On Relaying NFC Payment Transactions using Android devicescgvwzq
NFC (Near Field Communication) defines the set of RFID standards designed to bidirectionally communicate via wireless and interchange data point-to-point between devices in proximity, normally a few centimeters (up to 10cm). Services that use NFC communications as contactless payments are exponentially growing: Public transport, parkings, fast supermarket cashers, vending machines and even NFC-capable credit/debit cards.In this talk, we investigate relay attacks in NFC-capable credit/debit cards. This attack exploits the communication proximity principle in NFC, which is shown to be non secure. Although a lot of attack countermeasures exist, they do not face with this attack vector since up to date special hardware was required to perform it. However, the story is rewritten with the NFC-capable mobile devices available in the market.
This work shows how nowadays a relay attack in NFC-capable credit/debit cards is possible using an NFC-capable Android device without further modifications (i.e., no root permissions, custom firmware, or custom OS are required). A PoC app implementing the attack is shown in the talk, as well as distributed relay attack scenarios that might become real before long.
On Relaying NFC Payment Transactions using Android devicescgvwzq
NFC (Near Field Communication) defines the set of RFID standards designed to bidirectionally communicate via wireless and interchange data point-to-point between devices in proximity, normally a few centimeters (up to 10cm). Services that use NFC communications as contactless payments are exponentially growing: Public transport, parkings, fast supermarket cashers, vending machines and even NFC-capable credit/debit cards.In this talk, we investigate relay attacks in NFC-capable credit/debit cards. This attack exploits the communication proximity principle in NFC, which is shown to be non secure. Although a lot of attack countermeasures exist, they do not face with this attack vector since up to date special hardware was required to perform it. However, the story is rewritten with the NFC-capable mobile devices available in the market.
This work shows how nowadays a relay attack in NFC-capable credit/debit cards is possible using an NFC-capable Android device without further modifications (i.e., no root permissions, custom firmware, or custom OS are required). A PoC app implementing the attack is shown in the talk, as well as distributed relay attack scenarios that might become real before long.
This is a quick overview slides that will give readers an understanding about Microsoft's offering in the Data and Artificial Intelligence space.
For any questions, feel free to schedule a meeting or drop me a line.
The macro and political backdrops are much different today than they were twelve months ago. I wrapped up the 2022 report when interest rates were near zero, and crypto markets and the S&P sat at all-time highs. We didn’t have a single proxy war with a nuclear-armed adversary! And we had Dem- ocratic leadership in both chambers of Congress.
Portfolios are down 80% since then. Crypto startups are (sometimes) required to have business models before VCs cut checks, and nine figure checks might (maybe) begin to include board oversight. The separation of money and state feels inevitable as countries are getting canceled. Real policy is taking shape in DC, and the outlook for regulatory progress is somewhat rosier.
Is this the dark before the dawn, or the beginning of a long Arctic winter? I believe in crypto.
Bitcoin and Ethereum seem to be on long-term stable ground. DeFi will take major strides forward next year. Privacy tech will be promoted as an integral part of the future of public blockchains (or get de facto banned on dystopian and vague “national security” grounds). Infrastructure investments around code security, decentralized hardware, virtual worlds, custody, protocol governance, and block- chain scalability are all in vogue. There will be less NFT speculation. Fewer moon fumes.
I will probably spend more time in this report deconstructing crypto policy than you would like, but I’ll make fun of important people along the way to keep it zippy.
Once again, this beast took me 200 hours to write. That’s a lot, but it’s also down about 20% from last year. I thank the Messari analyst team for those cost savings. They write good stuff daily for Messari Pro subscribers, and you should sign up. If you’re an institution or crypto startup, stop missing key insights: our Enterprise-level offering give your company the research and data tools you need to save more time, energy, and long-term compliance costs on day-to-day crypto work.
In 2022, Messari tripled our team size and revenue in a down market. We closed a Series B, launched several new products (Asset Intelligence, Protocol Metrics, Data Apps), and doubled the size of Main- net 2022 in NYC. We’re still hiring. Come with me if you want to live.
Every year, people ask me how I write all this stuff in such a short amount of time. Mostly, it’s a labor of love. I am grateful to have the opportunity to build in this industry, and we appreciate the builders who have supported us through thick and thin. This report is a token of appreciation.
But if I’m being honest, there’s also a certain amount of rage that fueled this report. The bad actors have gotten all of the oxygen this year, and set back the good actors and years of progress that they had made.
I hope The Theses shifts the focus away from the frauds and the tourists, and back to the pioneers. I wrote this in the pioneers’ defense.
Software companies have been moving into the payments space over the last few years in a major way. A number of vertical software companies have embedded payments functionality into their solutions – creating a better experience for end-users, businesses and their customers – and are capturing economics in the process. Other software companies have built payments solutions addressing vertical specific pain points. In doing so, they have been able to take market share from generic horizontal providers and open greenfield opportunities.
Catalyst has a wealth of experience backing businesses in this space (MindBody, ChowNow, Weave, and WeddingWire, among others). We believe we will see this trend continue to accelerate for years to come and are eager to partner with more of these businesses seeking growth equity capital.
At Catalyst, we employ a proactive, research-based approach to investing, targeting sectors experiencing outstanding growth. If you are an owner, operator or investor in a growth stage Vertical Payments Software company, we would like to hear from you. Please send inquiries and business plans to kirk@catalyst.com & grady@catalyst.com.
Patterns for Payment Systems IntegrationGary Farrow
This article describes enterprise patterns for payment systems integration. A comprehensive model of payments systems processing is presented based on suggested TOGAF Architectural Building Blocks (ABBs). Different configurations of the ABBs give rise to different patterns, each being useful in specific business or system scenarios.
AI邊緣運算實作: TensorFlow Lite for MCU
https://bit.ly/3j2fIIt
[1]python程式設計
https://bit.ly/359cz4m
[2]AI機器學習&深度學習
http://bit.ly/2KDZZz4
[3]TensorFlow Lite for MCU
https://bit.ly/3j2fIIt
Tiny ML for spark Fun Edge
https://www.ittraining.com.tw/ittraining/it-elearning/el-ai/ai-tensorflow-lite-for-mcu
TensorFlow Lite for MCU正是專為邊緣裝置設計的TensorFlow模型預測框架,是TensorFlow的精簡版本,讓開發者可以在物聯網與嵌入式裝置中部署微型機器學習模型。 本課程將教授AI模型如何佈署於微控制器,包含模型訓練、模型最佳化以及TensorFlow Lite框架的程式開發等。此外,在實作上以Sparkfun edge board (ARM cortex M4)為例,說明如何以TensorFlow Lite 進行微控制器上面的人工智慧開發專案,包含人臉偵測、關鍵字的字詞偵測、姿態識別、異常偵測等。
https://youtu.be/RHvROP94qZ0
AI邊緣運算實作: TensorFlow Lite for MCU
https://bit.ly/3j2fIIt
[1]python程式設計
https://bit.ly/359cz4m
[2]AI機器學習&深度學習
http://bit.ly/2KDZZz4
[3]TensorFlow Lite for MCU
https://bit.ly/3j2fIIt
This is a quick overview slides that will give readers an understanding about Microsoft's offering in the Data and Artificial Intelligence space.
For any questions, feel free to schedule a meeting or drop me a line.
The macro and political backdrops are much different today than they were twelve months ago. I wrapped up the 2022 report when interest rates were near zero, and crypto markets and the S&P sat at all-time highs. We didn’t have a single proxy war with a nuclear-armed adversary! And we had Dem- ocratic leadership in both chambers of Congress.
Portfolios are down 80% since then. Crypto startups are (sometimes) required to have business models before VCs cut checks, and nine figure checks might (maybe) begin to include board oversight. The separation of money and state feels inevitable as countries are getting canceled. Real policy is taking shape in DC, and the outlook for regulatory progress is somewhat rosier.
Is this the dark before the dawn, or the beginning of a long Arctic winter? I believe in crypto.
Bitcoin and Ethereum seem to be on long-term stable ground. DeFi will take major strides forward next year. Privacy tech will be promoted as an integral part of the future of public blockchains (or get de facto banned on dystopian and vague “national security” grounds). Infrastructure investments around code security, decentralized hardware, virtual worlds, custody, protocol governance, and block- chain scalability are all in vogue. There will be less NFT speculation. Fewer moon fumes.
I will probably spend more time in this report deconstructing crypto policy than you would like, but I’ll make fun of important people along the way to keep it zippy.
Once again, this beast took me 200 hours to write. That’s a lot, but it’s also down about 20% from last year. I thank the Messari analyst team for those cost savings. They write good stuff daily for Messari Pro subscribers, and you should sign up. If you’re an institution or crypto startup, stop missing key insights: our Enterprise-level offering give your company the research and data tools you need to save more time, energy, and long-term compliance costs on day-to-day crypto work.
In 2022, Messari tripled our team size and revenue in a down market. We closed a Series B, launched several new products (Asset Intelligence, Protocol Metrics, Data Apps), and doubled the size of Main- net 2022 in NYC. We’re still hiring. Come with me if you want to live.
Every year, people ask me how I write all this stuff in such a short amount of time. Mostly, it’s a labor of love. I am grateful to have the opportunity to build in this industry, and we appreciate the builders who have supported us through thick and thin. This report is a token of appreciation.
But if I’m being honest, there’s also a certain amount of rage that fueled this report. The bad actors have gotten all of the oxygen this year, and set back the good actors and years of progress that they had made.
I hope The Theses shifts the focus away from the frauds and the tourists, and back to the pioneers. I wrote this in the pioneers’ defense.
Software companies have been moving into the payments space over the last few years in a major way. A number of vertical software companies have embedded payments functionality into their solutions – creating a better experience for end-users, businesses and their customers – and are capturing economics in the process. Other software companies have built payments solutions addressing vertical specific pain points. In doing so, they have been able to take market share from generic horizontal providers and open greenfield opportunities.
Catalyst has a wealth of experience backing businesses in this space (MindBody, ChowNow, Weave, and WeddingWire, among others). We believe we will see this trend continue to accelerate for years to come and are eager to partner with more of these businesses seeking growth equity capital.
At Catalyst, we employ a proactive, research-based approach to investing, targeting sectors experiencing outstanding growth. If you are an owner, operator or investor in a growth stage Vertical Payments Software company, we would like to hear from you. Please send inquiries and business plans to kirk@catalyst.com & grady@catalyst.com.
Patterns for Payment Systems IntegrationGary Farrow
This article describes enterprise patterns for payment systems integration. A comprehensive model of payments systems processing is presented based on suggested TOGAF Architectural Building Blocks (ABBs). Different configurations of the ABBs give rise to different patterns, each being useful in specific business or system scenarios.
AI邊緣運算實作: TensorFlow Lite for MCU
https://bit.ly/3j2fIIt
[1]python程式設計
https://bit.ly/359cz4m
[2]AI機器學習&深度學習
http://bit.ly/2KDZZz4
[3]TensorFlow Lite for MCU
https://bit.ly/3j2fIIt
Tiny ML for spark Fun Edge
https://www.ittraining.com.tw/ittraining/it-elearning/el-ai/ai-tensorflow-lite-for-mcu
TensorFlow Lite for MCU正是專為邊緣裝置設計的TensorFlow模型預測框架,是TensorFlow的精簡版本,讓開發者可以在物聯網與嵌入式裝置中部署微型機器學習模型。 本課程將教授AI模型如何佈署於微控制器,包含模型訓練、模型最佳化以及TensorFlow Lite框架的程式開發等。此外,在實作上以Sparkfun edge board (ARM cortex M4)為例,說明如何以TensorFlow Lite 進行微控制器上面的人工智慧開發專案,包含人臉偵測、關鍵字的字詞偵測、姿態識別、異常偵測等。
https://youtu.be/RHvROP94qZ0
AI邊緣運算實作: TensorFlow Lite for MCU
https://bit.ly/3j2fIIt
[1]python程式設計
https://bit.ly/359cz4m
[2]AI機器學習&深度學習
http://bit.ly/2KDZZz4
[3]TensorFlow Lite for MCU
https://bit.ly/3j2fIIt