This document provides notes for a short course on UNIX systems programming. The course covers UNIX basics like system calls, file input/output, and making makefiles. Session 1 discusses the UNIX application programming interface and system calls. Session 2 focuses on file I/O, standard input/output, and filters. Session 3 covers using makefiles, command line arguments, and environment variables in C programs.
Introduction in Security given by Bart Van Bos at Nalys.
Topics:
- Buffer overflows in C
- Counter measures
- Life demo of 2 attacks
- Shellcode generation
Operating System ,UNIX & LINUX base System Calls
1) Process Creation
2) Executing a Command
3) Wait command
4) Sleep Command
5) Sleep Command using getpid
6) Signal Handling
With C-Programming & BASH Programming
Part 04 Creating a System Call in LinuxTushar B Kute
Presentation on "System Call creation in Linux".
Presented at Army Institute of Technology, Pune for FDP on "Basics of Linux Kernel Programming". by Tushar B Kute (http://tusharkute.com).
Introduction in Security given by Bart Van Bos at Nalys.
Topics:
- Buffer overflows in C
- Counter measures
- Life demo of 2 attacks
- Shellcode generation
Operating System ,UNIX & LINUX base System Calls
1) Process Creation
2) Executing a Command
3) Wait command
4) Sleep Command
5) Sleep Command using getpid
6) Signal Handling
With C-Programming & BASH Programming
Part 04 Creating a System Call in LinuxTushar B Kute
Presentation on "System Call creation in Linux".
Presented at Army Institute of Technology, Pune for FDP on "Basics of Linux Kernel Programming". by Tushar B Kute (http://tusharkute.com).
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下記論文を扱った研究室内輪読用の資料です
This is slides for group reading in Lab.
Ritchie, O. M., and Ken Thompson. "The UNIX time-sharing system." The Bell System Technical Journal 57.6 (1978): 1905-1929.
Write a C program called pross-c to implement the UNIX-Linux equivalen.docxSUKHI5
Write a C program called pross.c to implement the UNIX/Linux equivalent shell commands:
ls -al / | grep -i s | tr a-z A-Z
The symbol “|†is the Linux pipe command.
The signature of the main program:
int main (int argc, char *argv[]) {
}
Where:
•  argc is the number of arguments that are passed to the program plus 1
•  argv[0] is the name of the program
A template of the main program and its functions are provided to you along with this document on Blackboard. Use the following system calls to implement the shell commands:
o  dup2()
o  one of the exec()
o  fork()
o  pipe()
o  close()
pross.c
Solution
In the c programming the shell commands can\'t be executed directly, but there are several other options to get implemented.
1. Do not use the shell , but bypass the shell and run the commands driectly with specified program.Many of the basic utilities can be accessed easily enough and system calls are available for system programming tasks.You need to use pipe() ,fork () and exec().
2. Use system() to run the command if input and output are not important.
3.use poopen () if control on either input or output is needed.
4. run the shell as a coprocess.
If we select to bypass the shell, it can be bit easier to have buffered.
STDIO functions are available on a file decsriptor with
fdopen- associate a sream with a file descritor
FILE *fdopen(int fd , const char *mode);
after this call, STDIO buffered I/O and standard I/O function such as scanf() and print f() can be used on fd.
system- run shell command
int system(const char *command);
poopen- open to/from shell
FILE *POPEN(const char *command, const char * type);
int pclose (FILE *stream);
FILE *fp;
char *command;
fp=popen(command,\"r\");
fscanf(fp,....);
fclose(fp);
fp=open(command ,\"w\");
fprintf(fp,.....);
fclose(fp);
The shell can be forked off as a child of the program and then commands can be both sent to it and the results can be read. More generally any other program could be run this way. There are number of problems with this approach.
1. The practical problem of keeping the process in sync. For instance can you recognizing when the coprocess has finished responding to given request.
2. the shell is receiving its input through a pipe and not through a terminal , it uses file not line buffering, It will not receive input until the buffer is full. some solutions to this problems are
override the standard isatty by dynamically linking in a version that always returns true.this will require altering the environment before calling the child coprocess, so that the child process dynamic load library path includes the revised ispatty.
.
File is a container for storing information. It can be treated as a sequence of characters. Unlike the old DOS files, a UNIX file doesn‟t contain eof (end- of –file) mark. A file‟s size is not stored in the file, nor even its name. All files attributes are kept in separate area of hard disk, not accessible to humans, but only to the kernel.ThesisScientist.com
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.