This presentation was made during the Hackfest'2015 event, 11 and 12 April 2015 in Technopark Ghazella , Tunisia.
Presentation video : http://livestre.am/55ut5
Cybersecurity and the Role of Converged Infrastructure June 2016David Rubal, CISSP
1) Government agencies and industries are struggling to upgrade their IT infrastructures to handle the rapidly growing amounts of data, which increases their vulnerability to cybersecurity threats.
2) High-profile data breaches have highlighted the need for agencies to improve data protection. Converged infrastructure, which tightly integrates hardware and software, is emerging as an effective approach.
3) Oracle provides a converged infrastructure solution comprising engineered hardware and software. It argues this approach can help agencies better protect data during processing, computing and storage according to the NIST cybersecurity framework of identifying, protecting, detecting, responding to and recovering from threats.
The document discusses the intersection of cybersecurity and data management, with a focus on the data dependencies of the NIST Cybersecurity Framework. It describes how cybersecurity involves data protection, encryption, continuity of operations, and forensics/analytics. The NIST Cybersecurity Framework recommends a defense-in-depth strategy targeting data at all levels. Properly implementing the Cybersecurity Framework requires increasing data infrastructure capabilities across on-premise, private, hybrid, and public cloud environments.
The document discusses several topics related to software courses including ethical hacking, IoT, Python, and big data. Ethical hacking involves penetration testing to find security vulnerabilities without malicious intent. Python is a powerful, portable, and free programming language well-suited for tasks like data analysis. The Internet of Things connects physical devices to exchange data. Large amounts of data are being collected from various sources and require management and analysis techniques.
This document discusses the growth of the Internet of Things (IoT) and the rise of fog computing. It notes that:
- 50 billion devices are expected to be internet-connected by 2020, up from 12.5 billion in 2010, representing rapid growth.
- Most of the world's data is now being generated by IoT devices like sensors and smart objects, creating big data challenges.
- Fog computing is a new distributed computing model that processes data at the edge of the network, near the data sources, to help address these challenges. It extends cloud computing out to endpoints and access networks.
- Open source software will be important for fog computing and IoT, as it has been
Want to be part of the Internet of Things revolution then this session is for you, Microsoft Azure as a platform delivers the capabilities to enable your IoT solution from building blocks through to finished services. In this demonstration rich session you will learn about Microsoft’s position on IoT, and the technology and services being delivered from Microsoft to help you develop, connect, manage and unlock data insights
A Survey on Security and Privacy Issues in Edge Computing-Assisted Internet o...DESMOND YUEN
Internet of Things (IoT) is an innovative paradigm
envisioned to provide massive applications that are now part of
our daily lives. Millions of smart devices are deployed within
complex networks to provide vibrant functionalities including
communications, monitoring, and controlling of critical infrastructures. However, this massive growth of IoT devices and the corresponding huge data traffic generated at the edge of the network created additional burdens on the state-of-the-art
centralized cloud computing paradigm due to the bandwidth and
resources scarcity. Hence, edge computing (EC) is emerging as
an innovative strategy that brings data processing and storage
near to the end users, leading to what is called EC-assisted IoT.
Although this paradigm provides unique features and enhanced
quality of service (QoS), it also introduces huge risks in data security and privacy aspects. This paper conducts a comprehensive survey on security and privacy issues in the context of EC-assisted IoT. In particular, we first present an overview of EC-assisted IoT including definitions, applications, architecture, advantages, and challenges. Second, we define security and privacy in the context of EC-assisted IoT. Then, we extensively discuss the major classifications of attacks in EC-assisted IoT and provide possible solutions and countermeasures along with the related research efforts. After that, we further classify some security and privacy issues as discussed in the literature based on security services and based on security objectives and functions. Finally, several open challenges and future research directions for secure EC-assisted IoT paradigm are also extensively provided.
Cybersecurity and the Role of Converged Infrastructure June 2016David Rubal, CISSP
1) Government agencies and industries are struggling to upgrade their IT infrastructures to handle the rapidly growing amounts of data, which increases their vulnerability to cybersecurity threats.
2) High-profile data breaches have highlighted the need for agencies to improve data protection. Converged infrastructure, which tightly integrates hardware and software, is emerging as an effective approach.
3) Oracle provides a converged infrastructure solution comprising engineered hardware and software. It argues this approach can help agencies better protect data during processing, computing and storage according to the NIST cybersecurity framework of identifying, protecting, detecting, responding to and recovering from threats.
The document discusses the intersection of cybersecurity and data management, with a focus on the data dependencies of the NIST Cybersecurity Framework. It describes how cybersecurity involves data protection, encryption, continuity of operations, and forensics/analytics. The NIST Cybersecurity Framework recommends a defense-in-depth strategy targeting data at all levels. Properly implementing the Cybersecurity Framework requires increasing data infrastructure capabilities across on-premise, private, hybrid, and public cloud environments.
The document discusses several topics related to software courses including ethical hacking, IoT, Python, and big data. Ethical hacking involves penetration testing to find security vulnerabilities without malicious intent. Python is a powerful, portable, and free programming language well-suited for tasks like data analysis. The Internet of Things connects physical devices to exchange data. Large amounts of data are being collected from various sources and require management and analysis techniques.
This document discusses the growth of the Internet of Things (IoT) and the rise of fog computing. It notes that:
- 50 billion devices are expected to be internet-connected by 2020, up from 12.5 billion in 2010, representing rapid growth.
- Most of the world's data is now being generated by IoT devices like sensors and smart objects, creating big data challenges.
- Fog computing is a new distributed computing model that processes data at the edge of the network, near the data sources, to help address these challenges. It extends cloud computing out to endpoints and access networks.
- Open source software will be important for fog computing and IoT, as it has been
Want to be part of the Internet of Things revolution then this session is for you, Microsoft Azure as a platform delivers the capabilities to enable your IoT solution from building blocks through to finished services. In this demonstration rich session you will learn about Microsoft’s position on IoT, and the technology and services being delivered from Microsoft to help you develop, connect, manage and unlock data insights
A Survey on Security and Privacy Issues in Edge Computing-Assisted Internet o...DESMOND YUEN
Internet of Things (IoT) is an innovative paradigm
envisioned to provide massive applications that are now part of
our daily lives. Millions of smart devices are deployed within
complex networks to provide vibrant functionalities including
communications, monitoring, and controlling of critical infrastructures. However, this massive growth of IoT devices and the corresponding huge data traffic generated at the edge of the network created additional burdens on the state-of-the-art
centralized cloud computing paradigm due to the bandwidth and
resources scarcity. Hence, edge computing (EC) is emerging as
an innovative strategy that brings data processing and storage
near to the end users, leading to what is called EC-assisted IoT.
Although this paradigm provides unique features and enhanced
quality of service (QoS), it also introduces huge risks in data security and privacy aspects. This paper conducts a comprehensive survey on security and privacy issues in the context of EC-assisted IoT. In particular, we first present an overview of EC-assisted IoT including definitions, applications, architecture, advantages, and challenges. Second, we define security and privacy in the context of EC-assisted IoT. Then, we extensively discuss the major classifications of attacks in EC-assisted IoT and provide possible solutions and countermeasures along with the related research efforts. After that, we further classify some security and privacy issues as discussed in the literature based on security services and based on security objectives and functions. Finally, several open challenges and future research directions for secure EC-assisted IoT paradigm are also extensively provided.
IoT and the implications on business IT architecture and securityDeniseFerniza
The basics of IoT, the security issues both personal and within businesses. These slides cover the basics of what IT and Business professionals should know when considering working with Cloud Computing and IoT devices.
Employ the Cloud for Efficient Content Analytics - 10 november 2011Samir Batla
The document discusses using content analytics in the cloud. It notes that the volume of digital content is growing exponentially and dispersing across different sources. Content analytics can help analyze and extract insights from this large amount of unstructured data. The document recommends starting with a private cloud for content analytics, as it offers control and security, while also being cost-effective and flexible. A hybrid cloud model, combining private and public clouds, can then provide the best of both worlds for optimal content analytics. Latency remains a challenge for public clouds.
This document summarizes a cloud storage solution implemented using the OwnCloud application that includes an enhanced security algorithm called "The Mist". The Mist requires users to correctly answer one randomly selected security question out of three they created along with the correct answer selected from 50 choices within 16 seconds to gain access to their account. The solution was customized for and implemented at Southeastern University to provide secure cloud storage for the university using the latest enterprise-grade virtualization and server technologies.
Manage Risk By Protecting the Apps and Data InfographicCitrix
In today's security landscape, protecting apps and data should be top of mind for businesses. Our experts share their best practices for ensuring the protection of sensitive company information.
VMworld vBrownBag vmtn5534e - placement of iot workload operations within a c...Kenneth Moore
The Internet of Things (IoT) represents a disruptive technology that has the potential of changing the way we live in this world forever. Gartner predicts that by the end of 2020, there will be approx. 20 billion Internet-connected things, from smartwatches to smart offices generating traffic to communicate. Central to facilitating communication between these things are the Data-Center’s required to store and process the data that IoT devices will generate. The DC infrastructure facilitates applications such as analytics and customer-oriented applications allowing companies to extract value from data that is produced by IoT devices. While DCs provide an essential part of the jigsaw in supporting IoT, Gartner reported that current DC architectures are not prepared to deal with the scale, volume and heterogeneous nature of data that IoT will bring and will face as a result significant challenges in dealing with workload demands in terms of the storage, compute and network requirements to support IoT. Given this challenge, DCs in the future need to be designed and developed bearing IoT in mind. However, the design of a DC is a non-trivial task, and a thorough understanding of the workload demand of IoT applications is required to build a workload model that describes how the DC performs at its busiest time under load. Such models are essential to: design and optimise the management of resources in the DC; and facilitate performance analysis and simulation allowing DC providers to evaluate the impact that configuration changes have on QoS requirements.
The document discusses adding edge intelligence to Intel IoT gateways using the MIx Core platform. It defines the edge as the convergence of physical, security, connectivity, and data aspects where assets are located. The MIx Core platform integrates data streaming from sensors in real-time to enable preventative maintenance by detecting anomalies in vibration data from machines. This reduces equipment downtime and improves manufacturing performance.
The IoT.est project involves 8 partners from 7 countries to develop a test-driven service creation environment for Internet of Things enabled business services. The environment will allow acquisition of sensor and device data and control of actuators across domains. It will also facilitate run-time monitoring and autonomous service adaptation to changes in environment, context, and network parameters. The IoT.est architecture builds upon existing IoT platforms by providing common interfaces, resource control and management, security and privacy mechanisms, and discovery services.
GlobalSoft Technologies provides final year projects for engineering students related to cloud storage. They propose a new client-side data deduplication scheme for securely storing outsourced data in public clouds. The scheme encrypts each file with a unique key computed by the client, so that only the data owner can access it. It also integrates access rights in metadata, so authorized users can decrypt encrypted files only with their private key. The system is implemented on OpenStack Swift and uses Windows, Tomcat, HTML, Java, JavaScript, JSP, and MySQL.
ACT-IAC Rocky Mountain chapter - July 31 2014Rick Holgate
This document summarizes an event discussing advancing government through collaboration. It outlines the President's Management Agenda focusing on customer service, smarter IT delivery, and deploying a world-class workforce. It discusses perspectives from the Office of Management and Budget on viewing technology strategically and taking smart risks. Key initiatives to reform federal IT are outlined aiming to balance efficiency and effectiveness. The role of ACT-IAC in supporting smarter IT delivery through various frameworks and engagements is also summarized.
This document outlines several key challenges of cloud computing including information security, data piracy, interoperability between cloud services, migration into and out of cloud systems, compliance with regulations, and ensuring portability of data and services between different cloud providers. While cloud computing faces these challenges, the presentation notes it is still growing rapidly.
The document summarizes topics related to blockchain technology and healthcare, including:
1) It segments the blockchain space into cryptocurrency networks, corporate/consortium networks, decentralized technologies, and economic networks.
2) It outlines the blockchain-inspired technology landscape, including distributed ledgers, smart contracts, data meshes, and privacy/secret shares.
3) It proposes a decentralized healthcare framework but provides few details.
International Journal on Cloud Computing: Services and Architecture (IJCCSA)ijccsa
Cloud computing helps enterprises transform business and technology. Companies have begun to look for solutions that would help reduce their infrastructures costs and improve profitability. Cloud computing is becoming a foundation for benefits well beyond IT cost savings. Yet, many business leaders are concerned about cloud security, privacy, availability, and data protection. To discuss and address these issues, we invite researches who focus on cloud computing to shed more light on this emerging field.
This document provides an overview of Google Cloud Platform services for IoT and big data analytics, including fully managed ingestion, processing, and analysis of IoT data. It introduces Google Cloud Pub/Sub for messaging, Cloud Dataflow for stream and batch data processing, and BigQuery for petabyte-scale data warehousing and analysis. The presentation includes demos of building an event streaming pipeline using these services to ingest data from Pub/Sub, process it in Dataflow, and analyze results in BigQuery.
The National Security Agency's (NSA) surveillance system known as “PRISM” is not a surprise to most Information Technology Experts. In fact, many experts such as the companies (AOL Inc., Apple Inc., Facebook Inc., Google Inc., Microsoft Corp., Yahoo Inc., Skype, YouTube and Paltalk) who shared the information with NSA are trying very hard to mitigate the risks in securing this technology;
IoT Edge Intelligence - The need for new software development approachesBart Jonkers
CeBIT 2016 talk on "IoT Edge Intelligence - The need for new software development approaches".
In order to bridge the 'IoT skills gap' or solve the 'IT vs OT' divide, the IoT market needs to enable traditional IT developers to move into the OT (operational technology) world. In the OT world, devices, gateways and machines run embedded software on proprietary operating systems, using unfamiliar communications protocols in resource constraint environments. To enable a large community of developers to build intelligent IoT edge applications, abstraction from these domain specific technologies and complexities is required. Bitreactive offers visual developer tooling to highly simplify the application development on devices and the way edge devices integrate to IoT sensors, cloud services, analytics, visualization services etc.
(Some technologies supported: MQTT, AMQP, BLE, Zigbee, OPC-UA, Paho, Californium, Kura, Coap, JSON-RPC, LoRA, Bluetooth, IBM Bluemix, IBM IoT Foundation, Microsoft Azure, AWS, Oracle IoT Cloud Service, GE Predix, GE Predix machine, Xively, Solair, Geofencing, Modbus, GPIO, RaspberryPI, XMPP, Eurotech Reliagate, Eurotech ESF, PLC, SCADA, DELL 5000, Intel IoT gateway, Multitech conduit, Java SE, openJDK, OSGi, Kura, Eclipse IoT, Embedded Java, Oauth 2.0, alternative to Node Red)
Iot & security automation-by Er. Nashet AliNashet Ali
This document summarizes an IoT security system project presented by Er. Nashet Ali. The project proposes an innovative IoT security architecture using small wireless devices connected via MQTT protocol. Key aspects include interfacing various sensors and devices, applying business logic and storage, and providing visualization and control interfaces. The proposed security model aims to securely connect alarms and applications to the internet. Future applications and a scope for improvement are also discussed.
Creating and Managing a Private or Hybrid Cloud: A Strategy SessionRightScale
RightScale Webinar: February 16, 2011 – In this webinar presented by Eucalyptus and RightScale you will learn how companies are using the cloud today, both for internal and outward facing applications, and the differences between a public, private or hybrid cloud architecture. We also discuss the 3 most important issues you need to consider when contemplating going with a private or hybrid cloud.
Cloud computing offers cost efficiencies and flexibility but also significant security concerns that are limiting its adoption. Research in trusted computing and encryption techniques could help address these issues by extending control over sensitive data stored in the cloud. This would alleviate fears about cloud computing and potentially provide business advantages over isolated IT systems. Continued advances are also needed to maintain security against new threats from increased cloud reliance, such as tools to prevent privacy leaks, perform authentication, and ensure availability despite denial-of-service attacks.
The document discusses the integration of Internet of Things (IoT) and cloud computing, referred to as Cloud of Things. It identifies several key issues with this integration, such as protocol support, energy efficiency, resource allocation, identity management, and security/privacy. Potential solutions are provided for some of the issues. The conclusion discusses the need for more study on the impact of these issues based on the specific IoT application and services provided.
This document provides an overview of how to get started with Azure IoT. It discusses key Azure IoT services like IoT Hub, IoT Edge, IoT data analysis tools, security services, and SDKs. Resources are provided to help learn more, including the author's contact details and links to Microsoft Learn modules and blogs on Azure IoT. Next steps mentioned include exploring Azure Computer Vision.
2 pc enterprise summit cronin newfinal aug 18IntelAPAC
Intel discusses how the evolution of IoT and big data is driving business transformation. Intel provides leading technology from devices to the cloud to deliver end-to-end IoT and big data solutions. Intel is uniquely positioned through its technology, partnerships, and ecosystem to integrate physical systems with data and analytics from the edge to the cloud.
CL2015 - Datacenter and Cloud Strategy and PlanningCisco
This document discusses strategies for data center and cloud transformation over the next 5 years. It outlines key digital business trends like data growth, cloud adoption, and security threats that are driving organizations' IT initiatives. These include managing increased data and applications, optimizing cloud strategies, addressing disruptive business models, and securing distributed data and applications. The document advocates adopting flexible consumption models, automation, and supporting edge/IoT applications. It positions Cisco as uniquely able to enable digital transformations through its portfolio of networking, compute, storage, automation, analytics, and security solutions.
IoT and the implications on business IT architecture and securityDeniseFerniza
The basics of IoT, the security issues both personal and within businesses. These slides cover the basics of what IT and Business professionals should know when considering working with Cloud Computing and IoT devices.
Employ the Cloud for Efficient Content Analytics - 10 november 2011Samir Batla
The document discusses using content analytics in the cloud. It notes that the volume of digital content is growing exponentially and dispersing across different sources. Content analytics can help analyze and extract insights from this large amount of unstructured data. The document recommends starting with a private cloud for content analytics, as it offers control and security, while also being cost-effective and flexible. A hybrid cloud model, combining private and public clouds, can then provide the best of both worlds for optimal content analytics. Latency remains a challenge for public clouds.
This document summarizes a cloud storage solution implemented using the OwnCloud application that includes an enhanced security algorithm called "The Mist". The Mist requires users to correctly answer one randomly selected security question out of three they created along with the correct answer selected from 50 choices within 16 seconds to gain access to their account. The solution was customized for and implemented at Southeastern University to provide secure cloud storage for the university using the latest enterprise-grade virtualization and server technologies.
Manage Risk By Protecting the Apps and Data InfographicCitrix
In today's security landscape, protecting apps and data should be top of mind for businesses. Our experts share their best practices for ensuring the protection of sensitive company information.
VMworld vBrownBag vmtn5534e - placement of iot workload operations within a c...Kenneth Moore
The Internet of Things (IoT) represents a disruptive technology that has the potential of changing the way we live in this world forever. Gartner predicts that by the end of 2020, there will be approx. 20 billion Internet-connected things, from smartwatches to smart offices generating traffic to communicate. Central to facilitating communication between these things are the Data-Center’s required to store and process the data that IoT devices will generate. The DC infrastructure facilitates applications such as analytics and customer-oriented applications allowing companies to extract value from data that is produced by IoT devices. While DCs provide an essential part of the jigsaw in supporting IoT, Gartner reported that current DC architectures are not prepared to deal with the scale, volume and heterogeneous nature of data that IoT will bring and will face as a result significant challenges in dealing with workload demands in terms of the storage, compute and network requirements to support IoT. Given this challenge, DCs in the future need to be designed and developed bearing IoT in mind. However, the design of a DC is a non-trivial task, and a thorough understanding of the workload demand of IoT applications is required to build a workload model that describes how the DC performs at its busiest time under load. Such models are essential to: design and optimise the management of resources in the DC; and facilitate performance analysis and simulation allowing DC providers to evaluate the impact that configuration changes have on QoS requirements.
The document discusses adding edge intelligence to Intel IoT gateways using the MIx Core platform. It defines the edge as the convergence of physical, security, connectivity, and data aspects where assets are located. The MIx Core platform integrates data streaming from sensors in real-time to enable preventative maintenance by detecting anomalies in vibration data from machines. This reduces equipment downtime and improves manufacturing performance.
The IoT.est project involves 8 partners from 7 countries to develop a test-driven service creation environment for Internet of Things enabled business services. The environment will allow acquisition of sensor and device data and control of actuators across domains. It will also facilitate run-time monitoring and autonomous service adaptation to changes in environment, context, and network parameters. The IoT.est architecture builds upon existing IoT platforms by providing common interfaces, resource control and management, security and privacy mechanisms, and discovery services.
GlobalSoft Technologies provides final year projects for engineering students related to cloud storage. They propose a new client-side data deduplication scheme for securely storing outsourced data in public clouds. The scheme encrypts each file with a unique key computed by the client, so that only the data owner can access it. It also integrates access rights in metadata, so authorized users can decrypt encrypted files only with their private key. The system is implemented on OpenStack Swift and uses Windows, Tomcat, HTML, Java, JavaScript, JSP, and MySQL.
ACT-IAC Rocky Mountain chapter - July 31 2014Rick Holgate
This document summarizes an event discussing advancing government through collaboration. It outlines the President's Management Agenda focusing on customer service, smarter IT delivery, and deploying a world-class workforce. It discusses perspectives from the Office of Management and Budget on viewing technology strategically and taking smart risks. Key initiatives to reform federal IT are outlined aiming to balance efficiency and effectiveness. The role of ACT-IAC in supporting smarter IT delivery through various frameworks and engagements is also summarized.
This document outlines several key challenges of cloud computing including information security, data piracy, interoperability between cloud services, migration into and out of cloud systems, compliance with regulations, and ensuring portability of data and services between different cloud providers. While cloud computing faces these challenges, the presentation notes it is still growing rapidly.
The document summarizes topics related to blockchain technology and healthcare, including:
1) It segments the blockchain space into cryptocurrency networks, corporate/consortium networks, decentralized technologies, and economic networks.
2) It outlines the blockchain-inspired technology landscape, including distributed ledgers, smart contracts, data meshes, and privacy/secret shares.
3) It proposes a decentralized healthcare framework but provides few details.
International Journal on Cloud Computing: Services and Architecture (IJCCSA)ijccsa
Cloud computing helps enterprises transform business and technology. Companies have begun to look for solutions that would help reduce their infrastructures costs and improve profitability. Cloud computing is becoming a foundation for benefits well beyond IT cost savings. Yet, many business leaders are concerned about cloud security, privacy, availability, and data protection. To discuss and address these issues, we invite researches who focus on cloud computing to shed more light on this emerging field.
This document provides an overview of Google Cloud Platform services for IoT and big data analytics, including fully managed ingestion, processing, and analysis of IoT data. It introduces Google Cloud Pub/Sub for messaging, Cloud Dataflow for stream and batch data processing, and BigQuery for petabyte-scale data warehousing and analysis. The presentation includes demos of building an event streaming pipeline using these services to ingest data from Pub/Sub, process it in Dataflow, and analyze results in BigQuery.
The National Security Agency's (NSA) surveillance system known as “PRISM” is not a surprise to most Information Technology Experts. In fact, many experts such as the companies (AOL Inc., Apple Inc., Facebook Inc., Google Inc., Microsoft Corp., Yahoo Inc., Skype, YouTube and Paltalk) who shared the information with NSA are trying very hard to mitigate the risks in securing this technology;
IoT Edge Intelligence - The need for new software development approachesBart Jonkers
CeBIT 2016 talk on "IoT Edge Intelligence - The need for new software development approaches".
In order to bridge the 'IoT skills gap' or solve the 'IT vs OT' divide, the IoT market needs to enable traditional IT developers to move into the OT (operational technology) world. In the OT world, devices, gateways and machines run embedded software on proprietary operating systems, using unfamiliar communications protocols in resource constraint environments. To enable a large community of developers to build intelligent IoT edge applications, abstraction from these domain specific technologies and complexities is required. Bitreactive offers visual developer tooling to highly simplify the application development on devices and the way edge devices integrate to IoT sensors, cloud services, analytics, visualization services etc.
(Some technologies supported: MQTT, AMQP, BLE, Zigbee, OPC-UA, Paho, Californium, Kura, Coap, JSON-RPC, LoRA, Bluetooth, IBM Bluemix, IBM IoT Foundation, Microsoft Azure, AWS, Oracle IoT Cloud Service, GE Predix, GE Predix machine, Xively, Solair, Geofencing, Modbus, GPIO, RaspberryPI, XMPP, Eurotech Reliagate, Eurotech ESF, PLC, SCADA, DELL 5000, Intel IoT gateway, Multitech conduit, Java SE, openJDK, OSGi, Kura, Eclipse IoT, Embedded Java, Oauth 2.0, alternative to Node Red)
Iot & security automation-by Er. Nashet AliNashet Ali
This document summarizes an IoT security system project presented by Er. Nashet Ali. The project proposes an innovative IoT security architecture using small wireless devices connected via MQTT protocol. Key aspects include interfacing various sensors and devices, applying business logic and storage, and providing visualization and control interfaces. The proposed security model aims to securely connect alarms and applications to the internet. Future applications and a scope for improvement are also discussed.
Creating and Managing a Private or Hybrid Cloud: A Strategy SessionRightScale
RightScale Webinar: February 16, 2011 – In this webinar presented by Eucalyptus and RightScale you will learn how companies are using the cloud today, both for internal and outward facing applications, and the differences between a public, private or hybrid cloud architecture. We also discuss the 3 most important issues you need to consider when contemplating going with a private or hybrid cloud.
Cloud computing offers cost efficiencies and flexibility but also significant security concerns that are limiting its adoption. Research in trusted computing and encryption techniques could help address these issues by extending control over sensitive data stored in the cloud. This would alleviate fears about cloud computing and potentially provide business advantages over isolated IT systems. Continued advances are also needed to maintain security against new threats from increased cloud reliance, such as tools to prevent privacy leaks, perform authentication, and ensure availability despite denial-of-service attacks.
The document discusses the integration of Internet of Things (IoT) and cloud computing, referred to as Cloud of Things. It identifies several key issues with this integration, such as protocol support, energy efficiency, resource allocation, identity management, and security/privacy. Potential solutions are provided for some of the issues. The conclusion discusses the need for more study on the impact of these issues based on the specific IoT application and services provided.
This document provides an overview of how to get started with Azure IoT. It discusses key Azure IoT services like IoT Hub, IoT Edge, IoT data analysis tools, security services, and SDKs. Resources are provided to help learn more, including the author's contact details and links to Microsoft Learn modules and blogs on Azure IoT. Next steps mentioned include exploring Azure Computer Vision.
2 pc enterprise summit cronin newfinal aug 18IntelAPAC
Intel discusses how the evolution of IoT and big data is driving business transformation. Intel provides leading technology from devices to the cloud to deliver end-to-end IoT and big data solutions. Intel is uniquely positioned through its technology, partnerships, and ecosystem to integrate physical systems with data and analytics from the edge to the cloud.
CL2015 - Datacenter and Cloud Strategy and PlanningCisco
This document discusses strategies for data center and cloud transformation over the next 5 years. It outlines key digital business trends like data growth, cloud adoption, and security threats that are driving organizations' IT initiatives. These include managing increased data and applications, optimizing cloud strategies, addressing disruptive business models, and securing distributed data and applications. The document advocates adopting flexible consumption models, automation, and supporting edge/IoT applications. It positions Cisco as uniquely able to enable digital transformations through its portfolio of networking, compute, storage, automation, analytics, and security solutions.
Telecom Clouds crossing borders, Chet Golding, Zefflin SystemsSriram Subramanian
This document discusses how OpenStack can help telecom companies transform by enabling cross-border communication and applications. The author argues that with over 6.8 billion cellphone users worldwide, telecom networks must support global connectivity and cloud-based applications and services. OpenStack allows telecoms to build public, private and hybrid clouds that can scale enormously while integrating with other technologies. This represents a new era for telecom where they become cloud companies enabling ubiquitous communication and access to data anywhere in the world.
The Convergence of IT, Operational Technology and the Internet of Things (IoT)Jackson Shaw
Did you know that today, there are over 30 billion connected IoT devices? And that in 2020, that number will double? Do you know how these devices connect to the internet? To each other? To their manufacturer? How many IoT devices are used within your company? If you’re a security professional you’ll need to be able to answer these questions and more. In this session, Jackson Shaw (Dell) will discuss the convergence (collision?) of IoT with IT and OT, what it means to him as a consumer and what it means to us as identity and IT security professionals.
Keynote presentation at European Identity Conference 2015, Munich, Germany.
https://www.id-conf.com/eic2015
Webinar: Evolution of Data Management for the IoTSnapLogic
The Internet of Things is here - slowly, unevenly and in vertical markets, creating new data silos. Evolving data management will be required to realize the full potential of the IoT. There are specific needs for properly addressing IoT data, which legacy ETL tools and database management systems simply don't handle well.
This presentation is from a webinar with Joseph A. di Paolantonio, industry expert working at the convergence of IoT with data management and analytics, where he discusses five recommendations on gaining advantage through the latest IoT data management technologies and business processes.
1) The document discusses digital transformation and AI at the edge for industrial applications. It describes challenges like processing vast amounts of distributed data in real-time while ensuring security and reliability with limited resources.
2) Edge computing is important for industrial IoT as it allows data processing and AI inferencing close to where data is generated, improving latency, security, and scalability. The document outlines several open source edge computing projects and technologies being developed.
3) Achieving digital transformation requires bridging gaps between IT and operational systems through approaches like collecting telemetry data, predictive maintenance, and building a data-informed culture across the organization. Standards like OPC UA are also important for interoperability.
The Internet of Things (IoT) refers to connecting physical objects to the internet. It will connect 50 billion "smart objects" by 2020. IoT builds on previous technologies like RFID and machine-to-machine communication by giving devices IP addresses and allowing direct interaction over various networks. IoT has potential applications in areas like manufacturing, healthcare, transportation and smart cities. Key challenges to enabling IoT include connectivity, security, interoperability between devices and domains, and handling large amounts of data and traffic.
SecureIoT participated in ETSI IoT Week 2018 at the Challenging IoT Security & Privacy Workshop, Session 1 - Overview and Accomplishment of the H2020 IoT Security/Privacy Cluster Projects. SecureIoT was also happy to present the H2020 IoT projects of Security/Privacy cluster.
This is the presentation made from John Soldatos of SecureIoT H2020 project.
Internet of things is one of the catch words now a day.
It promises a great future for the internet. Today common types
of communications are person to person, machine to person, or
person to machine. But Internet of things brings a new
technology where a type of communication is machine to
machine. Many technology and protocols have been studied for
this new communication. One of the new and emerging
technologies is VMware Pulse IoT center which provides IoT
device management in a pretty manner. It serves as management
glue between hardware. This paper will take a look on features,
benefits and working of VMware pulse IoT center including
summary of IoT solutions by VMware pulse IoT center.
CECA - Collaborative Approach for Decision Makers in Heterogeneous IoT Enviro...Edson Barbosa
The document discusses a collaborative approach (CECA) for integrating heterogeneous IoT systems and data sources to provide insights for decision makers. CECA uses data clustering and correlation algorithms to analyze sensor, asset, and user data from systems like cameras, WiFi networks, and physical security. It has an open source cloud-ready architecture and integrates technologies like big data analytics. Example use cases include improving operations at airports, farms, industrial plants, and smart cities by combining data from various IoT systems.
IRJET-Testing Uncertainty of Cyber-Physical Systems in IoT Cloud Infrastructu...IRJET Journal
This document discusses testing uncertainties in cyber-physical systems (CPS) that span Internet of Things (IoT) and cloud infrastructures. It proposes combining model-driven engineering and elastic execution techniques to dynamically provision both the CPS under test and testing utilities across various IoT and cloud infrastructures. Specifically, it suggests using software-defined IoT units and cloud-based elastic services that can be composed, controlled via APIs, and provisioned elastically to enable testing CPS configurations and behaviors across heterogeneous environments.
Cisco Fog Computing Solutions: Unleash the Power of the Internet of ThingsHarshitParkar6677
Cisco's fog computing solutions provide the following benefits: data privacy by analyzing sensitive data locally instead of sending it to the cloud, comprehensive security using Cisco's physical and cybersecurity solutions, business agility by analyzing data closer to where it is collected for faster insights, and rapid innovation through infrastructure and platform services that simplify application development and deployment. Cisco's fog computing solution components include networking, security, an application platform for development and hosting fog applications, data analytics services to determine where data should be analyzed, and management and automation tools. The document provides examples of fog computing use cases for rail transportation and manufacturing.
Cisco's fog computing solutions provide the following benefits:
1) Data privacy - Sensitive data can be analyzed locally within buildings instead of sending it to remote data centers. Cisco Fog Data Services determines the best place for analysis based on policy.
2) Comprehensive security - Fog nodes are protected using the same Cisco physical and cybersecurity solutions used to protect other IT assets.
3) Business agility - Applications can be hosted closer to IoT devices, allowing business insights to be gained more quickly by analyzing data closer to the source.
This document provides an overview of the fundamentals of the Internet of Things (IoT). It discusses the basic architecture of IoT systems including sensing, network, data processing, and application layers. It also covers main design principles such as security, data management, and human factors. Additional topics include IoT standards considerations, devices and gateways, networking approaches, business processes, Everything as a Service models, reference architectures, and technical constraints around interoperability, privacy and security.
Discover existing customer stories from various industries such as manufacturing, logistics and construction. No theoretical use cases, but in-depth insights that will help you on how to get started with IoT.
- Octoblu is an industrial IoT platform that connects physical devices and allows them to communicate and exchange data seamlessly.
- It provides a visual editor to design automated workflows without coding. Workflows can control devices and run securely in the cloud or on-premise.
- Octoblu was used to connect all devices and systems in the Kingdom Tower in Jeddah, including security, lighting, HVAC, and more to automate building management.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...shadow0702a
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
ACEP Magazine edition 4th launched on 05.06.2024Rahul
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
10. Connectivity
• Interoperate with I0T
protocols such as MQTT,
XMPP etc.
• Bridge communications
between I0T protocols
and traditional line of
business APIs.
• Choose network
architecture.
11. Data Collection
• Process and aggregate
millions of events real
time.
• Execute static queries
against dynamic data
streams.
12. Integration
• Integrate data produced
by smart devices with
backend systems.
• Use line-of-business data
in event stream queries.
• Push data to smart
devices based on
conditions detected on
line-of-business systems.
13. Scalability
• Horizontally scalability
models to support the
processing of millions of
events real time.
• Elastic and on-demand
scalability architecture
to adapt to dynamic
traffic conditions.
14. Real-Time Analytics
• Process analytics based
on real time traffic from
smart devices.
• Visualize traffic from
specific devices as well
as from different
segments of an IoT
topology.
15. Security
• Manage and secure the
devices of an industrial
IoT topology.
• Protect the data
exchanged between
smart devices and
corporate systems.
17. Why OpenStack
•Control and Flexibility. Open source platform
means you’re never locked to a proprietary
vendor,
•Industry Standard. More than 60 leading
companies from over a dozen countries are
participating in OpenStack, including Cisco,
Citrix, Dell, Intel and Microsoft, and new
OpenStack clouds are coming online across the
globe.
•Proven Software. Run the same software that
today powers some of the largest public and
private clouds in the world.
•Compatible and Connected. Compatibility
with public OpenStack clouds means
enterprises are prepared for the future—making
it easy to migrate data and applications to public
clouds when conditions are right—based on
security policies, economics, and other key
business criteria.
A
D
C
B
Scale
Flexibility
Analytics
Unified View
28. OpenStack and IoT
opportunity and challenges
Presented by: Chraigui Soufiene
Founder of TOSUG
Thank you for attention, Questions ?
Editor's Notes
The Internet of Everything (IoE) creates $14.4 trillion in Value at Stake — the combination of increased revenues and lower costs that is created or will migrate among companies and industries from 2013 to 2022.
The five main factors that fuel IoE Value at Stake are: 1) asset utilization (reduced costs) of $2.5 trillion; 2) employee productivity (greater labor efficiencies) of $2.5 trillion; 3) supply chain and logistics (eliminating waste) of $2.7 trillion; 4) customer experience (addition of more customers) of $3.7 trillion; and 5) innovation (reducing time to market) of $3.0 trillion.
Technology trends (including cloud and mobile computing, Big Data, increased processing power, and many others) and business economics (such as Metcalfe’s law) are driving the IoE economy.
These technology and business trends are ushering in the age of IoE, creating an unprecedented opportunity to connect the unconnected: people, process, data, and things. Currently, 99.4 percent of physical objects that may one day be part of the Internet of Everything are still unconnected.
To get the most value from IoE, business leaders should begin transforming their organizations based on key learnings from use cases that make up the majority of IoE’s Value at Stake. These use cases include smart grid, smart buildings, connected healthcare and patient monitoring, smart factories, connected private education, connected commercial (ground) vehicles, connected marketing and advertising, and connected gaming and entertainment, among others.
Robust security capabilities (both logical and physical) and privacy policies are critical enablers of the Internet of Everything Economy. The IoE Value at Stake projections are based on increasingly broad adoption of IoE by private-sector companies over the next decade. This growth could be inhibited if technology-driven security capabilities are not combined with policies and processes designed to protect the privacy of both company and customer information.
Because the stakes are high — over 10 years, companies stand to lose more than a year of profits if they do not embrace IoE — the time to act is now.