Conferinta Securitate Web 2.0
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This document discusses the rise in phishing attacks in Romania from 2007 to 2009, with most attacks targeting the same institution in 2009. It also humorously suggests some "easy" ways to start phishing, such as using social media profiles and botnets to target individuals and their friends, though clearly intends this as a joke to illustrate the harms of phishing. The document ends by asking if the reader has any questions.
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Доклад посвящен деанонимизации активных пользователей интернета. На практике будет показано, как различные интернет-ресурсы следят или содержат информацию о пользователях и как ее можно использовать, чтобы вычислить, кто находится по ту сторону монитора для собственных (как плохих, так и хороших) нужд.
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(1) Crafting an online persona is important for professional branding and opportunities, but one must carefully define themselves for their intended audience and field, knowing that anything shared online can have long term consequences.
(2) Social shaming has a long history dating back to colonial times when public humiliation was seen as a worse punishment than death, and people today expose themselves online for attention from strangers in the same way.
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Доклад посвящен деанонимизации активных пользователей интернета. На практике будет показано, как различные интернет-ресурсы следят или содержат информацию о пользователях и как ее можно использовать, чтобы вычислить, кто находится по ту сторону монитора для собственных (как плохих, так и хороших) нужд.
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- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
Dmitrii Kamaev, PhD
Senior Product Owner - QIAGEN
5th LF Energy Power Grid Model Meet-up Slides
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
Apps Break Data
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
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).
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Conferinta Securitate Web 2.0
- 1. Web2.0 Spammer @ World: Follow me on Twitter!!! Alexandru Cătălin Coşoi Senior Researcher / AntiSpam Laboratory BitDefender
- 2. Twitter Spam
- 3. Blog Spam
- 5. Phishing in Romania (2007-2009) • 2007 – 7 attacks • 2008 – 26 attacks (50% targeting the same institution) • 2009 – 187 attacks already (98% targeting the same institution) • 2009 – 1’st ½ … anyone want to make a prediction? Don’t be fooled by randomness!
- 6. Now… why would anyone start phishing? – With the current market turmoil, what's the easiest way to make a small fortune? – Start off with a large one! • Quote of the day (from a trader): quot;This is worse than a divorce. I've lost half my net worth and I still have a wife • This market stinks so bad…that even Chuck Norris can’t make any money.
- 7. Well… I bet not anybody can phish!
- 8. Really… it must be more than this!!! 1. Open the yellow pages and pick someone 2. Search his name using a social media search-engine 3. If any SN profile found 1. Download images, posts, comments, friend 2. Create a phishing attack customized for this exact person. 3. Continue with his friends 4. Complicated? Too much work? Dial 1-800 BOTNET for an army of computers to do this for you PS: (success comes when the victim has profiles on more than one social network)
- 9. Questions?
Editor's Notes
- Web 2.0 is all about social networks. It’s all about user interaction, simplicity and usability. Content is submitted, reviewed and downloaded by users only. For many, this can be considered the definition of freedom, but where few laws apply, many bad things can happen.<number>
- Twitter Spam – Still in a incipient form<number>
- Henry stern – no education – couldn’t get a job<number>