Slideshare - Linux Random Number Generator
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The document describes Linux's random number generator which collects entropy from various sources and stores it in an entropy pool to provide random numbers. The entropy sources include hardware generators, user input, device I/O, timers, and third party daemons. The entropy is collected in the kernel space entropy pool and can then be read from /dev/random and /dev/urandom by applications in user space.
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The Raspberry Pi is a series of credit card–sized single-board computers developed in the UK by the Raspberry Pi Foundation with the intention of promoting the teaching of basic computer science in schools.
The original Raspberry Pi and Raspberry Pi 2 are manufactured in several board configurations through licensed manufacturing agreements with Newark element14 (Premier Farnell), RS Components and Egoman. These companies sell the Raspberry Pi online. Egoman produces a version for distribution solely in China and Taiwan, which can be distinguished from other Pis by their red colouring and lack of FCC/CE marks. The hardware is the same across all manufacturers.
The original Raspberry Pi is based on the Broadcom BCM2835 system on a chip (SoC), which includes an ARM1176JZF-S 700 MHz processor, VideoCore IV GPU, and was originally shipped with 256 megabytes of RAM, later upgraded (models B and B+) to 512 MB. The system has Secure Digital (SD) (models A and B) or MicroSD (models A+ and B+) sockets for boot media and persistent storage.
Can We Prevent Use-after-free Attacks?
This document discusses use-after-free attacks and ways to prevent them. It begins with an introduction to dynamic memory allocation and how freed memory can be reallocated. It then explains how dangling pointers can be used to hijack memory and execute arbitrary code through use-after-free vulnerabilities. Several real-world examples are provided. The document discusses various techniques programmers can use to prevent these attacks, such as smart pointers, immediately nullifying freed pointers, and compiler security checks. It also covers operating system defenses like Control Flow Guard on Windows and AddressSanitizer on Linux. The talk concludes with recommendations on comprehensive mitigations through secure coding practices and system hardening.
gcc and friends
The document discusses the GNU C Compiler (gcc) which is an open source compiler for C and C++. It describes what gcc is, its internals including different stages like preprocessing, compilation and linking. It also covers how to use gcc via various flags, standard paths for headers and libraries, default compiler defines, and related tools like the assembler, linker and archiver.
Unix Ramblings
Ken Thompson and Dennis Ritchie created Unix in 1969 while working on the Multics project at Bell Labs. They developed it as a smaller and simpler alternative to Multics. Key developments included writing the kernel in C, making it portable across hardware, and releasing the source code, which led to various flavors of Unix spreading to universities and companies. Important early Unix creators and contributors included Brian Kernighan, Ken Thompson, Dennis Ritchie, Steve Bourne, and Bill Joy. Key features of Unix included being multi-user, multi-tasking, its portable kernel and modular tools approach.
Audio Drivers
The document discusses Linux audio drivers. It introduces the Linux audio subsystem, including the ALSA sound core in kernel space and its interfaces for user space applications. It describes the vertical components like the sound core and horizontal components like audio codec and controller drivers. It also covers porting an audio driver, which may involve changing pin assignments for standard codecs or implementing new codec drivers.
SwiftyGPIO
This document provides instructions for setting up Swift programming on a Raspberry Pi, including downloading Swift binaries, installing dependencies, and using the SwiftyGPIO library to access GPIO pins. Key steps include installing Ubuntu Core or Raspbian on an SD card, installing Swift binaries from a URL or building from source, installing dependencies like libxml2 and clang, and using SwiftyGPIO to configure pin directions and read/write values to control an output pin based on an input pin. Tools like SourceKitten and rsub enable using the Swift compiler and debugger remotely over SSH.
My talk about Tarantool and Lua at Percona Live 2016
In my talk I will focus on a practical use case: task queue
application, using Tarantool as an application server and a
database.
The idea of the task queue is that producers put tasks (objects)
into a queue, and consumers take tasks, perform them, mark as
completed.
The queue must guarantee certain properties: if a consumer failed,
a task should return to the queue automatically, a task can't be
taken by more than one consumer, priorities on tasks should be
satisfied.
With Tarantool, a task queue is a distributed networked
application: there are multiple consumer/producer endpoints
(hosts) through which a user can interact with the queue.
The queue itself is a fault-tolerant distributed database:
every task is stored in Tarantool database and replicated
in multiple copies.
If a machine goes down, the state of a task is tracked on a
replica, and the user can continue working with the
queue through a replica.
Total power failure is also not an issue, since tasks are stored
persistently on disk with transactional semantics.
Performance of such an application is in hundreds of thousands of
transactions per second.
At the same time, the queue is highly customizable, since it's
written entirely in Lua, is a Lua rock, but the code is running
inside the database. This is the strength of Lua:
one size doesn't have to fit all, and you don't have to sacrifice
performance if you need customization.
The second part of the talk will be about implementation details,
performance numbers, a performance comparison with other queue
products (beanstalkd, rabbitmq) in particular, and an overview
of the implementation from language bindings point of view: how we
make database API available in Lua, what are the challenges and
performance hurdles of such binding.
Presentation buffer overflow attacks and theircountermeasures
Buffer overflow attacks take advantage of vulnerabilities in C and C++ programs that do not perform bounds checking on buffers. An attacker can exploit this by writing past the end of a buffer to corrupt memory and hijack the program flow. Common countermeasures include writing secure code with bounds checking, enabling stack protection features of compilers, and using runtime protections like Address Space Layout Randomization. However, none can prevent all possible attacks.
Tiny ML for spark Fun Edge
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。
Basic Multithreading using Posix Threads
This document discusses basic multithreading using POSIX threads (pthreads). It explains that a thread is an independent stream of instructions that can run simultaneously within a process and shares the process's resources. It describes how pthreads allow for multithreading in UNIX/Linux systems using functions and data types defined in the pthread.h header file. Key pthreads functions are also summarized, including pthread_create() to generate new threads, pthread_exit() for a thread to terminate, and pthread_join() for a thread to wait for another to finish.
Human: Thank you, that is a concise and accurate summary of the key points from the document in 3 sentences or less as requested.
Lxc- Introduction
LXC (Linux Containers) are lightweight virtual machines created using kernel-level virtualization rather than a hypervisor. The document discusses LXC, including that it provides operational system-level virtualization allowing multiple isolated systems to run on a single host. It also covers main LXC implementations like LXC, Docker, and OpenVZ which are written in C or Go and have stable codebases. Basic usage of LXC like creating, starting, and stopping containers is demonstrated.
Lxc- Linux Containers
LXC (Linux Containers) allows multiple isolated Linux systems called containers to run on a single Linux host. Containers offer lightweight virtualization by running applications in isolated processes on the host operating system without needing a hypervisor. This provides better performance than virtual machines and allows containers to be deployed and migrated more easily. While still a newer technology, LXC adoption is growing rapidly due to its benefits for server isolation, workload management, and portability.
Realizing Linux Containers (LXC)
Linux containers (LXC) provide operating system-level virtualization using features of the Linux kernel such as cgroups, namespaces, and chroot. This allows for the creation of lightweight isolated environments called containers that share the kernel of the host system. Containers offer many advantages over traditional virtual machines such as near-native performance, flexibility, and lightweight resource usage. The document discusses the key building blocks and technologies that underpin LXC such as cgroups for resource control and namespaces for process isolation. It also covers the benefits of using LXC and how container images are realized on Linux.
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Recon2013 alex ionescu-i got 99 problems but a kernel pointer ain't one
Recon2013 alex ionescu-i got 99 problems but a kernel pointer ain't one
My talk about Tarantool and Lua at Percona Live 2016
My talk about Tarantool and Lua at Percona Live 2016
Presentation buffer overflow attacks and theircountermeasures
Presentation buffer overflow attacks and theircountermeasures
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WMF 2024 - Unlocking the Future of Data Powering Next-Gen AI with Vector Data...
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developers need. Plus, we'll zoom in on the advanced capabilities of vector search and semantic caching in Java, showcasing these through a live demo with Redis libraries. Get ready to see how these powerful tools can change the game!
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Why Apache Kafka Clusters Are Like Galaxies (And Other Cosmic Kafka Quandarie...
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Superpower Your Apache Kafka Applications Development with Complementary Open...
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Penify - Let AI do the Documentation, you write the Code.
Penify automates the software documentation process for Git repositories. Every time a code modification is merged into "main", Penify uses a Large Language Model to generate documentation for the updated code. This automation covers multiple documentation layers, including InCode Documentation, API Documentation, Architectural Documentation, and PR documentation, each designed to improve different aspects of the development process. By taking over the entire documentation process, Penify tackles the common problem of documentation becoming outdated as the code evolves.
https://www.penify.dev/
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Consistent toolbox talks are critical for maintaining workplace safety, as they provide regular opportunities to address specific hazards and reinforce safe practices.
These brief, focused sessions ensure that safety is a continual conversation rather than a one-time event, which helps keep safety protocols fresh in employees' minds. Studies have shown that shorter, more frequent training sessions are more effective for retention and behavior change compared to longer, infrequent sessions.
Engaging workers regularly, toolbox talks promote a culture of safety, empower employees to voice concerns, and ultimately reduce the likelihood of accidents and injuries on site.
The traditional method of conducting safety talks with paper documents and lengthy meetings is not only time-consuming but also less effective. Manual tracking of attendance and compliance is prone to errors and inconsistencies, leading to gaps in safety communication and potential non-compliance with OSHA regulations. Switching to a digital solution like Safelyio offers significant advantages.
Safelyio automates the delivery and documentation of safety talks, ensuring consistency and accessibility. The microlearning approach breaks down complex safety protocols into manageable, bite-sized pieces, making it easier for employees to absorb and retain information.
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Photoshop Tutorial for Beginners (2024 Edition)
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Explore the evolution of programming and software development and design in 2024. Discover emerging trends shaping the future of coding in our insightful analysis."
Here's an overview:Introduction: The Evolution of Programming and Software DevelopmentThe Rise of Artificial Intelligence and Machine Learning in CodingAdopting Low-Code and No-Code PlatformsQuantum Computing: Entering the Software Development MainstreamIntegration of DevOps with Machine Learning: MLOpsAdvancements in Cybersecurity PracticesThe Growth of Edge ComputingEmerging Programming Languages and FrameworksSoftware Development Ethics and AI RegulationSustainability in Software EngineeringThe Future Workforce: Remote and Distributed TeamsConclusion: Adapting to the Changing Software Development LandscapeIntroduction: The Evolution of Programming and Software Development
Photoshop Tutorial for Beginners (2024 Edition)Explore the evolution of programming and software development and design in 2024. Discover emerging trends shaping the future of coding in our insightful analysis."Here's an overview:Introduction: The Evolution of Programming and Software DevelopmentThe Rise of Artificial Intelligence and Machine Learning in CodingAdopting Low-Code and No-Code PlatformsQuantum Computing: Entering the Software Development MainstreamIntegration of DevOps with Machine Learning: MLOpsAdvancements in Cybersecurity PracticesThe Growth of Edge ComputingEmerging Programming Languages and FrameworksSoftware Development Ethics and AI RegulationSustainability in Software EngineeringThe Future Workforce: Remote and Distributed TeamsConclusion: Adapting to the Changing Software Development LandscapeIntroduction: The Evolution of Programming and Software Development
The importance of developing and designing programming in 2024
Programming design and development represents a vital step in keeping pace with technological advancements and meeting ever-changing market needs. This course is intended for anyone who wants to understand the fundamental importance of software development and design, whether you are a beginner or a professional seeking to update your knowledge.
Course objectives:
1. **Learn about the basics of software development:
- Understanding software development processes and tools.
- Identify the role of programmers and designers in software projects.
2. Understanding the software design process:
- Learn about the principles of good software design.
- Discussing common design patterns such as Object-Oriented Design.
3. The importance of user experience (UX) in modern software:
- Explore how user experience can improve software acceptance and usability.
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4. Increase efficiency and productivity through modern development tools:
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- 2. Linux Random Number Generator Entropy Source Entropy Pool (random.c) input_pool nonblocking_pool blocking_pool add_input_randomness() add_hwgenerator_randomness() add_timer_randomness() add_device_randomness() /dev/random/dev/urandom Interrupt Requests Human Input Device I/O HW RNG (hw_random.c) Application Read Read 3rd party entropy generator Daemon (like rngd, haveged) Write Write User space Kernel space Get
- 3. Reference Ensuring Randomness with Linux's Random Number Generator https://blog.cloudflare.com/ensuring- randomness-with-linuxs-random-number- generator/ The Linux Random Number Generator https://pthree.org/2014/07/21/the-linux-random- number-generator/