Smart Router
•
0 likes•110 views
Smart Router presentation by Benjamin Nicodeme on May 31, 2018. The smart router project aims to detect compromised IoT devices.
Report
Share
Report
Share
Download to read offline
Recommended
AI on Spark for Malware Analysis and Anomalous Threat Detection
At Avast, we believe everyone has the right to be safe. We are dedicated to creating a world that provides safety and privacy for all, not matter where you are, who you are, or how you connect. With over 1.5 billion attacks stopped and 30 million new executable files monthly, big data pipelines are crucial for the security of our customers. At Avast we are leveraging Apache Spark machine learning libraries and TensorflowOnSpark for a variety of tasks ranging from marketing and advertisement, through network security to malware detection. This talk will cover our main cybersecurity usecases of Spark. After describing our cluster environment we will first demonstrate anomaly detection on time series of threats. Having thousands of types of attacks and malware, AI helps human analysts select and focus on most urgent or dire threats. We will walk through our setup for distributed training of deep neural networks with Tensorflow to deploying and monitoring of a streaming anomaly detection application with trained model. Next we will show how we use Spark for analysis and clustering of malicious files and large scale experimentation to automatically process and handle changes in malware. In the end, we will give comparison to other tools we used for solving those problems.
Mobile User Interface Design
This document discusses considerations for mobile UI design. It outlines the design process, including defining goals, creating a framework and feature list, prototyping with wireframes, and testing. Some key considerations mentioned are screen sizes and resolutions varying across devices, soft keys and hardware differences, and providing the most important information in a simple, fast way for mobile. Challenges in implementation can include limited memory, media playback, concurrent events, and call control features. The document provides sources on mobile design patterns, guidelines for major platforms, and examples of mobile app analyses.
Without App Standards, There's No Internet of Anything
Guy Martin, OIC Head of Digital Marketing, discusses the need for app standards within IoT, and how OIC is structured to begin delivering on a cross-platform common communications layer.
[WSO2Con EU 2017] Deriving Insights for Your Digital Business with Analytics
We are at the dawn of digital businesses that are re-imagined to make the best use of digital technologies, such as automation, analytics, cloud, and integration. These businesses are efficient, are continuously optimized, proactive, flexible and are able to understand customers in detail. This slide deck explores how the WSO2 analytics platform plays a role in your digital transformation journey.
“Visual Based Virtual Assistant System”
This document describes a proposed virtual assistant system that uses visual and voice inputs. The system is designed to perform desktop and internet tasks for users through natural language commands instead of requiring technical knowledge or manual typing. It will use speech recognition to understand voice commands and complete tasks like playing media files, opening applications, taking screenshots, and conducting web searches through interfaces. The proposed system will be a software application that users can download and install on their PCs. It will aim to provide an easy to use interface for non-technical users to control their computers through voice.
FYP2- Micro Search Engine for Iot
This document summarizes a student's final year project to develop a micro search engine for private IoT networks. The project's objectives were to review IoT search engine trends, design and implement a simple yet efficient and secure search engine, and evaluate its performance. The methodology included a literature review, design, security implementation, and testing. Results demonstrated the network setup, search engine flow, GUI, online/offline retrieval, and performance evaluation. Future work is identified to improve real-time search, network infrastructure, GUI, device implementation, and data exploitation. The primary goal of developing the micro search engine was achieved.
Enabling IoT devices to talk Web: The Community approach
Enabling IoT devices to talk Web: The Community approach
Presentation given at the 5th Fokus Web Media Symposium, May 2015, Berlin
Getting Started with IoT by Niraj Shah
This document discusses the key components needed for an Internet of Things (IoT) product, including required skill sets, areas to get started, and an example execution plan. It covers the basic building blocks of an IoT architecture, outlines skills in areas like firmware engineering, hardware, networking, security, data analysis, and software development. It also provides steps for taking an IoT idea from concept to market, including developing a proof of concept, specifications documentation, testing prototypes, and planning for marketing, finances, and mass production. Finally, it gives an example IoT product idea of a smart doorbell and highlights features addressed in its proof of concept testing.
Recommended
AI on Spark for Malware Analysis and Anomalous Threat Detection
At Avast, we believe everyone has the right to be safe. We are dedicated to creating a world that provides safety and privacy for all, not matter where you are, who you are, or how you connect. With over 1.5 billion attacks stopped and 30 million new executable files monthly, big data pipelines are crucial for the security of our customers. At Avast we are leveraging Apache Spark machine learning libraries and TensorflowOnSpark for a variety of tasks ranging from marketing and advertisement, through network security to malware detection. This talk will cover our main cybersecurity usecases of Spark. After describing our cluster environment we will first demonstrate anomaly detection on time series of threats. Having thousands of types of attacks and malware, AI helps human analysts select and focus on most urgent or dire threats. We will walk through our setup for distributed training of deep neural networks with Tensorflow to deploying and monitoring of a streaming anomaly detection application with trained model. Next we will show how we use Spark for analysis and clustering of malicious files and large scale experimentation to automatically process and handle changes in malware. In the end, we will give comparison to other tools we used for solving those problems.
Mobile User Interface Design
This document discusses considerations for mobile UI design. It outlines the design process, including defining goals, creating a framework and feature list, prototyping with wireframes, and testing. Some key considerations mentioned are screen sizes and resolutions varying across devices, soft keys and hardware differences, and providing the most important information in a simple, fast way for mobile. Challenges in implementation can include limited memory, media playback, concurrent events, and call control features. The document provides sources on mobile design patterns, guidelines for major platforms, and examples of mobile app analyses.
Without App Standards, There's No Internet of Anything
Guy Martin, OIC Head of Digital Marketing, discusses the need for app standards within IoT, and how OIC is structured to begin delivering on a cross-platform common communications layer.
[WSO2Con EU 2017] Deriving Insights for Your Digital Business with Analytics
We are at the dawn of digital businesses that are re-imagined to make the best use of digital technologies, such as automation, analytics, cloud, and integration. These businesses are efficient, are continuously optimized, proactive, flexible and are able to understand customers in detail. This slide deck explores how the WSO2 analytics platform plays a role in your digital transformation journey.
“Visual Based Virtual Assistant System”
This document describes a proposed virtual assistant system that uses visual and voice inputs. The system is designed to perform desktop and internet tasks for users through natural language commands instead of requiring technical knowledge or manual typing. It will use speech recognition to understand voice commands and complete tasks like playing media files, opening applications, taking screenshots, and conducting web searches through interfaces. The proposed system will be a software application that users can download and install on their PCs. It will aim to provide an easy to use interface for non-technical users to control their computers through voice.
FYP2- Micro Search Engine for Iot
This document summarizes a student's final year project to develop a micro search engine for private IoT networks. The project's objectives were to review IoT search engine trends, design and implement a simple yet efficient and secure search engine, and evaluate its performance. The methodology included a literature review, design, security implementation, and testing. Results demonstrated the network setup, search engine flow, GUI, online/offline retrieval, and performance evaluation. Future work is identified to improve real-time search, network infrastructure, GUI, device implementation, and data exploitation. The primary goal of developing the micro search engine was achieved.
Enabling IoT devices to talk Web: The Community approach
Enabling IoT devices to talk Web: The Community approach
Presentation given at the 5th Fokus Web Media Symposium, May 2015, Berlin
Getting Started with IoT by Niraj Shah
This document discusses the key components needed for an Internet of Things (IoT) product, including required skill sets, areas to get started, and an example execution plan. It covers the basic building blocks of an IoT architecture, outlines skills in areas like firmware engineering, hardware, networking, security, data analysis, and software development. It also provides steps for taking an IoT idea from concept to market, including developing a proof of concept, specifications documentation, testing prototypes, and planning for marketing, finances, and mass production. Finally, it gives an example IoT product idea of a smart doorbell and highlights features addressed in its proof of concept testing.
Internet of things - what is really happening
This document discusses the Internet of Things (IoT) market and key technologies. It attempts to map the IoT market across three axes: open vs closed ecosystems, instrumenting machines vs the physical world, and autonomous devices vs collaborative ecosystems. Some of the big players in IoT like Google, Microsoft, Amazon, GE and Cisco are mentioned. Key IoT components discussed include radios/communication, real-time analytics platforms, sensors, data collection, and actuators. Security, scaleability, and open standards are identified as important technologies for IoT. The document also briefly discusses what is happening in Norway's IoT market and opportunities in health, oil/gas, transportation, and other sectors.
OWASP Québec: Threat Modeling Toolkit - Jonathan Marcil
Threat Modeling is a great way to analyze security early in software development by structuring possible attacks, bad actors and countermeasures over a broad view of the targeted system. This talk will describe basic components of a threat model and how to use them effectively. Threat Intelligence is where you gather knowledge about the environment and business assets to determine what are the actual threats. But how do you reconcile that with the current architecture in a useful manner? The toolkit presented in this talk will enable you to systematically structure related information using graphical notations such as flow diagram and attack tree. In case you are wondering where to start in your organization, a quick lightweight risk rating methodology will also be proposed. And in the end, you’ll see how we can all tie those together and get threat modeling to a point where it’s an efficient application security activity for communication. Doing this will prevent security reviews from missing important things even when chaos prevails during the realization of a project. Modeling concepts will be demonstrated with an actual IoT device used as example.
https://www.owasp.org/index.php/Quebec_City
https://twitter.com/jonathanmarcil
Cytoscape: Now and Future
Presentation slides for Ideker Lab meeting on 12/1/2014. Briefly describes current status of the projects and future vision.
Providing a Holistic, Service-Oriented Infrastructure for Integration of Real...
This document discusses SAP's Enterprise Services Architecture (ESA) and how it aims to integrate real-world data and events from devices like RFID and sensors into business processes and enterprise software. The ESA uses a service-oriented approach and OSGi standards to connect real-world "smart items" to SAP applications and analytics tools. This will allow for new applications like predictive maintenance, adaptive production, and effective recycling based on real-time device data from the field.
OSINT: Open Source Intelligence - Rohan Braganza
Speaker is going to conduct hands-on training on how an individual can use Open-source intelligence (OSINT) to collect data from publicly available sources. Speaker will showcase tools and techniques used in collecting information from the public sources.
https://nsconclave.net-square.com/advanced-reconnaissance-using-OSINT.html
Juraj vysvader - Python developer's CV
This document discusses the author's experience developing open source code for content management systems (CMS) that has been used in over 63,000 projects. It notes that thousands of web developers have used the author's code without knowing who they are. It then lists various web development and automation services offered by the author, including the technologies used, typical project timelines, potential cost savings, competitive pricing ranges, and the author's own prices to hire them directly for fixed-cost projects.
Architecting IoT with Machine Learning
The document discusses how machine learning can help architect Internet of Things (IoT) systems for widespread consumer adoption. It describes three examples of using machine learning with IoT data: (1) identifying patterns of risky drivers to adjust insurance premiums, (2) predicting short-term driving behavior to improve road safety, and (3) using long-term driving history with recurrent neural networks to provide customized nudging to change driver behavior over time. The document argues that machine learning can create value from IoT data and benefit consumers by making systems safer, lowering costs, and incentivizing good behaviors.
Data Summer Conf 2018, “Architecting IoT system with Machine Learning (ENG)” ...
In this presentation, the speaker will share his experiences from building successful IoT systems. He will also explain why many IoT systems fail to get traction and how Machine Learning can help in that. Finally, he will talk about the right system architecture and touch upon some of the ML algorithms for IoT systems.
How to maximize profit from IoT by using data platform - Albert Lewandowski, ...
Learn more about it here: https://www.youtube.com/watch?v=6mSg6ij0Fak
Albert presents how effectively gather functional requirements for sensor data analytics, which aspects are the most important for designing IoT data platform and which steps needs to be taken to implement such solution to gain great return on investment.
Watch our webinar about profit from IoT: https://www.youtube.com/watch?v=6mSg6ij0Fak&t=3s
If you would like to read something more about IoT, please do not hesitate to download our white paper "Data Analytics for Industrial Internet of Things": https://getindata.com/blog/white-paper-big-data-analytics-industrial-internet-things/
Speaker: Albert Lewandowski
Linkedin: https://www.linkedin.com/in/albert-lewandowski/
___
Getindata is a company founded in 2014 by ex-Spotify data engineers. From day one our focus has been on Big Data projects. We bring together a group of best and most experienced experts in Poland, working with cloud and open-source Big Data technologies to help companies build scalable data architectures and implement advanced analytics over large data sets.
Our experts have vast production experience in implementing Big Data projects for Polish as well as foreign companies including i.a. Spotify, Play, Truecaller, Kcell, Acast, Allegro, ING, Agora, Synerise, StepStone, iZettle and many others from the pharmaceutical, media, finance and FMCG industries.
https://getindata.com
MDW Boulder April '11 | Scott Prindle_The Role of the Creative Technologst
MDW Boulder April '11 | Scott Prindle_The Role of the Creative Technologst Boulder Digital Works at CU
1) The role of the creative technologist is to integrate programming and software development skills into the creative and strategic process.
2) Creative technologists write code, lead strategic thinking for digital platforms, and bring emerging technology ideas into concepting.
3) They help manage complexity, build prototypes, enable agile workflows, and spark creative thinking through technology research.IRJET- Smart Mirror using Virtual Voice Assistant
This document describes a smart mirror device that functions as both a mirror and a source of daily information accessible through voice commands. The smart mirror was built using a Raspberry Pi 3+ microcomputer connected to a monitor and speakers. It can provide weather updates, news, and allow users to search the internet or perform calculations through voice commands. This creates an effortless way to access information within the home compared to using a smartphone or television. The document reviews related smart mirror projects and outlines the hardware and software components used to build this prototype smart mirror system.
RESUME
Srikant Reddy Duvvuru is seeking opportunities in network/software engineering. He has a MS in Computer Engineering from San Jose State University and a BE in Electronics and Communications Engineering from VTU, India. His relevant experience includes a software engineering internship at Trimble Navigation where he developed a network application product. His technical skills include C, C++, Python, Visual Studio, OPNET, Wireshark, and networking protocols. His projects include designing a protocol for verifying client identity, configuring a distributed file system, and analyzing LAN characteristics using networking devices in OPNET.
IEEE - Consumer Electronics Trends Opportunities (2015)
Growth of CE and its critical role in various advances including sensors, displays, machine intelligence, automotive and other areas. Invited Lecture at Oxford.
PinTrace Advanced AWS meetup
The document discusses distributed tracing at Pinterest. It provides an overview of distributed tracing, describes the motivation and architecture of Pinterest's tracing system called PinTrace, and discusses challenges faced and lessons learned. PinTrace collects trace data from services using instrumentation and sends it to a collector via a Kafka pipeline. This allows PinTrace to provide insights into request flows and performance bottlenecks across Pinterest's microservices. Key challenges included ensuring data quality, scaling the infrastructure, and user education on tracing.
Machine Learning on dirty data - Dataiku - Forum du GFII 2014
Intervention de Florian Douetteau, CEO, Dataiku au Forum du GFII 2014.
Atelier : "De la Business Intelligence aux analyses prédictives grâce aux Big Data", le 08/12/14.
Abstract : Le prédictif est la nouvelle frontière de la « data intelligence ». Les premiers développements industriels voient le jour, illustrant concrètement l'apport de ces approches pour administrer plus efficacement des systèmes complexes (ville intelligente, transports, énergie, maintenance, etc.), pour outiller la prise de décision dans la gestion du risque (naturel, industriel, client, économique, financier, etc.) ou pour affiner la personnalisation des offres et la recommandation dans le marketing et la publicité.
Quelles que soient les applications, il ne s'agitpas de prévoir l'avenir mais de réduire l'incertitude en modélisant des probabilités et des scénarios d'évolution. Les technologies sont entrées dans une phase opérationnelle. Les avancées du Big Data dans la modélisation, le machine learning, ou l'algorithmique sémantique apportent désormais la puissance calculatoire qui faisait auparavant défaut pour fouiller les vastes ensembles de données non-structurées disponibles sur le web, les média sociaux et l'internet des objets.
Au-delà des défis en termes de R&D, l'enjeu aujourd'hui est de simplifier l'accès aux approches prédictives pour en démocratiser les usages dans les différents métiers. Des solutions innovantes sont développées pour faciliter la conception de modèles et simplifier le développement d'applications "Web Services" ou "BI Mobile" pour mieux toucher les décideurs. Les modes de distribution en cloud permettent de mutualiser les ressources. Des modèles économiques innovants sont également expérimentés par les fournisseurs de solutions pour réduire les coûts d'accès aux technologies et essaimer dans les entreprises.
Le Forum du GFII consacrera un atelier sur ce thème. Des fournisseurs de solutions interviendront pour présenter des cas d'usages en Business Intelligence, en maintenance prédictive et dans la gestion du risque naturel.
Source : http://forum.gfii.fr/forum/de-la-business-intelligence-au-predictif-grace-aux-big-data
Internet of things using Raspberry Pi
Concept of Internet Of Things.Design of Prototype Using Raspberry Pi and Xbee Technology.Future Application Of Internet Of things.
FinalPPT-StJoseph (3).pptx
This document discusses emerging technology trends in IT, including artificial intelligence, big data, internet of things, cloud computing, augmented reality and virtual reality, and blockchains. It provides examples of how these technologies are being applied and developed. It also discusses concepts like industrial intelligent automation, intelligent transportation systems, the future of work, and characteristics of future IT platforms.
biggest technology trends
biggest technology trends
Artificial Intelligence
Data Science
Internet of Things
Nanotechnology
Robotic Process Automation (RPA)
Virtual Reality
Edge Computing
Intelligent apps
More Technology Trends
19507334023_NURISMA Z.D._PPT P PRADANA.pptx
Cloud computing bukanlah satu bagian dari teknologi seperti microchip atau telepon genggam. Sebaliknya, ini merupakan sebuah sistem yang utamanya terdiri dari tiga layanan: software-as-a-service (SaaS), infrastructure-as-a-service (IaaS), dan platform-as-a-service (PaaS).
K&K smart connected devices, internet of things
Presentation by Wouter Konings of Konings & Kappelhoff design agency. Given on the Internet of Things (IoT) event 2014
An introduction to similarity search and k-nn graphs
Similarity search is an essential component of machine learning algorithms. However, performing efficient similarity search can be extremely challenging, especially if the dataset is distributed between multiple computers, and even more if the similarity measure is not a metric. With the rise of Big Data processing, these challenging datasets are actually more and more common. In this presentation we show how k nearest neighbors (k-nn) graphs can be used to perform similarity search, clustering and anomaly detection.
Blockchain for dummies
Blockchain is a distributed database that records transactions in chronological order in digitally signed blocks. Each block contains a cryptographic hash linking it to the previous block, forming a chain. Miners on the network verify and record new transactions in blocks, which are then broadcast to the network. While branching can occur, the blockchain resolves it automatically by continuing on the longest branch. Tampering with past transactions requires overcoming the main branch through computational power. The first blockchain application was Bitcoin, which uses this structure to record ownership of digital currency through public/private key cryptography.
More Related Content
Similar to Smart Router
Internet of things - what is really happening
This document discusses the Internet of Things (IoT) market and key technologies. It attempts to map the IoT market across three axes: open vs closed ecosystems, instrumenting machines vs the physical world, and autonomous devices vs collaborative ecosystems. Some of the big players in IoT like Google, Microsoft, Amazon, GE and Cisco are mentioned. Key IoT components discussed include radios/communication, real-time analytics platforms, sensors, data collection, and actuators. Security, scaleability, and open standards are identified as important technologies for IoT. The document also briefly discusses what is happening in Norway's IoT market and opportunities in health, oil/gas, transportation, and other sectors.
OWASP Québec: Threat Modeling Toolkit - Jonathan Marcil
Threat Modeling is a great way to analyze security early in software development by structuring possible attacks, bad actors and countermeasures over a broad view of the targeted system. This talk will describe basic components of a threat model and how to use them effectively. Threat Intelligence is where you gather knowledge about the environment and business assets to determine what are the actual threats. But how do you reconcile that with the current architecture in a useful manner? The toolkit presented in this talk will enable you to systematically structure related information using graphical notations such as flow diagram and attack tree. In case you are wondering where to start in your organization, a quick lightweight risk rating methodology will also be proposed. And in the end, you’ll see how we can all tie those together and get threat modeling to a point where it’s an efficient application security activity for communication. Doing this will prevent security reviews from missing important things even when chaos prevails during the realization of a project. Modeling concepts will be demonstrated with an actual IoT device used as example.
https://www.owasp.org/index.php/Quebec_City
https://twitter.com/jonathanmarcil
Cytoscape: Now and Future
Presentation slides for Ideker Lab meeting on 12/1/2014. Briefly describes current status of the projects and future vision.
Providing a Holistic, Service-Oriented Infrastructure for Integration of Real...
This document discusses SAP's Enterprise Services Architecture (ESA) and how it aims to integrate real-world data and events from devices like RFID and sensors into business processes and enterprise software. The ESA uses a service-oriented approach and OSGi standards to connect real-world "smart items" to SAP applications and analytics tools. This will allow for new applications like predictive maintenance, adaptive production, and effective recycling based on real-time device data from the field.
OSINT: Open Source Intelligence - Rohan Braganza
Speaker is going to conduct hands-on training on how an individual can use Open-source intelligence (OSINT) to collect data from publicly available sources. Speaker will showcase tools and techniques used in collecting information from the public sources.
https://nsconclave.net-square.com/advanced-reconnaissance-using-OSINT.html
Juraj vysvader - Python developer's CV
This document discusses the author's experience developing open source code for content management systems (CMS) that has been used in over 63,000 projects. It notes that thousands of web developers have used the author's code without knowing who they are. It then lists various web development and automation services offered by the author, including the technologies used, typical project timelines, potential cost savings, competitive pricing ranges, and the author's own prices to hire them directly for fixed-cost projects.
Architecting IoT with Machine Learning
The document discusses how machine learning can help architect Internet of Things (IoT) systems for widespread consumer adoption. It describes three examples of using machine learning with IoT data: (1) identifying patterns of risky drivers to adjust insurance premiums, (2) predicting short-term driving behavior to improve road safety, and (3) using long-term driving history with recurrent neural networks to provide customized nudging to change driver behavior over time. The document argues that machine learning can create value from IoT data and benefit consumers by making systems safer, lowering costs, and incentivizing good behaviors.
Data Summer Conf 2018, “Architecting IoT system with Machine Learning (ENG)” ...
In this presentation, the speaker will share his experiences from building successful IoT systems. He will also explain why many IoT systems fail to get traction and how Machine Learning can help in that. Finally, he will talk about the right system architecture and touch upon some of the ML algorithms for IoT systems.
How to maximize profit from IoT by using data platform - Albert Lewandowski, ...
Learn more about it here: https://www.youtube.com/watch?v=6mSg6ij0Fak
Albert presents how effectively gather functional requirements for sensor data analytics, which aspects are the most important for designing IoT data platform and which steps needs to be taken to implement such solution to gain great return on investment.
Watch our webinar about profit from IoT: https://www.youtube.com/watch?v=6mSg6ij0Fak&t=3s
If you would like to read something more about IoT, please do not hesitate to download our white paper "Data Analytics for Industrial Internet of Things": https://getindata.com/blog/white-paper-big-data-analytics-industrial-internet-things/
Speaker: Albert Lewandowski
Linkedin: https://www.linkedin.com/in/albert-lewandowski/
___
Getindata is a company founded in 2014 by ex-Spotify data engineers. From day one our focus has been on Big Data projects. We bring together a group of best and most experienced experts in Poland, working with cloud and open-source Big Data technologies to help companies build scalable data architectures and implement advanced analytics over large data sets.
Our experts have vast production experience in implementing Big Data projects for Polish as well as foreign companies including i.a. Spotify, Play, Truecaller, Kcell, Acast, Allegro, ING, Agora, Synerise, StepStone, iZettle and many others from the pharmaceutical, media, finance and FMCG industries.
https://getindata.com
MDW Boulder April '11 | Scott Prindle_The Role of the Creative Technologst
MDW Boulder April '11 | Scott Prindle_The Role of the Creative Technologst Boulder Digital Works at CU
1) The role of the creative technologist is to integrate programming and software development skills into the creative and strategic process.
2) Creative technologists write code, lead strategic thinking for digital platforms, and bring emerging technology ideas into concepting.
3) They help manage complexity, build prototypes, enable agile workflows, and spark creative thinking through technology research.IRJET- Smart Mirror using Virtual Voice Assistant
This document describes a smart mirror device that functions as both a mirror and a source of daily information accessible through voice commands. The smart mirror was built using a Raspberry Pi 3+ microcomputer connected to a monitor and speakers. It can provide weather updates, news, and allow users to search the internet or perform calculations through voice commands. This creates an effortless way to access information within the home compared to using a smartphone or television. The document reviews related smart mirror projects and outlines the hardware and software components used to build this prototype smart mirror system.
RESUME
Srikant Reddy Duvvuru is seeking opportunities in network/software engineering. He has a MS in Computer Engineering from San Jose State University and a BE in Electronics and Communications Engineering from VTU, India. His relevant experience includes a software engineering internship at Trimble Navigation where he developed a network application product. His technical skills include C, C++, Python, Visual Studio, OPNET, Wireshark, and networking protocols. His projects include designing a protocol for verifying client identity, configuring a distributed file system, and analyzing LAN characteristics using networking devices in OPNET.
IEEE - Consumer Electronics Trends Opportunities (2015)
Growth of CE and its critical role in various advances including sensors, displays, machine intelligence, automotive and other areas. Invited Lecture at Oxford.
PinTrace Advanced AWS meetup
The document discusses distributed tracing at Pinterest. It provides an overview of distributed tracing, describes the motivation and architecture of Pinterest's tracing system called PinTrace, and discusses challenges faced and lessons learned. PinTrace collects trace data from services using instrumentation and sends it to a collector via a Kafka pipeline. This allows PinTrace to provide insights into request flows and performance bottlenecks across Pinterest's microservices. Key challenges included ensuring data quality, scaling the infrastructure, and user education on tracing.
Machine Learning on dirty data - Dataiku - Forum du GFII 2014
Intervention de Florian Douetteau, CEO, Dataiku au Forum du GFII 2014.
Atelier : "De la Business Intelligence aux analyses prédictives grâce aux Big Data", le 08/12/14.
Abstract : Le prédictif est la nouvelle frontière de la « data intelligence ». Les premiers développements industriels voient le jour, illustrant concrètement l'apport de ces approches pour administrer plus efficacement des systèmes complexes (ville intelligente, transports, énergie, maintenance, etc.), pour outiller la prise de décision dans la gestion du risque (naturel, industriel, client, économique, financier, etc.) ou pour affiner la personnalisation des offres et la recommandation dans le marketing et la publicité.
Quelles que soient les applications, il ne s'agitpas de prévoir l'avenir mais de réduire l'incertitude en modélisant des probabilités et des scénarios d'évolution. Les technologies sont entrées dans une phase opérationnelle. Les avancées du Big Data dans la modélisation, le machine learning, ou l'algorithmique sémantique apportent désormais la puissance calculatoire qui faisait auparavant défaut pour fouiller les vastes ensembles de données non-structurées disponibles sur le web, les média sociaux et l'internet des objets.
Au-delà des défis en termes de R&D, l'enjeu aujourd'hui est de simplifier l'accès aux approches prédictives pour en démocratiser les usages dans les différents métiers. Des solutions innovantes sont développées pour faciliter la conception de modèles et simplifier le développement d'applications "Web Services" ou "BI Mobile" pour mieux toucher les décideurs. Les modes de distribution en cloud permettent de mutualiser les ressources. Des modèles économiques innovants sont également expérimentés par les fournisseurs de solutions pour réduire les coûts d'accès aux technologies et essaimer dans les entreprises.
Le Forum du GFII consacrera un atelier sur ce thème. Des fournisseurs de solutions interviendront pour présenter des cas d'usages en Business Intelligence, en maintenance prédictive et dans la gestion du risque naturel.
Source : http://forum.gfii.fr/forum/de-la-business-intelligence-au-predictif-grace-aux-big-data
Internet of things using Raspberry Pi
Concept of Internet Of Things.Design of Prototype Using Raspberry Pi and Xbee Technology.Future Application Of Internet Of things.
FinalPPT-StJoseph (3).pptx
This document discusses emerging technology trends in IT, including artificial intelligence, big data, internet of things, cloud computing, augmented reality and virtual reality, and blockchains. It provides examples of how these technologies are being applied and developed. It also discusses concepts like industrial intelligent automation, intelligent transportation systems, the future of work, and characteristics of future IT platforms.
biggest technology trends
biggest technology trends
Artificial Intelligence
Data Science
Internet of Things
Nanotechnology
Robotic Process Automation (RPA)
Virtual Reality
Edge Computing
Intelligent apps
More Technology Trends
19507334023_NURISMA Z.D._PPT P PRADANA.pptx
Cloud computing bukanlah satu bagian dari teknologi seperti microchip atau telepon genggam. Sebaliknya, ini merupakan sebuah sistem yang utamanya terdiri dari tiga layanan: software-as-a-service (SaaS), infrastructure-as-a-service (IaaS), dan platform-as-a-service (PaaS).
K&K smart connected devices, internet of things
Presentation by Wouter Konings of Konings & Kappelhoff design agency. Given on the Internet of Things (IoT) event 2014
Similar to Smart Router (20)
OWASP Québec: Threat Modeling Toolkit - Jonathan Marcil
OWASP Québec: Threat Modeling Toolkit - Jonathan Marcil
Providing a Holistic, Service-Oriented Infrastructure for Integration of Real...
Providing a Holistic, Service-Oriented Infrastructure for Integration of Real...
Data Summer Conf 2018, “Architecting IoT system with Machine Learning (ENG)” ...
Data Summer Conf 2018, “Architecting IoT system with Machine Learning (ENG)” ...
How to maximize profit from IoT by using data platform - Albert Lewandowski, ...
How to maximize profit from IoT by using data platform - Albert Lewandowski, ...
MDW Boulder April '11 | Scott Prindle_The Role of the Creative Technologst
MDW Boulder April '11 | Scott Prindle_The Role of the Creative Technologst
IEEE - Consumer Electronics Trends Opportunities (2015)
IEEE - Consumer Electronics Trends Opportunities (2015)
Machine Learning on dirty data - Dataiku - Forum du GFII 2014
Machine Learning on dirty data - Dataiku - Forum du GFII 2014
More from Thibault Debatty
An introduction to similarity search and k-nn graphs
Similarity search is an essential component of machine learning algorithms. However, performing efficient similarity search can be extremely challenging, especially if the dataset is distributed between multiple computers, and even more if the similarity measure is not a metric. With the rise of Big Data processing, these challenging datasets are actually more and more common. In this presentation we show how k nearest neighbors (k-nn) graphs can be used to perform similarity search, clustering and anomaly detection.
Blockchain for dummies
Blockchain is a distributed database that records transactions in chronological order in digitally signed blocks. Each block contains a cryptographic hash linking it to the previous block, forming a chain. Miners on the network verify and record new transactions in blocks, which are then broadcast to the network. While branching can occur, the blockchain resolves it automatically by continuing on the longest branch. Tampering with past transactions requires overcoming the main branch through computational power. The first blockchain application was Bitcoin, which uses this structure to record ownership of digital currency through public/private key cryptography.
Building a Cyber Range for training Cyber Defense Situation Awareness
The document discusses building a cyber range for training cyber defense situation awareness. It outlines that cyber defense training requires simulating complex networks and situations while training more than just technical skills. It recommends training using the Boyd and Endsley decision making model, which involves three levels - perception, comprehension, and projection. The cyber range implementation involves text scenarios, variable trainee numbers, vagrant images to configure virtual machines, and examples of individual and team cyber situation awareness training.
Design and analysis of distributed k-nearest neighbors graph algorithms
THÈSE pour obtenir le grade de docteur délivré par TELECOM ParisTech. Spécialité « INFORMATIQUE et RESEAUX ».
A comparative analysis of visualisation techniques to achieve CySA in the mi...
This document presents a comparative analysis of different visualization techniques for achieving cyber situational awareness (CySA) in the military. It discusses a 3D operational picture and a Cyber Common Operational Picture (CyCOP) that were modeled using a fictional scenario of physical nodes and cyber elements. The analysis looks at the complementarity, multi-format representations, reporting capabilities, data feeds, granularity, decision support, and mission orientation of each technique. Future work is proposed to validate the techniques using experiments, develop objective CySA measures, and improve the visualizations using data classification and artificial intelligence.
Easy Server Monitoring
Presentation of the Easy Server Monitoring project by Bilal Talhaoui on May 31, 2018.
Web shell detector
The document describes a webshell detector system that analyzes files and directories for malicious webshells. It uses multiple detection techniques including entropy analysis, checking for dangerous system routines, obfuscation detection, signature matching, and fuzzy hashing. The system is implemented as a Composer library that can also be run as a command line tool to analyze files and directories and detect webshells.
Graph based APT detection
This document discusses graph-based detection of advanced persistent threats (APTs) that rely on HTTP traffic. It proposes building a graph linking each HTTP request to its parent using proxy logs, and pruning the weighted graph to isolate APT activity. An experimental evaluation uses real network logs injected with simulated APT traces to rank suspicious domains, with parameters tuned using cross-validation. Challenges include differentiating APTs from content delivery networks and other legitimate multi-site domains.
Multi-Agent System for APT Detection
Presentation at the 2nd IEEE International Workshop on Reliability and Security Data Analysis (RSDA 2014) on 4 November 2014
Building k-nn Graphs From Large Text Data
This document discusses building k-nearest neighbor graphs from large text data. It presents a method called CTPH that uses locality-sensitive hashing to efficiently construct k-nn graphs at scale. The method was tested on datasets of 200k to 800k spam subject lines. Results showed CTPH was up to 10x faster than alternative map-reduce approaches while achieving reasonable recall, though recall was limited. Future work to improve recall and evaluate graph quality was discussed.
Determining the k in k-means with MapReduce
This document describes a MapReduce algorithm for determining the optimal k value in k-means clustering. It presents the G-means algorithm, which uses recursive k-means clustering and normality testing to split clusters until all points are normally distributed around cluster centers. The document outlines challenges in implementing G-means in MapReduce, and describes solutions to reduce I/O, jobs, maximize parallelism and limit memory usage. It compares the proposed MapReduce G-means approach to existing multi-k-means methods, finding it has better quality and comparable speed on synthetic datasets.
Parallel SPAM Clustering with Hadoop
The document discusses parallelizing spam clustering using Apache Hadoop. It presents an implementation of k-means clustering on a dataset of 1 million spam emails distributed across Apache Hadoop. The implementation abstracts the k-means algorithm and defines mappers and reducers to run the algorithm in parallel. Benchmark results show the Hadoop implementation is faster than a sequential approach and scales well with additional nodes. Analysis of overhead shows sorting to be the largest contributor. The document concludes there is room for further optimization of the system.
More from Thibault Debatty (15)
An introduction to similarity search and k-nn graphs
An introduction to similarity search and k-nn graphs
Building a Cyber Range for training Cyber Defense Situation Awareness
Building a Cyber Range for training Cyber Defense Situation Awareness
Design and analysis of distributed k-nearest neighbors graph algorithms
Design and analysis of distributed k-nearest neighbors graph algorithms
A comparative analysis of visualisation techniques to achieve CySA in the mi...
A comparative analysis of visualisation techniques to achieve CySA in the mi...
Recently uploaded
制作原版1:1(Monash毕业证)莫纳什大学毕业证成绩单办理假
退学买莫纳什大学毕业证>【微信176555708】办理莫纳什大学毕业证成绩单【微信176555708】Monash毕业证成绩单Monash学历证书Monash文凭【Monash毕业套号文凭网认证莫纳什大学毕业证成绩单】【哪里买莫纳什大学毕业证文凭Monash成绩学校快递邮寄信封】【开版莫纳什大学文凭】Monash留信认证本科硕士学历认证1:1完美还原海外各大学毕业材料上的工艺：水印阴影底纹钢印LOGO烫金烫银LOGO烫金烫银复合重叠。文字图案浮雕激光镭射紫外荧光温感复印防伪。
可办理以下真实莫纳什大学存档留学生信息存档认证：
1莫纳什大学真实留信网认证（网上可查永久存档无风险百分百成功入库）；
2真实教育部认证（留服）等一切高仿或者真实可查认证服务（暂时不可办理）；
3购买英美真实学籍（不用正常就读直接出学历）；
4英美一年硕士保毕业证项目（保录取学校挂名不用正常就读保毕业）
留学本科/硕士毕业证书成绩单制作流程：
1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询莫纳什大学莫纳什大学毕业证offer）；
2开始安排制作莫纳什大学毕业证成绩单电子图；
3莫纳什大学毕业证成绩单电子版做好以后发送给您确认；
4莫纳什大学毕业证成绩单电子版您确认信息无误之后安排制作成品；
5莫纳什大学成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）
— — — — — — — — — — — 《文凭顾问微信：176555708》
可查真实(Monash毕业证)西澳大学毕业证成绩单退学买
办理假西澳大学毕业证【微信176555708】购买,办理Monash成绩单,Monash毕业证制作【微信176555708】【西澳大学毕业证】，Monash毕业证购买，Monash学位证，西澳大学学位证【Monash成绩单制作】【Monash毕业证文凭 Monash本科 澳洲学历认证原版制作【diploma certificate degree transcript 】【留信网认证，本科，硕士，海归，博士，排名，成绩单】代办国外（海外）澳洲、韩国、加拿大、新西兰等各大学毕业证。 ?我们对海外大学及学院的毕业证成绩单所使用的材料，尺寸大小，防伪结构（包括：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。 文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）都有原版本文凭对照。#一整套西澳大学文凭证件办理#—包含西澳大学西澳大学毕业证成绩单学历认证|使馆认证|归国人员证明|教育部认证|留信网认证永远存档教育部学历学位认证查询办理国外文凭国外学历学位认证#我们提供全套办理服务。
一整套留学文凭证件服务：
一：西澳大学西澳大学毕业证成绩单毕业证 #成绩单等全套材料从防伪到印刷水印底纹到钢印烫金
二：真实使馆认证（留学人员回国证明）使馆存档
三：真实教育部认证教育部存档教育部留服网站永久可查
四：留信认证留学生信息网站永久可查
国外毕业证学位证成绩单办理方法：
1客户提供办理西澳大学西澳大学毕业证成绩单信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）。
教育部文凭学历认证认证的用途：
如果您计划在国内发展那么办理国内教育部认证是必不可少的。事业性用人单位如银行国企公务员在您应聘时都会需要您提供这个认证。其他私营 #外企企业无需提供！办理教育部认证所需资料众多且烦琐所有材料您都必须提供原件我们凭借丰富的经验帮您快速整合材料让您少走弯路。
实体公司专业为您服务如有需要请联系我: 微信176555708
国外证书(Lincoln毕业证)新西兰林肯大学毕业证成绩单不能毕业办理
退学办理新西兰林肯大学毕业证【微信176555708】学历认证怎么做：原版仿制新西兰林肯大学电子版成绩单毕业证认证【新西兰林肯大学毕业证成绩单】、新西兰林肯大学文凭证书成绩单复刻offer录取通知书、购买Lincoln圣力嘉学院本科毕业证、【新西兰林肯大学毕业证办理Lincoln毕业证书哪里买】、新西兰林肯大学 Offer在线办理Lincoln Offer新西兰林肯大学Bachloer Degree。1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：微信176555708我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）。
7完成交易删除客户资料
高精端提供以下服务：
一：新西兰林肯大学新西兰林肯大学毕业证文凭证书全套材料从防伪到印刷水印底纹到钢印烫金
二：真实使馆认证（留学人员回国证明）使馆存档
三：真实教育部认证教育部存档教育部留服网站可查
四：留信认证留学生信息网站可查
五：与学校颁发的相关证件1:1纸质尺寸制定（定期向各大院校毕业生购买最新版本毕,业证成绩单保证您拿到的是鲁昂大学内部最新版本毕业证成绩单微信176555708）
A.为什么留学生需要操作留信认证?
留信认证全称全国留学生信息服务网认证,隶属于北京中科院。①留信认证门槛条件更低,费用更美丽,并且包过,完单周期短,效率高②留信认证虽然不能去国企,但是一般的公司都没有问题,因为国内很多公司连基本的留学生学历认证都不了解。这对于留学生来说,这就比自己光拿一个证书更有说服力,因为留学学历可以在留信网站上进行查询!
B.为什么我们提供的毕业证成绩单具有使用价值？
查询留服认证是国内鉴别留学生海外学历的唯一途径但认证只是个体行为不是所有留学生都操作所以没有办理认证的留学生的学历在国内也是查询不到的他们也仅仅只有一张文凭。所以这时候我们提供的和学校颁发的一模一样的毕业证成绩单就有了使用价值。
重新申请毕业证书(RMIT毕业证)皇家墨尔本理工大学毕业证成绩单精仿办理
不能毕业办理【RMIT毕业证【微信176555708】皇家墨尔本理工大学文凭学历】【微信176555708】【皇家墨尔本理工大学文凭学历证书】【皇家墨尔本理工大学毕业证书与成绩单样本图片】毕业证书补办 Fake Degree做学费单【毕业证明信-推荐信】成绩单，录取通知书，Offer，在读证明，雅思托福成绩单，真实大使馆教育部认证，回国人员证明，留信网认证。网上存档永久可查！全套服务：皇家墨尔本理工大学皇家墨尔本理工大学本科学位证成绩单真实回国人员证明 #真实教育部认证。让您回国发展信心十足#铸就十年品质！信誉！实体公司！可以视频看办公环境样板如需办理真实可查可以先到公司面谈勿轻信小中介黑作坊！
可以提供皇家墨尔本理工大学钢印 #水印 #烫金 #激光防伪 #凹凸版 #最新版的毕业证 #百分之百让您绝对满意
印刷DHL快递毕业证 #成绩单7个工作日真实大使馆教育部认证1个月。为了达到高水准高效率
请您先以qq或微信的方式对我们的服务进行了解后如果有皇家墨尔本理工大学皇家墨尔本理工大学本科学位证成绩单帮助再进行电话咨询。
国外毕业证学位证成绩单如何办理：
1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）；
2开始安排制作皇家墨尔本理工大学毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）。
留学学历(UoA毕业证)奥克兰大学毕业证成绩单官方原版办理
制做办理奥克兰大学学历证书＜176555708微信＞【毕业证明信-推荐信做学费单＞【微信176555708】【制作UoA毕业证文凭认证奥克兰大学毕业证成绩单购买】【UoA毕业证书】{奥克兰大学文凭购买}】成绩单，录取通知书，Offer，在读证明，雅思托福成绩单，真实大使馆教育部认证，回国人员证明，＞【制作UoA毕业证文凭认证奥克兰大学毕业证成绩单购买】【UoA毕业证书】{奥克兰大学文凭购买}留信网认证。
奥克兰大学学历证书＜微信176555708（一对一服务包括毕业院长签字,专业课程,学位类型,专业或教育领域,以及毕业日期.不要忽视这些细节.这两份文件同样重要!毕业证成绩单文凭留信网学历认证！）[留学文凭学历认证(留信认证使馆认证)奥克兰大学毕业证成绩单毕业证证书大学Offer请假条成绩单语言证书国际回国人员证明高仿教育部认证申请学校等一切高仿或者真实可查认证服务。
多年留学服务公司,拥有海外样板无数能完美1:1还原海外各国大学degreeDiplomaTranscripts等毕业材料。海外大学毕业材料都有哪些工艺呢？工艺难度主要由：烫金.钢印.底纹.水印.防伪光标.热敏防伪等等组成。而且我们每天都在更新海外文凭的样板以求所有同学都能享受到完美的品质服务。
国外毕业证学位证成绩单办理方法：
1客户提供办理奥克兰大学奥克兰大学硕士毕业证成绩单信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）
— — — — 我们是挂科和未毕业同学们的福音我们是实体公司精益求精的工艺！ — — — -
一真实留信认证的作用(私企外企荣誉的见证):
1：该专业认证可证明留学生真实留学身份同时对留学生所学专业等级给予评定。
2：国家专业人才认证中心颁发入库证书这个入网证书并且可以归档到地方。
3：凡是获得留信网入网的信息将会逐步更新到个人身份内将在公安部网内查询个人身份证信息后同步读取人才网入库信息。
4：个人职称评审加20分个人信誉贷款加10分。
5：在国家人才网主办的全国网络招聘大会中纳入资料供国家500强等高端企业选择人才。
Should Repositories Participate in the Fediverse?
Presentation for OR2024 making the case that repositories could play a part in the "fediverse" of distributed social applications
学位认证网(DU毕业证)迪肯大学毕业证成绩单一比一原版制作
24小时办理【微信176555708】【毕业证明信-推荐信做学费单】成绩单，录取通知书，Offer，在读证明，雅思托福成绩单，真实大使馆教育部认证，回国人员证明，留信网认证。网上存档永久可查！
degree，Transcripts（一对一服务包括毕业院长签字,专业课程,学位类型,专业或教育领域,以及毕业日期.不要忽视这些细节.这两份文件同样重要!毕业证成绩单文凭留信网学历认证！）如果您是以下情况，我们都能竭诚为您解决实际问题：【公司采用定金+余款的付款流程，以最大化保障您的利益，让您放心无忧】
1、在校期间，因各种原因未能顺利毕业，拿不到官方迪肯大学毕业证+微信176555708；
2、面对父母的压力，希望尽快拿到；
3、不清楚流程以及材料该如何准备；
4、回国时间很长，忘记办理毕业证丢失 学历认证《迪肯大学毕业证》微信176555708《DU学位证书购买》
学位证书验证；
5、回国马上就要找工作，办给用人单位看；
6、企事业单位必须要求办理学历证书 英文《迪肯大学毕业证》微信176555708《DU学位证书购买》
本科毕业证书扫描件的；
微信176555708面向迪肯大学毕业留学生提供以下服务:
【★迪肯大学毕业证、成绩单等全套材料，从防伪到印刷，从水印到钢印烫金，与学校100%相同】
【★大学学历 硕士学位《迪肯大学毕业证》微信176555708《DU学位证书购买》
硕士毕业证】
【★毕业证书范本】
【★真实留信认证，留信网入库存档，可查】
主营项目：
a.办理海外毕业证认证《迪肯大学毕业证》微信176555708《DU学位证书购买》
学位证书英文版，改成绩单，Offer、在读证明、学生卡、信封、证明信等全套材料，从防伪到印刷，从水印到钢印烫金，高精仿度跟学校原版100%相同.
b.真实使馆认证（即留学人员回国证明），使馆存档可通过大使馆查询确认.
c.真实教育部国外学历学位认证，教育部存档，教育部留服网站100%可查.
d.留信网认证，国家专业人才认证中心颁发入库证书，留信网存档可查.
e.招聘中介代理：本公司诚聘各地代理人员以及留学生，如果你有业余时间，有兴趣就请联系我们，我们会给到您的回报！期待您的加盟：一朝办理，终身受益（本信息长期有效）互惠互利，为广大海内外学子及有需要的人士在事业上跨过这道门槛！
【业务选择办理准则】
1.如果您只是为了的应付父母亲戚朋友看下迪肯大学毕业证，那么办理一份学位即可
2.如果您是为了回国找工作，只是进私营企业或者外企，那么办理一份多大学历认证有时间限制吗《迪肯大学毕业证》微信176555708《DU学位证书购买》
毕业证丢失补办即可，因为私营企业或者外企是不能查询学位真假的！
3.如果您是要进国企银行事业单位考公务员等就需办理真实学历认证！
诚招代理：本公司诚聘当地合作代理人员，如果你有业余时间，有兴趣就请联系我们。
成绩单ps(UST毕业证)圣托马斯大学毕业证成绩单快速办理
一比一原版制作UST毕业证【微信176555708】圣托马斯大学毕业证书原版↑制作圣托马斯大学学历认证文凭办理圣托马斯大学留信网认证,留学回国办理毕业证成绩单文凭学历认证【微信176555708】专业为海外学子办理毕业证成绩单、文凭制作，学历仿制，回国人员证明、做文凭，研究生、本科、硕士学历认证、留信认证、结业证、学位证书样本、美国教育部认证百分百真实存档可查】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
◆◆◆◆◆ — — — — — — — — 【留学教育】留学归国服务中心 — — — — — -◆◆◆◆◆
【主营项目】
一.毕业证【微信：176555708】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【微信：176555708】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分→ 【关于价格问题（保证一手价格）
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
学历顾问：微信：176555708
制作毕业证书(ANU毕业证)莫纳什大学毕业证成绩单官方原版办理
在线办理莫纳什大学毕业证【微信：176555708】(ANU毕业证书)成绩单学位证【微信：176555708】，留信认证（真实可查，永久存档）纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。#一整套莫纳什大学文凭证件办理#—包含莫纳什大学莫纳什大学毕业证文凭证书学历认证|使馆认证|归国人员证明|教育部认证|留信网认证永远存档教育部学历学位认证查询办理国外文凭国外学历学位认证#我们提供全套办理服务。
一整套留学文凭证件服务：
一：莫纳什大学莫纳什大学毕业证文凭证书毕业证 #成绩单等全套材料从防伪到印刷水印底纹到钢印烫金
二：真实使馆认证（留学人员回国证明）使馆存档
三：真实教育部认证教育部存档教育部留服网站永久可查
四：留信认证留学生信息网站永久可查
国外毕业证学位证成绩单办理方法：
1客户提供办理莫纳什大学莫纳什大学毕业证文凭证书信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）。
教育部文凭学历认证认证的用途：
如果您计划在国内发展那么办理国内教育部认证是必不可少的。事业性用人单位如银行国企公务员在您应聘时都会需要您提供这个认证。其他私营 #外企企业无需提供！办理教育部认证所需资料众多且烦琐所有材料您都必须提供原件我们凭借丰富的经验帮您快速整合材料让您少走弯路。
实体公司专业为您服务如有需要请联系我: 微信176555708
办理毕业证(UPenn毕业证)宾夕法尼亚大学毕业证成绩单快速办理
官方原版办理宾夕法尼亚大学毕业证【微信176555708】学历认证怎么做：原版仿制宾夕法尼亚大学电子版成绩单毕业证认证【宾夕法尼亚大学毕业证成绩单】、宾夕法尼亚大学文凭证书成绩单复刻offer录取通知书、购买UPenn圣力嘉学院本科毕业证、【宾夕法尼亚大学毕业证办理UPenn毕业证书哪里买】、宾夕法尼亚大学 Offer在线办理UPenn Offer宾夕法尼亚大学Bachloer Degree。（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
◆◆◆◆◆ — — — — — — — — 【留学教育】留学归国服务中心 — — — — — -◆◆◆◆◆
【主营项目】
一.毕业证【微信：176555708】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【微信：176555708】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分→ 【关于价格问题（保证一手价格）
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
学历顾问：微信：176555708
Gen Z and the marketplaces - let's translate their needs
The product workshop focused on exploring the requirements of Generation Z in relation to marketplace dynamics. We delved into their specific needs, examined the specifics in their shopping preferences, and analyzed their preferred methods for accessing information and making purchases within a marketplace. Through the study of real-life cases , we tried to gain valuable insights into enhancing the marketplace experience for Generation Z.
The workshop was held on the DMA Conference in Vienna June 2024.
Discover the benefits of outsourcing SEO to India
"Discover the benefits of outsourcing SEO to India! From cost-effective services and expert professionals to round-the-clock work advantages, learn how your business can achieve digital success with Indian SEO solutions.
不能毕业如何获得(USYD毕业证)悉尼大学毕业证成绩单一比一原版制作
挂科购买☀【悉尼大学毕业证购买】【微信176555708】【USYD毕业证模板办理】加拿大文凭、本科、硕士、研究生学历都可以做,二、业务范围：
★、全套服务：毕业证、成绩单、化学专业毕业证书伪造【悉尼大学大学毕业证】微信176555708【USYD学位证书购买】◆◆◆◆◆ — — — 归国服务中心 — — -◆◆◆◆◆
【主营项目】
一.毕业证、成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
国外毕业证、学位证、成绩单办理流程：
1、客户提供办理信息：姓名、生日、专业、学位、毕业时间等（如信息不确定可以咨询顾问：【微信176555708】我们有专业老师帮你查询）；
2、开始安排制作毕业证、成绩单电子图；
3、毕业证、成绩单电子版做好以后发送给您确认；
4、毕业证、成绩单电子版您确认信息无误之后安排制作成品；
5、成品做好拍照或者视频给您确认；
6、快递给客户（国内顺丰，国外DHL、UPS等快读邮寄）。
专业服务，请勿犹豫联系我！本公司是留学创业和海归创业者们的桥梁。一次办理，终生受用，一步到位，高效服务。详情请在线咨询办理,欢迎有诚意办理的客户咨询!洽谈。
◆招聘代理：本公司诚聘英国、加拿大、澳洲、新西兰、加拿大、法国、德国、新加坡各地代理人员，如果你有业余时间，有兴趣就请联系我们咨询【微信176555708】
没文凭怎么找工作。让您回国发展信心十足！
★、真实教育部学历学位认证；（一对一专业服务，可全程监控跟踪进度）
★、真实使馆认证，可以通过大使馆查询确认；（即教育部留服认证，不成功不收费）
★、毕业证、成绩单等材料，从防伪到印刷、水印到钢印烫金，高精仿度都是跟学校原版100%相同的；（敬请放心使用）
★、可以提供钢印、水印、烫金、激光防伪、凹凸版、最新版的毕业证、百分之百让您绝对满意、
★、印刷，DHL快递毕业证、成绩单7个工作日，真实大使馆教育部认证1个月。为了达到高水准高效率。
Search Result Showing My Post is Now Buried
Search results burying my post that used to rank before Google's March 2024 algorithm update.
存档可查的(USC毕业证)南加利福尼亚大学毕业证成绩单制做办理
精仿办理南加利福尼亚大学毕业证成绩单（【微信176555708】）毕业证学历认证OFFER专卖国外文凭学历学位证书办理澳洲文凭|澳洲毕业证,澳洲学历认证,澳洲成绩单【微信176555708】 澳洲offer,教育部学历认证及使馆认证永久可查 ,国外毕业证|国外学历认证,国外学历文凭证书 USC毕业证，USC毕业证，USC毕业证，USC毕业证，USC毕业证，USC毕业证【微信176555708】，USC毕业证，专业为留学生办理毕业证、成绩单、使馆留学回国人员证明、教育部学历学位认证、录取通知书、Offer、（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
◆◆◆◆◆ — — — — — — — — 【留学教育】留学归国服务中心 — — — — — -◆◆◆◆◆
【主营项目】
一.毕业证【微信：176555708】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【微信：176555708】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分→ 【关于价格问题（保证一手价格）
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
学历顾问：微信：176555708
HijackLoader Evolution: Interactive Process Hollowing
CrowdStrike researchers have identified a HijackLoader (aka IDAT Loader) sample that employs sophisticated evasion techniques to enhance the complexity of the threat. HijackLoader, an increasingly popular tool among adversaries for deploying additional payloads and tooling, continues to evolve as its developers experiment and enhance its capabilities.
In their analysis of a recent HijackLoader sample, CrowdStrike researchers discovered new techniques designed to increase the defense evasion capabilities of the loader. The malware developer used a standard process hollowing technique coupled with an additional trigger that was activated by the parent process writing to a pipe. This new approach, called "Interactive Process Hollowing", has the potential to make defense evasion stealthier.
留学挂科(UofM毕业证)明尼苏达大学毕业证成绩单复刻办理
精仿办理明尼苏达大学学历证书＜176555708微信＞【毕业证明信-推荐信做学费单＞【微信176555708】【制作UofM毕业证文凭认证明尼苏达大学毕业证成绩单购买】【UofM毕业证书】{明尼苏达大学文凭购买}】成绩单，录取通知书，Offer，在读证明，雅思托福成绩单，真实大使馆教育部认证，回国人员证明，＞【制作UofM毕业证文凭认证明尼苏达大学毕业证成绩单购买】【UofM毕业证书】{明尼苏达大学文凭购买}留信网认证。
明尼苏达大学学历证书＜微信176555708（一对一服务包括毕业院长签字,专业课程,学位类型,专业或教育领域,以及毕业日期.不要忽视这些细节.这两份文件同样重要!毕业证成绩单文凭留信网学历认证！）（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
◆◆◆◆◆ — — — — — — — — 【留学教育】留学归国服务中心 — — — — — -◆◆◆◆◆
【主营项目】
一.毕业证【微信：176555708】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【微信：176555708】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分→ 【关于价格问题（保证一手价格）
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
学历顾问：微信：176555708
办理毕业证(NYU毕业证)纽约大学毕业证成绩单官方原版办理
退学买【纽约大学毕业证认证】【办证微信176555708】【纽约大学文凭毕业证制作】【NYU学历学位证书哪里买】办理纽约大学学位证书扫描件、办理纽约大学雅思证书！
国际留学归国服务中心【如何办纽约大学毕业证认证】【NYU学位证书扫描件哪里买】实体公司，注册经营，行业标杆，精益求精！（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
◆◆◆◆◆ — — — — — — — — 【留学教育】留学归国服务中心 — — — — — -◆◆◆◆◆
【主营项目】
一.毕业证【微信：176555708】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【微信：176555708】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分→ 【关于价格问题（保证一手价格）
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
学历顾问：微信：176555708
Recently uploaded (20)
Gen Z and the marketplaces - let's translate their needs
Gen Z and the marketplaces - let's translate their needs
HijackLoader Evolution: Interactive Process Hollowing
HijackLoader Evolution: Interactive Process Hollowing
Smart Router
- 1. Smart Router project Benjamin Nicodeme 31 May 2018
- 2. Smart Router • Objectives • Tools • Design • Sniffing • Analysing • Alerting • Future work • Conclusion Goal - Tools - Design - Sniffing - Analysing - Alerting - Future work - Conclusion
- 3. Objectives • Detect malicious IoT traffic • SOHO network • Generate logs & alerts Objectives - Tools - Design - Sniffing - Analysing - Alerting - Future work - Conclusion
- 4. Tools • Python3 • OpenWRT • Scapy • SQLite3 • lighttpd • Vagrant Objectives - Tools - Design - Sniffing - Analysing - Alerting - Future work - Conclusion
- 5. Design Smart Router Internet Servers Smart light IP camera Smart TV Computer Random IoT device Objectives - Tools - Design - Sniffing - Analysing - Alerting - Future work - Conclusion
- 6. Design Smart Router Internet Servers Smart light IP camera Smart TV Computer Random IoT device Objectives - Tools - Design - Sniffing - Analysing - Alerting - Future work - Conclusion
- 7. Standard traffic Design Objectives - Tools - Design - Sniffing - Analysing - Alerting - Future work - Conclusion
- 8. Standard traffic Design Objectives - Tools - Design - Sniffing - Analysing - Alerting - Future work - Conclusion
- 9. Standard traffic Design Objectives - Tools - Design - Sniffing - Analysing - Alerting - Future work - Conclusion
- 10. Design Sniffed traffic Objectives - Tools - Design - Sniffing - Analysing - Alerting - Future work - Conclusion
- 11. Design Objectives - Tools - Design - Sniffing - Analysing - Alerting - Future work - Conclusion
- 12. Design Infected IoT traffic Objectives - Tools - Design - Sniffing - Analysing - Alerting - Future work - Conclusion
- 13. Design Infected IoT traffic Objectives - Tools - Design - Sniffing - Analysing - Alerting - Future work - Conclusion
- 14. Design Infected IoT traffic Smart Tv is infected ! Objectives - Tools - Design - Sniffing - Analysing - Alerting - Future work - Conclusion
- 15. Sniffing samsung.com 1.1.1.1 DNS 8.8.8.8 Objectives - Tools - Design - Sniffing - Analysing - Alerting - Future work - Conclusion
- 16. Sniffing samsung.com 1.1.1.1 DNS 8.8.8.8 Q:What is samsung.com Ip address ? Objectives - Tools - Design - Sniffing - Analysing - Alerting - Future work - Conclusion
- 17. Sniffing samsung.com 1.1.1.1 DNS 8.8.8.8 Q:What is samsung.com Ip address ? Objectives - Tools - Design - Sniffing - Analysing - Alerting - Future work - Conclusion
- 18. Sniffing samsung.com 1.1.1.1 DNS 8.8.8.8 A:samsung.com ip address is 1.1.1.1 Objectives - Tools - Design - Sniffing - Analysing - Alerting - Future work - Conclusion
- 19. Sniffing samsung.com 1.1.1.1 DNS 8.8.8.8 samsung.com: 1.1.1.1 1.1.1.1 = samsung.com Objectives - Tools - Design - Sniffing - Analysing - Alerting - Future work - Conclusion
- 20. Sniffing samsung.com 1.1.1.1 DNS 8.8.8.8 1.1.1.1 = samsung.com SmartTv -> 1.1.1.1 Objectives - Tools - Design - Sniffing - Analysing - Alerting - Future work - Conclusion
- 21. Sniffing samsung.com 1.1.1.1 DNS 8.8.8.8 1.1.1.1 = samsung.com SmartTv -> 1.1.1.1 Objectives - Tools - Design - Sniffing - Analysing - Alerting - Future work - Conclusion SmartTv -> samsung.com
- 22. Analysing Objectives - Tools - Design - Sniffing - Analysing - Alerting - Future work - Conclusion
- 23. Analysing Traffic of one IoT across time Objectives - Tools - Design - Sniffing - Analysing - Alerting - Future work - Conclusion
- 24. Analysing Learning period Traffic of one IoT across time Time Objectives - Tools - Design - Sniffing - Analysing - Alerting - Future work - Conclusion
- 25. Analysing Learning period Traffic of one IoT across time Time ‘Trusted’ domains Objectives - Tools - Design - Sniffing - Analysing - Alerting - Future work - Conclusion
- 26. Analysing ‘Untrusted’ domains Time Learning period Traffic of one IoT across time ‘Trusted’ domains Objectives - Tools - Design - Sniffing - Analysing - Alerting - Future work - Conclusion
- 27. Analysing ‘Untrusted’ domains Time Learning period Traffic of one IoT across time ‘Trusted’ domains Objectives - Tools - Design - Sniffing - Analysing - Alerting - Future work - Conclusion
- 28. Alerting Objectives - Tools - Design - Sniffing - Analysing - Alerting - Future work - Conclusion
- 29. Alerting • Web server • Slack Objectives - Tools - Design - Sniffing - Analysing - Alerting - Future work - Conclusion
- 30. Future work • Web Configuration • Dynamic IoT discover • Machine learning • Support more protocols • . . . Objectives - Tools - Design - Sniffing - Analysing - Alerting - Future work - Conclusion
- 31. Conclusion
- 32. Questions ?