This document discusses the Stream Control Transmission Protocol (SCTP) and its use of data chunks, selective acknowledgements (SACKs), and streams. It describes the key fields in a DATA chunk and how SACK chunks are used to acknowledge received data and indicate gaps and duplicates. It also explains how SCTP uses transmission timers and congestion control to retransmit lost or missing data. Finally, it provides an example of how SCTP streams can be used to separate different calls in a Signaling System 7 over IP network.
An Efficient Data Collection Protocol for Underwater Wireless Sensor NetworksIJCNCJournal
This paper presents the design and evaluation of a new data collection protocol for Underwater Wireless Sensor Networks called the Data Collection Tree Protocol (DCTP). It uses an efficient distributed algorithm to proactively construct and maintain a data collection tree rooted at the sink node. The preconstructed and maintained data collection tree allows the efficient selection of a single forwarding node at each hop when routing a data packet. We prove the correctness of the constructed data collection tree and we show that under some stability conditions, the constructed tree converges to an optimal shortestpath tree. Results of extensive simulations show a big improvement in terms of packet delivery ratio, endto-end delay and energy consumption compared to the well-known VBF protocol. The simulated cases show increases in the packet delivery ratio between 20% and 122%, reductions in the average end-to-enddelay between 15% and 55% and reductions in the energy consumption between 20% and 50%. These results clearly demonstrate the attractiveness of the proposed DCTP protocol.
An Efficient Data Collection Protocol for Underwater Wireless Sensor NetworksIJCNCJournal
This paper presents the design and evaluation of a new data collection protocol for Underwater Wireless Sensor Networks called the Data Collection Tree Protocol (DCTP). It uses an efficient distributed algorithm to proactively construct and maintain a data collection tree rooted at the sink node. The preconstructed and maintained data collection tree allows the efficient selection of a single forwarding node at each hop when routing a data packet. We prove the correctness of the constructed data collection tree and we show that under some stability conditions, the constructed tree converges to an optimal shortestpath tree. Results of extensive simulations show a big improvement in terms of packet delivery ratio, endto-end delay and energy consumption compared to the well-known VBF protocol. The simulated cases show increases in the packet delivery ratio between 20% and 122%, reductions in the average end-to-enddelay between 15% and 55% and reductions in the energy consumption between 20% and 50%. These results clearly demonstrate the attractiveness of the proposed DCTP protocol.
Test time efficient group delay filter characterization technique using a dis...Pete Sarson, PH.D
To measure a filter’s group delay in production is never an easy task and to measure the group delay characteristic in quick and timely manner is difficult to say the least. This paper will discuss a simple method that expands on the author’s previous works that will demonstrate how to measure the group delay of a filter and how accurately the technique correlates to measurements of the silicon performance made in the lab. The test time saving and stability of results will be shown as well as the advantages of the technique with regard to having full characterization data available in a production program. Finally, it will be shown how the work can be further developed to a potentially more efficient technique.
Essential principles of jitter part 2 the components of jitterteledynelecroy
-The power of statistical analysis
-The five fundamental types of jitter: ISI, DCD, Periodic, Random, Other
-Their statistical “signature”
-The jitter “tree”
-Synthesizing examples based on their root cause
Introduction to Channel Capacity | DCNIT-LDTalks-1Arunabha Saha
DCNIT-LDTalks-1
Here I have discussed the channel capacity for noiseless and noisy channels. How Nyquist capacity and Shannon capacity play a key role in the noiseless and noisy channels are discussed in detail. We will see the several expressions of SNR_dB in terms of power and amplitude and try to understand how both the capacity are different from each other. For extreme values of SNR, we will deduce the Shannon capacity formula to understand the bandwidth-limited region and power-limited region. Here I have used a few numerical examples to understand the concept clearly. In the last section of the talk, I have deduced the Shannon capacity formula from scratch to get better exposure and will understand how these ideas contribute to its mathematical framework.
Course: CMS-A-CC-4-8
youtube: https://www.youtube.com/watch?v=1OjlMqHWq6o
Test time efficient group delay filter characterization technique using a dis...Pete Sarson, PH.D
To measure a filter’s group delay in production is never an easy task and to measure the group delay characteristic in quick and timely manner is difficult to say the least. This paper will discuss a simple method that expands on the author’s previous works that will demonstrate how to measure the group delay of a filter and how accurately the technique correlates to measurements of the silicon performance made in the lab. The test time saving and stability of results will be shown as well as the advantages of the technique with regard to having full characterization data available in a production program. Finally, it will be shown how the work can be further developed to a potentially more efficient technique.
Essential principles of jitter part 2 the components of jitterteledynelecroy
-The power of statistical analysis
-The five fundamental types of jitter: ISI, DCD, Periodic, Random, Other
-Their statistical “signature”
-The jitter “tree”
-Synthesizing examples based on their root cause
Introduction to Channel Capacity | DCNIT-LDTalks-1Arunabha Saha
DCNIT-LDTalks-1
Here I have discussed the channel capacity for noiseless and noisy channels. How Nyquist capacity and Shannon capacity play a key role in the noiseless and noisy channels are discussed in detail. We will see the several expressions of SNR_dB in terms of power and amplitude and try to understand how both the capacity are different from each other. For extreme values of SNR, we will deduce the Shannon capacity formula to understand the bandwidth-limited region and power-limited region. Here I have used a few numerical examples to understand the concept clearly. In the last section of the talk, I have deduced the Shannon capacity formula from scratch to get better exposure and will understand how these ideas contribute to its mathematical framework.
Course: CMS-A-CC-4-8
youtube: https://www.youtube.com/watch?v=1OjlMqHWq6o
Slides supporting the "Computer Networking: Principles, Protocols and Practice" ebook. The slides can be freely reused to teach an undergraduate computer networking class using the open-source ebook.
Black Hat '15: Spread Spectrum Satcom Hacking: Attacking The GlobalStar Simpl...Synack
Black Hat 2015
Recently, there have been several highly publicized talks about satellite hacking. However, most only touch on the theoretical rather than demonstrate actual vulnerabilities and real world attack scenarios. This talk will demystify some of the technologies behind satellite communications and do what no one has done before - take the audience step-by-step from reverse engineering to exploitation of the GlobalStar simplex satcom protocol and demonstrate a full blown signals intelligence collection and spoofing capability. I will also demonstrate how an attacker might simulate critical conditions in satellite connected SCADA systems.
In recent years, Globalstar has gained popularity with the introduction of its consumer focused SPOT asset-tracking solutions. During the session, I'll deconstruct the transmitters used in these (and commercial) solutions and reveal design and implementation flaws that result in the ability to intercept, spoof, falsify, and intelligently jam communications. Due to design tradeoffs these vulnerabilities are realistically unpatchable and put millions of devices, critical infrastructure, emergency services, and high value assets at risk.
DEF CON 23: Spread Spectrum Satcom Hacking: Attacking The GlobalStar Simplex ...Synack
DEF CON 23
Recently there have been several highly publicized talks about satellite hacking. However, most only touch on the theoretical rather than demonstrate actual vulnerabilities and real world attack scenarios. This talk will demystify some of the technologies behind satellite communications and do what no one has done before - take the audience step-by-step from reverse engineering to exploitation of the GlobalStar simplex satcom protocol and demonstrate a full blown signals intelligence collection and spoofing capability. I will also demonstrate how an attacker might simulate critical conditions in satellite connected SCADA systems.
In recent years, Globalstar has gained popularity with the introduction of its consumer focused SPOT asset-tracking solutions. During the session, I’ll deconstruct the transmitters used in these (and commercial) solutions and reveal design and implementation flaws that result in the ability to intercept, spoof, falsify, and intelligently jam communications. Due to design tradeoffs these vulnerabilities are realistically unpatchable and put millions of devices, critical infrastructure, emergency services, and high value assets at risk.
Colby Moore is Synack's Manager of Special Activities. He works on the oddball and difficult problems that no one else knows how to tackle and strives to embrace the attacker mindset during all engagements. He is a former employee of VRL and has identified countless 0day vulnerabilities in embedded systems and major applications. In his spare time you will find him focusing on that sweet spot where hardware and software meet, usually resulting in very interesting consequences.
Cyclone DDS Unleashed: Scalability in DDS and Dealing with Large SystemsZettaScaleTechnology
Welcome to the second episode of the "Cyclone DDS Unleashed" webinar series.
During this session, Lex Heerink (our Software Architect) discusses some of the challenges that users face when using DDS to build large systems and some of the design and deployment choices that can be made to address these issues.
If your robots work in busy factories or warehouses and you want to level up their efficiency, this session is for you.
If you have any questions and you want to reach out, you can send us an email at contact@zettascale.tech or join our Discord channel: https://discord.gg/6GwdBxntxt
You can read more about Cyclone DDS on our website: https://www.zettascale.tech/product/cyclone
Stay up to date with the latest news:
Twitter: https://twitter.com/zettascaletech
LinkedIn: https://www.linkedin.com/company/zettascaletech/
Website: https://www.zettascale.tech/
Newsletter: http://eepurl.com/igPw31
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
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.
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
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
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.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
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.