockchain to improve IoT security for applications such as home rentals, solar energy tracking, and drone deliveries. It concludes by recommending some starting points for working with blockchain and IoT security, like the Ethereum platform.
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Build Secure IoT Solutions Using... Blockchain - Geeta Chauhan
This document discusses using blockchain technology to build more secure Internet of Things (IoT) solutions. It begins by outlining some of the major security challenges facing IoT, including high-profile hacks that have impacted systems like HVAC and medical devices. It then provides an overview of blockchain technology, explaining how its distributed ledger model can replace middlemen and enable more open, trustworthy and secure digital record keeping through techniques like smart contracts. The document presents several case studies of companies applying blockchain to improve IoT security for applications such as home rentals, solar energy tracking, and drone deliveries. It concludes by recommending some starting points for implementing blockchain-based IoT solutions using Ethereum smart contracts or IBM and Filament
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In Gartner’s “Hype Cycle for Emerging Technologies, 2015,” the Internet of Things and cryptocurrencies are both in the “Peak of Inflated Expectation” category, considered to be “world-changing technologies” that can change forever how we interact with things and money. How about joining both techs in the same use cases? Can you have secure IoT with the blockchain technology (the underlying tech of Bitcoin and other cryptocurrencies)? Attend this session to explore together the possibilities and see what’s real and what’s not worth a dime.
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Profiling PyTorch for Efficiency & Sustainability
From my talk at the Data & AI summit - latest update on the PyTorch Profiler and how you can use it for optimizations for efficiency. Talk also dives into the future and what we need to do together as an industry to move towards Sustainable AI
Building AI with Security Privacy in Mind
The document discusses building AI with security and privacy in mind. It covers privacy challenges in AI like tensions between data privacy and model training. It then discusses various privacy preserving machine learning techniques like homomorphic encryption, differential privacy, secure multi-party computation, on-device computation, and federated learning. The document provides examples of how each technique works. It concludes by discussing tools and techniques for starting a privacy journey in AI and provides resources to learn more.
Building AI with Security and Privacy in mind
The document discusses building AI with security and privacy in mind. It covers privacy challenges in AI like tensions between data privacy and model training. It then discusses various privacy preserving machine learning techniques like homomorphic encryption, differential privacy, secure multi-party computation, on-device computation, and federated learning. The document provides examples of how each technique works. It concludes by discussing tools and techniques for starting a privacy journey in AI and provides resources to learn more.
Scaling AI in production using PyTorch
Slides from my talk at MLOps World' 21
Deploying AI models in production and scaling the ML services is still a big challenge. In this talk we will cover details of how to deploy your AI models, best practices for the deployment scenarios, and techniques for performance optimization and scaling the ML services. Come join us to learn how you can jumpstart the journey of taking your PyTorch models from Research to production.
Building Interpretable & Secure AI Systems using PyTorch
Slides from my talk at Deep Learning World 2020. The talk covered use cases, special challenges and solutions for building Interpretable and Secure AI systems using Pytorch.
- Tools for building Interpretable models
- How to build secure, privacy preserving AI models with Pytorch
- Use cases and insights from the field
Future is private intel dev fest
Slides from Talk @ Intel IoT DevFest IV
With both Facebook and Google's recent shift in direction towards a "Future is Private" world, learn how you too can train and deploy your AI models in a privacy-preserving way, with Decentralized AI and a combination of AI and Blockchain. These techniques will become even more rampant as we move into a world where users will own their own data and companies will start using “ethically sourced data” and move towards a path for Ethical AI for the IoT space.
In this session, you will learn:
- Use cases for Decentralized AI, with combined benefits of AI + Blockchain for IoT applications
- Federated learning & related privacy-preserving AI model training techniques for IoT applications
- How to build Ethical AI solutions for IoT using these techniques
Decentralized AI Draper
Draper Accelerator Talk Slides - convering convergence of of AI and Blockchain and how it solves challenges for IoT, Ai@Edge and Data Ethics and User Data Monetization.
Decentralized AI: Convergence of AI + Blockchain
Santa Clara IoT Expo talk slides - convering convergence of of AI and Blockchain and how it solves challenges for IoT, Ai@Edge and Data Ethics and User Data Monetization
Decentralized AI: Convergence of Blockchain + AI
This document discusses the convergence of blockchain and AI through decentralized AI approaches. It outlines challenges with centralized AI models regarding privacy, influence, economics and transparency. Decentralized solutions proposed include federated learning, blockchain, homomorphic encryption, and data marketplaces. Blockchain provides an open, trustless network to replace centralized authorities and enable applications like data exchanges, AI marketplaces and distributed machine learning across devices. Overall the goal is to democratize AI and data through user ownership and control.
Decentralized AI: Convergence of Blockchain + AI
As we move into the world where User's will own their own data, and companies will use "Ethically Sourced Data", there will be a rampant need for Decentralized AI. And, combining with Blockchain one gets viable Business Models. This talk covers use cases for convergence of Blockchain and AI.
Deep learning for medical imaging
Talk @ ACM SF Bayarea Chapter on Deep Learning for medical imaging space.
The talk covers use cases, special challenges and solutions for Deep Learning for Medical Image Analysis using Tensorflow+Keras. You will learn about:
- Use cases for Deep Learning in Medical Image Analysis
- Different DNN architectures used for Medical Image Analysis
- Special purpose compute / accelerators for Deep Learning (in the Cloud / On-prem)
- How to parallelize your models for faster training of models and serving for inferenceing.
- Optimization techniques to get the best performance from your cluster (like Kubernetes/ Apache Mesos / Spark)
- How to build an efficient Data Pipeline for Medical Image Analysis using Deep Learning
- Resources to jump start your journey - like public data sets, common models used in Medical Image Analysis
Deep learning for FinTech
The document discusses deep learning techniques for financial technology (FinTech) applications. It begins with examples of current deep learning uses in FinTech like trading algorithms, fraud detection, and personal finance assistants. It then covers topics like specialized compute hardware for deep learning training and inference, optimization techniques for CPUs and GPUs, and distributed training approaches. Finally, it discusses emerging areas like FPGA and quantum computing and provides resources for practitioners to start with deep learning for FinTech.
NIPS - Deep learning @ Edge using Intel's NCS
The document discusses using Intel's Neural Compute Stick for deep learning at the edge. It introduces the Neural Compute Stick, which enables computer vision and AI capabilities in small, low power devices. It then provides an overview of deep learning and discusses how to build IoT applications using the Neural Compute Stick SDK. Examples of use cases for edge intelligence in IoT are also presented.
Best Practices for On-Demand HPC in Enterprises
Traditionally HPC has been popular in Scientific domains, but not in most other Enterprises. With the advent of on-demand-HPC in cloud and growing adoption of Deep Learning, HPC should now be a standard platform for any Enterprise leading with AI and Machine Learning. This session will cover the best practices for building your own on-demand HPC cluster for Enterprise workloads along with key use cases where Enterprises will benefit from HPC solution.
Deep learning @ Edge using Intel's Neural Compute Stick
Talk @ Intel Global IoT DevFest, Nov 2017
The new generation of hardware accelerators are enabling rich AI driven, Intelligent IoT solutions @ the edge.
The talk showcased how to use Intel's latest Nervana Compute Stick for accelerating deep learning IoT solutions. It also covered use cases and code details for running Deep Learning models on Intel's Nervana Compute Stick.
Distributed deep learning optimizations for Finance
Talk @ Global AI Conference 2017, New York. Covers Deep Learning use cases for Finance and how to do distributed deep learning optimizations
Distributed deep learning optimizations - AI WithTheBest
Learn how to optimize Tensorflow for your Intel CPU and techniques for distributed deep learning for both model training and inferencing. Talk @ AI WithTheBest
Distributed deep learning optimizations
The document discusses optimizations for distributed deep learning. It covers challenges like latency, cost and power consumption when scaling deep learning models. It then discusses specialized compute like Google TPUs and optimizations for CPU, GPU and inference workloads. Techniques like data parallelism, model parallelism, quantization and clustering are presented. Emerging areas like FPGA, neuromorphic and quantum computing are also mentioned.
Tensorflow IoT - 1 Wk coding challenge
One week coding challenge to build your own personalized deep learning IoT app. Talk @ SF Bayarea Machine Learning meeting, Jun 28th 2017
Intel optimized tensorflow, distributed deep learning
This document discusses optimizations for running TensorFlow on Intel CPUs for deep learning. It outlines techniques for compiling TensorFlow from source with CPU optimizations, using proper data formats and batch sizes, and reading data with queues to leverage multi-core CPUs. It also covers distributed deep learning using TensorFlow Estimators, parameter servers, and model parallelism to distribute graphs across multiple machines. Resources for further information on Intel optimizations, installing libraries, and distributed TensorFlow are provided.
More from geetachauhan (20)
Building Interpretable & Secure AI Systems using PyTorch
Building Interpretable & Secure AI Systems using PyTorch
Deep learning @ Edge using Intel's Neural Compute Stick
Deep learning @ Edge using Intel's Neural Compute Stick
Distributed deep learning optimizations for Finance
Distributed deep learning optimizations for Finance
Distributed deep learning optimizations - AI WithTheBest
Distributed deep learning optimizations - AI WithTheBest
Intel optimized tensorflow, distributed deep learning
Intel optimized tensorflow, distributed deep learning
Recently uploaded
Main news related to the CCS TSI 2023 (2023/1695)
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
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)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
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?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
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?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Northern Engraving | Nameplate Manufacturing Process - 2024
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
Introduction of Cybersecurity with OSS at Code Europe 2024
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
"$10 thousand per minute of downtime: architecture, queues, streaming and fin...
Direct losses from downtime in 1 minute = $5-$10 thousand dollars. Reputation is priceless.
As part of the talk, we will consider the architectural strategies necessary for the development of highly loaded fintech solutions. We will focus on using queues and streaming to efficiently work and manage large amounts of data in real-time and to minimize latency.
We will focus special attention on the architectural patterns used in the design of the fintech system, microservices and event-driven architecture, which ensure scalability, fault tolerance, and consistency of the entire system.
Fueling AI with Great Data with Airbyte Webinar
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
5th LF Energy Power Grid Model Meet-up Slides
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...Edge AI and Vision Alliance
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.A Deep Dive into ScyllaDB's Architecture
This talk will cover ScyllaDB Architecture from the cluster-level view and zoom in on data distribution and internal node architecture. In the process, we will learn the secret sauce used to get ScyllaDB's high availability and superior performance. We will also touch on the upcoming changes to ScyllaDB architecture, moving to strongly consistent metadata and tablets.
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...
This LF Energy webinar took place June 20, 2024. It featured:
-Alex Thornton, LF Energy
-Hallie Cramer, Google
-Daniel Roesler, UtilityAPI
-Henry Richardson, WattTime
In response to the urgency and scale required to effectively address climate change, open source solutions offer significant potential for driving innovation and progress. Currently, there is a growing demand for standardization and interoperability in energy data and modeling. Open source standards and specifications within the energy sector can also alleviate challenges associated with data fragmentation, transparency, and accessibility. At the same time, it is crucial to consider privacy and security concerns throughout the development of open source platforms.
This webinar will delve into the motivations behind establishing LF Energy’s Carbon Data Specification Consortium. It will provide an overview of the draft specifications and the ongoing progress made by the respective working groups.
Three primary specifications will be discussed:
-Discovery and client registration, emphasizing transparent processes and secure and private access
-Customer data, centering around customer tariffs, bills, energy usage, and full consumption disclosure
-Power systems data, focusing on grid data, inclusive of transmission and distribution networks, generation, intergrid power flows, and market settlement data
Apps Break Data
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
Essentials of Automations: Exploring Attributes & Automation Parameters
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
Columbus Data & Analytics Wednesdays - June 2024
Columbus Data & Analytics Wednesdays, June 2024 with Maria Copot 20
Must Know Postgres Extension for DBA and Developer during Migration
Mydbops Opensource Database Meetup 16
Topic: Must-Know PostgreSQL Extensions for Developers and DBAs During Migration
Speaker: Deepak Mahto, Founder of DataCloudGaze Consulting
Date & Time: 8th June | 10 AM - 1 PM IST
Venue: Bangalore International Centre, Bangalore
Abstract: Discover how PostgreSQL extensions can be your secret weapon! This talk explores how key extensions enhance database capabilities and streamline the migration process for users moving from other relational databases like Oracle.
Key Takeaways:
* Learn about crucial extensions like oracle_fdw, pgtt, and pg_audit that ease migration complexities.
* Gain valuable strategies for implementing these extensions in PostgreSQL to achieve license freedom.
* Discover how these key extensions can empower both developers and DBAs during the migration process.
* Don't miss this chance to gain practical knowledge from an industry expert and stay updated on the latest open-source database trends.
Mydbops Managed Services specializes in taking the pain out of database management while optimizing performance. Since 2015, we have been providing top-notch support and assistance for the top three open-source databases: MySQL, MongoDB, and PostgreSQL.
Our team offers a wide range of services, including assistance, support, consulting, 24/7 operations, and expertise in all relevant technologies. We help organizations improve their database's performance, scalability, efficiency, and availability.
Contact us: info@mydbops.com
Visit: https://www.mydbops.com/
Follow us on LinkedIn: https://in.linkedin.com/company/mydbops
For more details and updates, please follow up the below links.
Meetup Page : https://www.meetup.com/mydbops-databa...
Twitter: https://twitter.com/mydbopsofficial
Blogs: https://www.mydbops.com/blog/
Facebook(Meta): https://www.facebook.com/mydbops/
"Scaling RAG Applications to serve millions of users", Kevin Goedecke
How we managed to grow and scale a RAG application from zero to thousands of users in 7 months. Lessons from technical challenges around managing high load for LLMs, RAGs and Vector databases.
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
Recently uploaded (20)
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Northern Engraving | Nameplate Manufacturing Process - 2024
Northern Engraving | Nameplate Manufacturing Process - 2024
Introduction of Cybersecurity with OSS at Code Europe 2024
Introduction of Cybersecurity with OSS at Code Europe 2024
"$10 thousand per minute of downtime: architecture, queues, streaming and fin...
"$10 thousand per minute of downtime: architecture, queues, streaming and fin...
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
Overcoming the PLG Trap: Lessons from Canva's Head of Sales & Head of EMEA Da...
Overcoming the PLG Trap: Lessons from Canva's Head of Sales & Head of EMEA Da...
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...
Essentials of Automations: Exploring Attributes & Automation Parameters
Essentials of Automations: Exploring Attributes & Automation Parameters
Must Know Postgres Extension for DBA and Developer during Migration
Must Know Postgres Extension for DBA and Developer during Migration
"Scaling RAG Applications to serve millions of users", Kevin Goedecke
"Scaling RAG Applications to serve millions of users", Kevin Goedecke
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
Build Secure IOT Solutions using Blockchain
- 1. Build Secure IoT solutions Using… Blockchain October, 2016 Geeta Chauhan
- 2. Agenda • IoT - rising security attack surface • Blockchain to rescue • Case Studies • Where to start?
- 3. IoT Security Challenges • Straight out of a James Bond movie plot • Target – HVAC, POS security breach Cost ~$300 Million • Gartner 5.5 Million Devices Connected per day • Hacking via Baby monitoring • Car brought to halt on freeway • Insulin pump hacked with deadly dose release
- 4. What is Blockchain? • An Immutable record of digital events shared peer to peer between different parties • Distributed Ledger • Open + Trust + Secure • Replaces MIDDLEMAN • Bitcoin Smart Contracts DApps, DAOs Source: Economist.com
- 5. Blockchain + IoT => Secure IoT • Secure Identity • Transparency • Smart Contracts • Decentralized Source: IBM.com
- 6. Use Cases • Slock.it – Secure Airbnb • ElectricChain.org Solar electricity generation data • Drone delivery for medicines via secure window • Food safety enforcement Sensors + GPS Source: Slock.it
- 7. Smart Contract • Self-enforcing programmatic contracts • EtherScripter: Timed house rental
- 8. ElectriCChain.org • 7 Million • Solar electricity generation data • Open Source • SolarCoin Source: ElectriCChain.org
- 9. Where to start? • Ethereum Smart Contracts http://www.ethereum.org • IBM Watson IoT http://www.ibm.com/internet-of- things/iot-news/announcements/private-blockchain/ • Filament https://filament.com/technology/ For more details contact geeta@sustinnova.com
- 10. Questions