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.
The Internet of Things (IoT) is one of the hottest mega-trends in technology – and for good reason , IoT deals with all the components of what we consider web 3.0 including Big Data Analytics, Cloud Computing and Mobile Computing .
Michael enescu keynote chicago2014_from_cloud_to_fog_and_iotMichael Enescu
Just as we became familiar with Cloud computing and the dominant role of Open Source, a new compute model has emerged, an extension of the Cloud to the Edge of the network, some call it Fog computing, others the Internet of Things or IoT. Open Source will also play a dominant role in this, as it does in the Cloud, but what exactly is it, and what does it mean in IoT. How is the model changing as the new generation of devices has stretched what we previously knew as Cloud compute. And most importantly, why, what, and how the new IoT-specific Service Provider (IsSP?) model emerges and disrupts its aging predecessor. This is the tidal wave of opportunity we see, a generation after the last one that took place in the mid 90's. Get ready!
In 2006, Cyber Physical Systems (CPS), the new word was invented in the United States [1]. The combination of devices like sensors with embedded systems is quickly receiving its place in cyber world. These devices jointly with the information filed are becoming the main focal point, called as Cyber Physical Systems. This word was found keeping in mind the escaling significance of relations among the mutually related computing systems with the physical world [2]. The author of this paper gives an overview of CPS architecture, its functions and its security threat.
Citation: Navin Dhinnesh ADC, Mepco Schlenk Engineering College. "Cyber Physical System." Global Research and Development Journal For Engineering 34 2018: 12 - 14.
In this presentation, Paul introduces the topic of IoT and associated trends. His interest area lies in protecting the privacy of users of IoT devices.
Extends cloud computing services to the edge of the network.
Similar to cloud, Fog provides:
Data
Computation
Storage
Application Services to end users.
Motivations for Fog Computing:
Smart Grid, Smart Traffic Lights in vehicular networks and Software Defined Networks.
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.
The Internet of Things (IoT) is one of the hottest mega-trends in technology – and for good reason , IoT deals with all the components of what we consider web 3.0 including Big Data Analytics, Cloud Computing and Mobile Computing .
Michael enescu keynote chicago2014_from_cloud_to_fog_and_iotMichael Enescu
Just as we became familiar with Cloud computing and the dominant role of Open Source, a new compute model has emerged, an extension of the Cloud to the Edge of the network, some call it Fog computing, others the Internet of Things or IoT. Open Source will also play a dominant role in this, as it does in the Cloud, but what exactly is it, and what does it mean in IoT. How is the model changing as the new generation of devices has stretched what we previously knew as Cloud compute. And most importantly, why, what, and how the new IoT-specific Service Provider (IsSP?) model emerges and disrupts its aging predecessor. This is the tidal wave of opportunity we see, a generation after the last one that took place in the mid 90's. Get ready!
In 2006, Cyber Physical Systems (CPS), the new word was invented in the United States [1]. The combination of devices like sensors with embedded systems is quickly receiving its place in cyber world. These devices jointly with the information filed are becoming the main focal point, called as Cyber Physical Systems. This word was found keeping in mind the escaling significance of relations among the mutually related computing systems with the physical world [2]. The author of this paper gives an overview of CPS architecture, its functions and its security threat.
Citation: Navin Dhinnesh ADC, Mepco Schlenk Engineering College. "Cyber Physical System." Global Research and Development Journal For Engineering 34 2018: 12 - 14.
In this presentation, Paul introduces the topic of IoT and associated trends. His interest area lies in protecting the privacy of users of IoT devices.
Extends cloud computing services to the edge of the network.
Similar to cloud, Fog provides:
Data
Computation
Storage
Application Services to end users.
Motivations for Fog Computing:
Smart Grid, Smart Traffic Lights in vehicular networks and Software Defined Networks.
Fog Computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage, and application services to end-users. The motivation of Fog computing lies in a series of real scenarios, such as Smart Grid, smart traffic lights in vehicular networks and software defined networks.
Internet of Things with Cloud Computing and M2M CommunicationSherin C Abraham
The IoT is the network of physical objects with intelligence. It can be more secure with MQTT protocol for Machine to Machine Communication and more storage capability can be achieved by using cloud computing.
Fog Computing Reality Check: Real World Applications and ArchitecturesBiren Gandhi
Is Fog Computing just a buzz or a real business?
The IoT is flooded with a variety of platforms and solutions. Fog Computing has been notably appearing as an evolving term in the context of IoT software. There is skepticism that Fog Computing is just another buzzword destined to disappear in the dust of time. Get insight from concrete business cases in a variety of IoT verticals – Agriculture, Industrial Manufacturing, Transportation, Smart & Connected Communities etc. and learn how Fog Computing can play a substantial role in each one of these verticals. Develop a judicious point of view with respect to the future of Fog Computing through market research, technology disruption vectors and ROI use cases presented in this session.
Blockchain and the Internet Of Things - Benefits of combining these two Mega ...Tyrone Systems
Blockchain offers the potential of greatly improving the overall security of the IoT environment. The verifiable, secure and permanent method of recording data processed by “smart” machines in the IoT.
The current landscape of Internet of Things (IoT) applications is extremely fragmented because we are still experimenting to discover the correct mix for our respective markets. Unfortunately in the IoT world, one solution does not fit all.We need much more clarity in understanding the challenges of IoT application development, both in terms of technical feasibility as well as business opportunities. In our talk we present a toolkit approach towards accelerating IoT applications by leveraging modular components that can effectively accelerate go to market for end solutions.
Drones and Fog Computing - New Frontiers of IoT and Digital Transformation -...Biren Gandhi
Technology is considered one of the biggest drivers of Digital Transformation and Digital Disruption. Out of many frontiers of recent technological advancements, this talk focused on IoT, Drones and Fog Computing as key innovation accelerators for Digital Strategy.
The term “fog computing” or “edge computing” means that rather than hosting and working from a centralized cloud, fog systems operate on network ends. It is a term for placing some processes and resources at the edge of the cloud, instead of establishing channels for cloud storage and utilization.
Fog Computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage, and application services to end-users. The motivation of Fog computing lies in a series of real scenarios, such as Smart Grid, smart traffic lights in vehicular networks and software defined networks.
Internet of Things with Cloud Computing and M2M CommunicationSherin C Abraham
The IoT is the network of physical objects with intelligence. It can be more secure with MQTT protocol for Machine to Machine Communication and more storage capability can be achieved by using cloud computing.
Fog Computing Reality Check: Real World Applications and ArchitecturesBiren Gandhi
Is Fog Computing just a buzz or a real business?
The IoT is flooded with a variety of platforms and solutions. Fog Computing has been notably appearing as an evolving term in the context of IoT software. There is skepticism that Fog Computing is just another buzzword destined to disappear in the dust of time. Get insight from concrete business cases in a variety of IoT verticals – Agriculture, Industrial Manufacturing, Transportation, Smart & Connected Communities etc. and learn how Fog Computing can play a substantial role in each one of these verticals. Develop a judicious point of view with respect to the future of Fog Computing through market research, technology disruption vectors and ROI use cases presented in this session.
Blockchain and the Internet Of Things - Benefits of combining these two Mega ...Tyrone Systems
Blockchain offers the potential of greatly improving the overall security of the IoT environment. The verifiable, secure and permanent method of recording data processed by “smart” machines in the IoT.
The current landscape of Internet of Things (IoT) applications is extremely fragmented because we are still experimenting to discover the correct mix for our respective markets. Unfortunately in the IoT world, one solution does not fit all.We need much more clarity in understanding the challenges of IoT application development, both in terms of technical feasibility as well as business opportunities. In our talk we present a toolkit approach towards accelerating IoT applications by leveraging modular components that can effectively accelerate go to market for end solutions.
Drones and Fog Computing - New Frontiers of IoT and Digital Transformation -...Biren Gandhi
Technology is considered one of the biggest drivers of Digital Transformation and Digital Disruption. Out of many frontiers of recent technological advancements, this talk focused on IoT, Drones and Fog Computing as key innovation accelerators for Digital Strategy.
The term “fog computing” or “edge computing” means that rather than hosting and working from a centralized cloud, fog systems operate on network ends. It is a term for placing some processes and resources at the edge of the cloud, instead of establishing channels for cloud storage and utilization.
Conducted Research on American States Water Company. This included research on customers, areas of business, construction management and wastewater management. My group and I tracked the company's stock on a bi-weekly basis and came up with strong ideas on how profits can me maximized and shareholder dividends can increase. We decided that this company should expand geographically into dry regions that experience droughts. We want to centrally locate our new water pumps but also put some near farmlands to keep up food production. We would also like to add a new transmission line which will increase daily water production from 14.5 million liters per day to 20.5 million liters per day. Lastly, we want to increase our social media presence in order to attract new customers and promote our brand.
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Personal statement for master's application, Subject: Accounting and Finance, Academic Level: Masters, Style: APA, Language: English (U.K)
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A Proposed Solution to Secure MCC Uprising Issue and Challenges in the Domain...IJERD Editor
The development of cloud computing and mobility,mobile cloud computing has emerged and
become a focus of research. By the means of on-demand self-service and extendibility, it can offer the
infrastructure, platform, and software services in a cloud to mobile users through the mobile network. Security
and privacy are the key issues for mobile cloud computing applications, and still face some enormous
challenges. In order to facilitate this emerging domain, we firstly in brief review the advantages and system
model of mobile cloud computing, and then pay attention to the security and privacy in the mobile cloud
computing. MCC provides a platform where mobile users make use of cloud services on mobile devices. The
use of MCC minimizes the performance, compatibility, and lack of resources issues in mobile computing
environment. By deeply analyzing the security and privacy issues from three aspects: mobile terminal, mobile
network and cloud, we give the current security and privacy approaches. The users of MCC are still below
expectations because of the associated risks in terms of security and privacy. These risks are playing important
role by preventing the organizations to adopt MCC environment. Significant amount of research is in progress in
order to reduce the security concerns but still a lot work has to be done to produce a security prone MCC
environment. This paper presents a comprehensive literature review of MCC and its security issues,challenges
and possible solutions for the security issues.
Telecoms in a convergent world - Emerging issuesMartyn Taylor
Telecommunicationss in a convergent world; Big data and its implications; M2M and the Internet of Things; Digital content and video streaming; Growing use of strategic alliances
Block Armour Zero Trust Cybersecurity Mesh for TelcomBlockArmour1
In the digital age, the telecom sector is not just a facilitator but an enabler of modern communication technologies. As such, safeguarding its critical infrastructure is of paramount importance. Block Armour's Cybersecurity Mesh, that harnesses Zero Trust principles and is fortified with SDP and blockchain, offers telecom companies a potent shield against cyber threats, ensuring they continue to embrace digital transformation securely while driving connectivity and innovation without compromise.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Mobile cloud computing (MCC) at its simplest, refers to an infrastructure where both the data storage and data processing happen outside of the mobile device.
Mobile cloud computing (MCC) at its simplest, refers to an infrastructure where both the data storage and data processing happen outside of the mobile device.
Mobile cloud computing (MCC) at its simplest, refers to an infrastructure where both the data storage and data processing happen outside of the mobile device.
Every 25 years or so, telecom networks get totally re-designed. The last big re-build came with the internet in the early 1990s. Now “IP networking” technology is giving way to another technology cycle known as “software defined networking”. SDN is a new architecture for telecom networks in which the emphasis shifts from hardware to software. It will be hugely disruptive because it fundamentally changes who controls the telecom network. In the report we predict some of the winners and losers.
Challenges and Security Issues in Future IT Infrastructure ComponentsMubashir Ali
Over the past 2 decades, the information technology infrastructure has gone through an exponential change with the introduction and evolution of new technologies and trends. Organizations previously having their data on-premise and their infrastructure comprising of multiple server machines on multiple server racks and dedicated client personal computers (PCs) are moving towards cloud computing & virtualization to Smartphone and tablets. This rapid advancement and constant change, although increasing productivity for the organizations is resulting in a rising number of challenges and security issues for the organizations, their managers, IT administrators and technology architects. This paper discusses the future IT infrastructure components and the challenges & security issues that arise after their implementation that needs to be taken care of in order to get the full advantage of IT.
The fast emerging of internet of things (IoTs) has introduced fog computing as an intermediate layer between end-users and the cloud datacenters. Fog computing layer characterized by its closeness to end users for service provisioning than the cloud. However, security challenges are still a big concern in fog and cloud computing paradigms as well. In fog computing, one of the most destructive attacks is man-in-the-middle (MitM). Moreover, MitM attacks are hard to be detected since they performed passively on the network level. This paper proposes a MitM mitigation scheme in fog computing architecture. The proposal mapped the fog layer on software-defined network (SDN) architecture. The proposal integrated multi-path transmission control protocol (MPTCP), moving target defense (MTD) technique, and reinforcement learning agent (RL) in one framework that contributed significantly to improving the fog layer resources utilization and security. The proposed schema hardens the network reconnaissance and discovery, thus improved the network security against MitM attack. The evaluation framework was tested using a simulation environment on mininet, with the utilization of MPTCP kernel and Ryu SDN controller. The experimental results shows that the proposed schema maintained the network resiliency, improves resource utilization without adding significant overheads compared to the traditional transmission control protocol (TCP).
Today, in the world of communication, connected systems is growing at a rapid pace. To accommodate this growth the need for computational power and storage is also increasing at a similar rate. Companies are investing a large amount of resources in buying, maintaining and ensuring availability of the system to their customers. To mitigate these issues, cloud computing is playing a major role [1]. The underlying concept of cloud computing dates back to the ‘50s but the term entering into widespread usage can be traced to 2006 when Amazon.com announced the Elastic Compute Cloud. In this paper, we will discuss about cloud security approaches. We have used the term “CloudDrain” to define data leakage in case of security compromise.
About SIGFOX
SIGFOX is the first and only operator of a cellular network fully dedicated to low throughput communication for connected objects. Leveraging on its patented UNB technology SIGFOX brings a revolution to the M2M and Internet of Things world by enabling large-scale connection of objects. The network already connects tens of thousands of objects in France and international cities.
SIGFOX provides an end-to-end solution for your communication chain, from your objects through to your information system, with unprecedented pricing models and low energy consumption.
As a network operator SIGFOX operates fixed-location
transceivers enabling your objects to be connected “out of the box”. However contrary to the telecommunication networks, the SIGFOX transceivers and the entire SIGFOX connectivity solution has been developed, built and deployed to only serve the low throughput M2M and IoT applications. As an operated longrange network, SIGFOX provides connectivity without the need to deploy specific network infrastructures for each application.
Unlike other narrow band or white space solution providers we do not require our customers to invest in network equipment, the SIGFOX network is simply available to any object equipped with our certified connectivity solutions.
From an application point of view, the SIGFOX connectivity solution functions as follows:
• SIGFOX compatible modems are integrated within the physical objects by our certified partner network
• The objects instruct the modems to send messages whenever and wherever needed
• The transmitted data is picked up by the SIGFOX transceivers, and routed to our managed service
• The SIGFOX servers verify the data integrity and route the messages to the application’s IT system.
(...)
Sample use cases.
MAAF Assurances, one of the leading French insurance companies, anticipate the upcoming regulation that will impose by 2015 that each household be equipped with a smoke detector. The fire and/or intrusion alert service that will be using the SIGFOX network will enable MAAF insured customers to be warned directly through SMS, in case the intrusion or smoke detectors send alarms and allow MAAF and their customers to be alerted if there is an anomaly, such as low battery, with the
smoke detector.
Clear Channel Outdooroperates stations throughout France. In order to avoid constant manual inspection of the ad stations, a remote monitoring application has been deployed and the SIGFOX network is used to communicate status information from each ad station to the IT system.
For further info:
• contact@sigfox.com
• www.sigfox.com
Research proposal on Computing Security and Reliability - Phdassistance.comPhD Assistance
From introducing new international standards to having an important role to play in several industries, computer science is one of the powerful subjects right now. You cannot guess a single area that does not need computer systems or efficient networking options. Because Technology and Computer Science go together for any field.
Stating this, there are a few core subjects inside computer science that are unpredictable in its future use. One such case is with computing technologies.
Visite : https://www.phdassistance.com/blog/
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Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
CSU - ITC571 Capstone Project Seminar - Security Issues and challenges with Wireless M2M utilising Cloud Computing
1. STUART BENNETT
ITC571 CAPSTONE
PROJECT
SEMINAR
ITC571 - Emerging Technologies and Innovation
(201630)
Assessment 6 – Project Blog and Seminar
Student: Stuart Bennett (ID: 11560606)
Subject Mentor: Dr. Mohsin Iftikhar
2. ITC571 - Emerging Technologies and Innovation
(201630)
Assessment 6 – Project Blog and Seminar
Student: Stuart Bennett (ID: 11560606)
Subject Mentor: Dr. Mohsin Iftikhar
SECURITY ISSUES AND
CHALLENGES WITH WIRELESS
M2M
UTILISING CLOUD
INFRASTRUCTURE
3. A bit of an overview of Wireless M2M
• Wireless Machine-to-Machine (M2M)
communication is viewed as one of the next
frontiers in wireless communications and has
grown dramatically over the past decade.
Source: Telecom Cloud
(2012)
4. A bit of an overview of Wireless M2M
• It is expected that the wireless M2M market to
account for nearly $200 Billion in revenue by the
end of 2022
5. A bit of an overview of Wireless M2M
• Some IT industry experts expect up to 50 billion
devices will be connected in the coming years.
6. Wireless M2M
Implementation of Wireless M2M applications are
growing at a rapid pace lead by many new and varied
business cases, such as:
Intelligent metering and network
management for the Utilities
sector
Source: Netcomm Wireless
7. Wireless M2M
Implementation of Wireless M2M applications are
growing at a rapid pace lead by many new and varied
business cases, such as:
Within the agricultural sector
allowing the remote
management of irrigation and
stock control.
Source: Sensor Measurement
8. Wireless M2M
Implementation of Wireless M2M applications are
growing at a rapid pace lead by many new and varied
business cases, such as:
e-Health applications such as
remote patient monitoring
Source: oneM2M
9. Wireless M2M
Implementation of Wireless M2M applications are
growing at a rapid pace lead by many new and varied
business cases, such as:
Security and surveillance –
• monitoring of public
transportation systems
(roads, rail, buses)
• security applications (street
surveillance and corporate
security)
Source: iveda.com
11. Cloud Computing
Cloud computing is a new computing paradigm that has
significantly changed the global IT landscape.
• Cloud computing is flexible and scalable
• Allows the automatic provisioning and de-provisioning of
resources when required
Source: Shape Host Source: Simple Servers
12. Cloud Computing
Since Wireless M2M networks will generate vast
amount of data and have many resource-constrained
devices, it can be envisaged that cloud computing
will play a key role in Wireless M2M development by
offering desirable features such as:
• data storage
• data processing and
• virtualised infrastructure.
Source: Network World Source: Miami Technologist Source: PBJ Tech Solutions
13. CURRENT CHALLENGES
There are still many things to consider as we look to integrate
Wireless M2M devices with Cloud Computing.
Some of the major concerns are: Security Issues
Security is a major concern in today’s internet.
Given the number of connected devices in the
future, we need to look at totally new and
innovative solutions to address security concerns.
We must focus on security at endpoints - device
security, cloud security, and network security.
Insufficient authentication and authorisation
solutions
Cloud based security concerns, such as multi-
tenanted environments
Source: IOT Business News
14. CURRENT CHALLENGES
There are still many things to consider as we look to integrate
Wireless M2M devices with Cloud Computing.
Some of the major concerns are: Encryption
Encrypting information also tends to be a
processor-intensive task.
A lack of transport encryption between the M2M
device and the Cloud host.
There is a need to design a light-weight
encryption algorithm/scheme that can be used
with Wireless M2M devices
Source: TecTrade
15. CURRENT CHALLENGES
There are still many things to consider as we look to integrate
Wireless M2M devices with Cloud Computing.
Some of the major concerns are: The Integration Challenge
Successful M2M/Cloud implementations will
require a focus on how best to integrate these
technologies.
We will also need to ensure that we have
adequate infrastructure that can move massive
amounts of data from heterogeneous sources.
How to do this all securely is a very important
question? Source: Mobilize
16. FUTURE RESEARCH –
STANDARDISATION
• One area that need additional research is to develop
a global “Standard” for M2M devices, development
and deployment.
• One of the biggest challenges within the current M2M
ecosystem is the use of proprietary systems that
often span across a number of layers, from physical
to application.
• We need to ensure that we examine a number of use
cases, collected from a number of M2M domains, to
derive a set of requirements and functionalities for a
common standardisation platform.
17. FUTURE RESEARCH –
SECURITY
• It is vitally important that Wireless M2M developers
make privacy and security a priority for continued
M2M market growth. Additional research needs to be
done in this area.
• Adequately securing Wireless M2M devices can be a
complex activity. What is the best way to ensure that
these environments are secure?
• Security issues integrating Wireless M2M devices with
Cloud infrastructure
• We need to take into account that all Wireless M2M
devices require the same security as does the cloud
(firewalls, Anti-Virus programs, etc) and that we can
use encryption across all devices.
Source: GSMA
18. CONCLUSION
Wireless Machine-to-machine (M2M) technology will become a key enabler of
many of the higher-profile platforms that are revolutionising industry. These
include Cloud Services and the Industrial Internet of Things (IIoT).
Since wireless M2M networks will generate vast amount of data and have many
resource-constrained devices, it can be envisaged that Cloud Computing will
play a key role in Wireless M2M development.
Based on current research, is not completely clear how Wireless M2M and Cloud
technologies will fit together or how the many concerns around security and
privacy will be addressed.
Much more research needs to be done in these area to better understand and
address these concerns.
19. SECURITY ISSUES AND CHALLENGES
WITH WIRELESS M2M
UTILISING CLOUD INFRASTRUCTURE
MY CAPSTONE PROJECT BLOG SITE
Can be found at -
http://thinkspace.csu.edu.au/11560606itc571/