Dependable integrated surveillance systems for the physical security of metro railways (POSTER)
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Poster presentation of the paper "Dependable integrated surveillance systems for the physical security of metro railways" at the 2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC-09)
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![Rail-based mass transit systems are vulnerable to many criminal acts, ranging from vandalism to terrorism. Therefore, security systems are employed in order to protect trains, tunnels, stations, lines and depots. In modern security systems, heterogeneous intrusion detection, access control, intelligent video-surveillance and sound detection devices are integrated in a cohesive Security Management System ( SMS ), providing a user-friendly graphical interface to the operators. The visualization of video streams is activated automatically when an alarm is generated by smart-cameras or other sensors, according to an event-driven approach. In case of emergencies, the procedural actions required to the operators involved are orchestrated by the SMS. Redundancy both in sensor dislocation and hardware apparels improve detection reliability, through alarm correlation, and overall system resiliency against both random and malicious threats. ,[object Object],[object Object],[object Object],Dependable integrated surveillance systems for the physical security of metro railways R a t i o n a l e Detection Reliability The combination of redundancy and diversity can be exploited to fine tune the POD ( Probability Of Detection ) and FAR ( False Alarm Rate ) parameters according to AND/OR logical relationships. For example: Giovanni Bocchetti, Francesco Flammini, Alfio Pappalardo, Concetta Pragliola C o n c l u s i o n s S y s t e m D e p e n d a b i l i t y S e c u r i t y M a n a g e m e n t S y s t e m System architecture is distributed and hierarchical, with both local and central control rooms collecting alarms according to different scopes and responsibilities. The data provided by heterogeneous sensors are collected by peripheral control centers, located in the stations, and then centralized in line control centers, located close to the traffic management center. Active Infrared Barrier FAR = P 1 F << 1 Intelligent Video Analytics FAR = P 2 F << 1 Infrared barrier AND Intelligent Video Analytics FAR = P 1 AND 2 F ≈ P 1 F · P 2 F ➩ P 1 AND 2 F << P 1 F , P 1 AND 2 F << P 2 F (similarly, POD is negatively affected, but the loss is not relevant as the gain in FAR, so the trade-off is generally advantageous) Future Works The system can integrate CBRNE ( Chemical Bacteriological Radiological Nuclear ) sensors to better face terror attacks. Novel technologies are being investigated using terahertz cameras to provide non intrusive weapon and explosive detection on passengers. It is in course of study the integration in the SMS of advanced mechanisms for event correlation based on expert systems, in order to provide early warning and decision support to detect suspicious behaviors as well as natural hazards (landslides, earthquakes, floods, etc.) by using smart-sensors. Information Security Security devices (e.g. sensors) differ in their capacity of providing information security. This can have an impact on system availability and also on safety, since the SMS is employed in critical infrastructure surveillance applications. Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC’09), 30 August - 2 September 2009, Como (Italy) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],These issues can be tackled by a dependable middleware which is able to integrate nodes of any nature. Nodes are “wrapped” by homogeneous embedded hardware and software providing information security (i.e. confidentiality, integrity and availability) by different techniques (cryptography, watchdogs, etc.).](https://image.slidesharecdn.com/astsicdsc09rev5-090904074828-phpapp01/85/Dependable-integrated-surveillance-systems-for-the-physical-security-of-metro-railways-POSTER-1-320.jpg)
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In this research work an Intrusion Detection System (IDS) and Intrusion Prevention System (IPS) will be implemented to detect and prevent critical networks infrastructure from cyber-attacks. To strengthen network security and improve the network's active defense intrusion detection capabilities, this project will consist of intrusion detection system using honey token based encrypted pointers and intrusion prevention system which based on the mixed interactive honeypot. The Intrusion Detection System (IDS) is based on the novel approach of Honey Token based Encrypted Pointers. This honey token inside the frame will serve as a trap for the attacker. All nodes operating within the working domain of critical infrastructure network are divided into four different pools. This division is based per their computational power and level of vulnerability. These pools are provided with different levels of security measures within the network. IDS use different number of Honey Tokens (HT) per frame for every different pool e.g. Pool-A contains 4 HT/frame, Pool-B contains 3 HT/frame, Pool-C contains 2 HT/frame and Pool-D contain 1 HT/frame. Moreover, every pool uses different types of encryption schemes (AES-128,192,256). Our critical infrastructure network of 64 nodes is under the umbrella of unified security provided by this single Network Intrusion Detection System (NIDS). After the design phase of IDS, we analyze the performance of IDS in terms of True Positives (TP) and False Negatives (FN). Finally, we test these IDS through Network Penetration Testing (NPT) phase. The detection rate depends on the number of honey tokens per frame. Our proposed IDS are a scalable solution and it can be implemented for any number of nodes in critical infrastructure network. However, in case of Intrusion Prevention System (IPS) we use Virtual honeypot technology which is the best active prevention technology among all honeypot technologies. By using the original operating system and virtual technology, the honeypot lures attackers in a pre-arranged manner, analyzes and audits various attacking behavior, tracks the attack source, obtains evidence, and finds effective solutions.
IJSRED-V2I2P22
This document describes a proposed traffic congestion control system using embedded systems and wireless sensor networks. The system would use sensors to monitor traffic density on roads and at intersections in real-time. A microcontroller would analyze the sensor data and dynamically adjust traffic light timing based on traffic conditions. The system would also provide priority to emergency vehicles by overriding the traffic light sequence to give them a green light upon detection. This would help reduce traffic congestion and delays for emergency vehicles responding to calls.
Autonomous sensor nodes for Structural Health Monitoring of bridges
This document discusses using autonomous sensor nodes and wireless sensor networks for structural health monitoring of bridges. It aims to detect damage in structures early through continuous monitoring. Sensor nodes containing microcontrollers, temperature, vibration and pressure sensors would be attached to bridges and transmit data wirelessly. This would make inspections more efficient and improve safety by identifying issues early. The document reviews related work using similar wireless sensor network systems for structural monitoring. It discusses the need for such monitoring in India given the increasing construction of large buildings and infrastructure. The objectives are outlined as detecting, locating, identifying and quantifying any damage. Hardware and software components are listed including ESP32 microcontrollers and sensors to measure temperature, vibration and pressure.
A Wireless Sensor Network ( Wsn )
This document provides an introduction to wireless sensor networks. It describes a wireless sensor network as a network consisting of distributed sensors that monitor conditions like temperature, sound, and pollutants and pass data to a central location. Each sensor node contains a radio transceiver, microcontroller, sensor interface electronics, and a power source. The sensors form a multi-hop network to transmit data across long distances. Event-driven wireless sensor networks only transmit messages when events of interest occur to avoid overloading the network and wasting energy.
IRJET- Smart Accident Detection and Emergency Notification System using IoT a...
This document describes a smart accident detection and emergency notification system using IoT and mobile computing. The system uses MEMS sensors to detect vehicle vibrations during an accident and ultrasonic sensors to calculate distance. It then sends accident location data like coordinates, time, and angle of impact to emergency contacts via GSM module. This is intended to reduce response time and save lives by quickly notifying authorities and loved ones after a crash when emergency services are lacking. The system architecture incorporates sensors, microcontroller, GPS, GSM and modules for user registration, location updating, and accident notification.
ZONeSEC_newsletter_issue_5
The document summarizes the results of the first pilot demonstration of the ZONeSEC project. The pilot took place in Spain and involved detecting physical and cyber intrusions across three locations - a traffic control center, weather station, and remote location in Cyprus monitored by a mini-UAV system. Sensors successfully detected intrusions along fences and inside facilities. Data was analyzed and alerts were raised and displayed through the Common Operational Picture. The next pilot will take place in Romania and demonstrate additional capabilities for securing water treatment facilities.
IRJET- A Survey on Human Action Recognition
This document discusses and surveys various methods for human action recognition in video surveillance systems. It describes methods for detecting, tracking, and recognizing human actions. For detection, it discusses background subtraction, optical flow, and other techniques. For tracking, it covers region-based, silhouette-based, feature-based, and model-based methods. It also evaluates the merits and limitations of different methods discussed in referenced papers, such as computational efficiency and accuracy. Overall, the document provides an overview of key techniques and challenges in building intelligent video surveillance systems capable of human action understanding.
Mine communication sysetms
The document discusses communication systems used in mines, including:
1. Centralized control rooms monitor and control mine operations using fiber optic networks transmitting real-time sensor data.
2. Person-to-person communication systems include PBX phone networks, two-way radios, and RFID-enabled equipment for emergency locating.
3. Machine operations are remotely controlled and automated systems communicate operational data for optimized resource utilization and emergency response.
Similar to Dependable integrated surveillance systems for the physical security of metro railways (POSTER) (20)
DESIGN AND PROTOTYPE OF A WIRELESS TAILGATE DETECTION SYSTEM USING SUN SPOT P...
DESIGN AND PROTOTYPE OF A WIRELESS TAILGATE DETECTION SYSTEM USING SUN SPOT P...
Light sec for utilities and critical infrastructure white paper
Light sec for utilities and critical infrastructure white paper
Control and indicating equipment communicating via the peripheral component i...
Control and indicating equipment communicating via the peripheral component i...
Traffic Density Control and Accident Indicator Using WSN
Traffic Density Control and Accident Indicator Using WSN
IRJET- Intruder Detection System using Camera with Alert Management
IRJET- Intruder Detection System using Camera with Alert Management
Image Processing Based Detecting and Tracking for Security System
Image Processing Based Detecting and Tracking for Security System
Personalized Driver Alerting System using object detection
Personalized Driver Alerting System using object detection
Disaster Debris Detection and Management System using WSN & IoT
Disaster Debris Detection and Management System using WSN & IoT
Literature on safety module for vehicular driver assistance
Literature on safety module for vehicular driver assistance
Intrusion detection and prevention system for network using Honey pots and Ho...
Intrusion detection and prevention system for network using Honey pots and Ho...
Autonomous sensor nodes for Structural Health Monitoring of bridges
Autonomous sensor nodes for Structural Health Monitoring of bridges
IRJET- Smart Accident Detection and Emergency Notification System using IoT a...
IRJET- Smart Accident Detection and Emergency Notification System using IoT a...
More from Francesco Flammini
TRA Visions Senior Researcher Award 2024.pdf
Transport Research Arena (TRA) Visions Senior Researcher Competition - RAIL Award 2024 Francesco Flammini
RAILS - Railway Gazette 2023 (Flammini).pdf
Interview of Prof. Francesco Flammini published on Railway Gazette about the Europe's Rail project "Roadmaps for A.I. Integration in the Rail Sector" (RAILS) that he led as the Technical Manager.
Award-Fedcsis Conference 2023.pdf
2023 Professor Zdzislaw Pawlak Award - International Cooperation, "Balancing Privacy and Accuracy in Federated Learning for Speech Emotion Recognition" (S. Mohammadi, M. Mohammadi, S. Sinaei, A. Balador, E. Nowroozi, F. Flammini, M. Conti), 18th Conference on Computer Science and Intelligence Systems (FedCSIS’23)
Internationalization of the Curriculum Conference Certificate
This certificate confirms that Francesco Flammini participated in a two-day symposium on internationalizing university curriculums held November 17-18, 2022 at the Polo Universitario Lugano - Campus EST in Lugano-Viganello, Switzerland. The event was organized by the Department of Innovative Technologies and the Swiss Global Competence Lab at the University of Applied Sciences and Arts of Southern Switzerland.
IEEE SMC TCHS Award Ceremony at IEEE CSR conference 2021
The IEEE SMC Technical Committee on Homeland Security (TCHS) held its annual award ceremony. Five awards were given to recognize outstanding leadership, research, service, early career contributions, and contributions by women in the field of homeland security. Award winners included Professor Isaac Ben-Israel for leadership, Professors Ernesto Damiani, Steven Furnell, and Igor Linkov for research and innovation, Stavros Shiaeles, Nicholas Kolokotronis, and Emanuele Bellini for service, Luca Faramondi for his early career contributions, and Cristina Alcaraz for her contributions and role modeling as a woman in the field.
Appreciation Certificate
Second International Colloquium on Recent Trends in Computer Science – 2021 (Vidyavardhaka College of Engineering, July 6th, 2021)
http://icrtcs.vvce.ac.in/
http://wing.vvce.ac.in/
https://www.youtube.com/watch?v=bd3p7Pl72Bw
Digital Twins for Trustworthy Autonomy
IEEE SMC Italian Chapter Virtual Lecture Series on
"Smart, PErvasive and Mobile Systems Engineering"
IEEE GCAIIoT 2020 certificate
Certificate of attendance of IEEE global conference on Artificial Intelligence and Internet of Things.
IEEE Intelligent Transportation Systems Conference 2020 - Low-Power Wide-Area...
Low-Power Wide-Area Networks in Intelligent Transportation: Review and Opportunities for Smart-Railways
Science of Computer Programming, Certificate of Reviewing
Francesco Flammini received an award from the journal Science of Computer Programming in recognition for contributing a review to the journal. The award has been presented since September 2020 and is given out based on reviews submitted to the journal. The Editors of Science of Computer Programming presented the award to Francesco Flammini.
ACM DSP appointment letter
Francesco Flammini has been appointed as a Distinguished Speaker for the Association for Computing Machinery (ACM) for a three year term. The ACM's Distinguished Speaker Program engages emerging professionals, students, and the public through leading researchers on topics in computing. Gabriele Kotsis, the ACM President, thanked Flammini for joining this prestigious program and lending his time to benefit the computing community.
“AI techniques in cyber-security applications”. Flammini lnu susec19
The document discusses using artificial intelligence techniques like Bayesian networks and event trees for cybersecurity applications. It describes how these techniques can help address issues with security operations centers being overwhelmed by too much information from various sensors and systems. Bayesian networks and event trees can help fuse data from different sources to detect threats more effectively. The document provides examples of how Bayesian networks can be built using historical threat data and customized for specific organizations. It also discusses how these models can be updated dynamically based on real-time data from systems.
IoT Research & Education at LNU
Embedded systems control devices and have dedicated functions, while cyber-physical systems intensively connect computational entities to the physical world. The research group at Linnaeus University studies cyber-physical systems and IoT security, developing techniques for smart troubleshooting of connected devices and applying IoT solutions to smart environments. They also provide IoT education to help students learn about these important topics.
Francesco Flammini - talk at DISCORAIL'19
- The document discusses virtual coupling, which aims to allow trains to operate closer together while maintaining safety. It explores extending ERTMS Level 3 to enable this through cooperative driving and dynamic train compositions.
- Preliminary simulations show a train joining a fleet in virtual coupling mode and coordinated emergency braking of the coupled trains. Further work is needed to fully implement and test virtual coupling.
Towards railway virtual coupling
This document discusses using virtual coupling to increase railway line capacity. Virtual coupling would allow trains to virtually join together by reducing headways. This could transfer achievements from vehicle platooning to railways. The document proposes a vision of virtual coupling integrated with ERTMS Level 3 moving block signaling. Trains would communicate position/speed and follow a desired spacing profile determined by the radio block center. A stochastic Petri net model is presented and simulated, showing virtual coupling could increase train frequency on a high-speed line from 20 to 100 trains per hour by reducing headways from 3 to 0.36 minutes. Compatibility with ERTMS standards is discussed.
Smart-Troubleshooting Symbiotic Autonomous Systems in the Connected Society
This document summarizes a presentation on smart troubleshooting of interconnected devices. It discusses how as devices become more connected and complex, troubleshooting failures is challenging. Research aims to gather error logs from different devices, analyze them to match fixes and instructions. This could help with troubleshooting in smart cities and transportation. The proposed approach would reuse a framework to model dependability and security. It is connected to research on symbiotic autonomous systems and addresses areas like big data, machine learning, and cybersecurity.
SuccesfulGrantApplications_Jan 23, 2017_certificate-506560
Francesco Flammini has received a Certificate of Completion for successfully completing a course on "Successful grant applications: getting it right" on Monday January 23, 2017. The certificate confirms Francesco Flammini's participation in and completion of the course on that specified date.
More from Francesco Flammini (20)
Internationalization of the Curriculum Conference Certificate
Internationalization of the Curriculum Conference Certificate
IEEE SMC TCHS Award Ceremony at IEEE CSR conference 2021
IEEE SMC TCHS Award Ceremony at IEEE CSR conference 2021
IEEE Intelligent Transportation Systems Conference 2020 - Low-Power Wide-Area...
IEEE Intelligent Transportation Systems Conference 2020 - Low-Power Wide-Area...
Science of Computer Programming, Certificate of Reviewing
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“AI techniques in cyber-security applications”. Flammini lnu susec19
“AI techniques in cyber-security applications”. Flammini lnu susec19
Ansaldo STS Innovation Award 2014 - Francesco Flammini
Ansaldo STS Innovation Award 2014 - Francesco Flammini
Smart-Troubleshooting Symbiotic Autonomous Systems in the Connected Society
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SuccesfulGrantApplications_Jan 23, 2017_certificate-506560
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Columbus Data & Analytics Wednesdays - June 2024
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Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Essentials of Automations: Exploring Attributes & Automation Parameters
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
Introduction of Cybersecurity with OSS at Code Europe 2024
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
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HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
HCL Notes and Domino License Cost Reduction in the World of DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
June Patch Tuesday
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
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“How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-eff...
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For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/how-axelera-ai-uses-digital-compute-in-memory-to-deliver-fast-and-energy-efficient-computer-vision-a-presentation-from-axelera-ai/
Bram Verhoef, Head of Machine Learning at Axelera AI, presents the “How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-efficient Computer Vision” tutorial at the May 2024 Embedded Vision Summit.
As artificial intelligence inference transitions from cloud environments to edge locations, computer vision applications achieve heightened responsiveness, reliability and privacy. This migration, however, introduces the challenge of operating within the stringent confines of resource constraints typical at the edge, including small form factors, low energy budgets and diminished memory and computational capacities. Axelera AI addresses these challenges through an innovative approach of performing digital computations within memory itself. This technique facilitates the realization of high-performance, energy-efficient and cost-effective computer vision capabilities at the thin and thick edge, extending the frontier of what is achievable with current technologies.
In this presentation, Verhoef unveils his company’s pioneering chip technology and demonstrates its capacity to deliver exceptional frames-per-second performance across a range of standard computer vision networks typical of applications in security, surveillance and the industrial sector. This shows that advanced computer vision can be accessible and efficient, even at the very edge of our technological ecosystem.[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor Ivaniuk
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
5th LF Energy Power Grid Model Meet-up Slides
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Mutation Testing for Task-Oriented Chatbots
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
Dandelion Hashtable: beyond billion requests per second on a commodity server
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...Edge AI and Vision Alliance
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.Recently uploaded (20)
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HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
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