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Python FTP Server and Client
Distributed Log File Automated Archive System This week, we will introduce the automated compute cluster nodes' log automated archive system project and FTP Communication utility library module. Program Design Purpose: This project aims to create an FTP server & client lib program for file transfer and a files management system for log data synchronization. We will develop an automated log file archive system that regularly collects newly generated log files from multiple nodes in a compute...
Do Not Be Misled by ‘Build an App in 5 Minutes’: In-Depth Practice with Cursor
In August this year, I tried out Cursor and was thoroughly impressed, prompting me to write an introductory article about it. Soon after, I transitioned my daily work environment entirely from GitHub Copilot + JetBrains to the paid version of Cursor. After several months of use, it has felt incredibly smooth. While using it myself, I’ve often recommended Cursor to colleagues and friends. However, many of them still have questions, such as: What advantages does it have over native ChatGPT ...
ARTIFICIAL INTELLIGENCE,GUIDE,CURSOR,CODE EDITING,WINDSURF,DISCUSSION 2024-12-17 21:30:22
SIEM Big Data Visualization [04] : Data Transmission Latency SIEM Log Analysis Dashboard
This article will introduce the Data Transmission Latency Log Analysis Dashboard developed for SIEM big data analytics. This is part of the SIEM big data visualization project, if you are interested about other dashboard plug in, you can check below links: SIEM Big Data Visualization [01] : Dashboard for Monitoring Scam Events in Critical Infrastructure SIEM Big Data Visualization [02] : Dashboard for Summarizing SG National Cyber Threats in Critical Infrastructure SIEM Big Data Visualization [...
SIEM Big Data Visualization [03]:Graph-Based SIEM Log Analysis Dashboard
Program Design Purpose: The purpose of this program is to develop a Graph-Based SIEM (System Information and Event Management) dashboard that visualizes network communication patterns by processing and analyzing logs from IDS, firewalls, host computers, and other security devices. This dashboard will help security analysts quickly identify and investigate potential threats by using a Cytoscape-style Node-Edge graph for intuitive data representation. The program is an angular plug in which can i...
Python PLC Honeypot Project
Program Design Propose : This project aims to develop a sophisticated honeypot system that emulates an OT (Operational Technology) SCADA network environment, bridging Level 1 OT field controller devices (PLCs) with Level 2 control programs, including Human-Machine Interfaces (HMIs). This honeypot will simulate various PLC models from major vendors, such as Schneider and Siemens, while supporting the primary communication protocols Modbus-TCP and Siemens-S7Comm. The system will integrate essenti...
IoT System Cyber Attack Case Study 02: Python Deserialization Attack and Library Hijacking Attack
Project Design Purpose: The objective of this cyber attack case study is to develop a workshop that demonstrates how a red team attacker can permanently compromise a people detection radar IoT device. The attack path is achieved through a series of attacks, including traffic eavesdropping, data deserialization attacks, web shell attacks, remote command/code execution, and Python library hijacking attacks. This case study is intended for IoT and data security professional training, aiming to ill...
The four key figures behind the success of JavaScript - Douglas Crockford
JavaScript's success can be attributed to at least four key figures: Brendan Eich, the creator of JavaScript Douglas Crockford, the creator of JSLint and JSON John Resig, the creator of jQuery Ryan Dahl, the creator of Node.js. We are already very familiar with Brendan Eich and the invention process of JavaScript, so let's start with Douglas Crockford, the second in command of JavaScript. Alliance In the 1990s, Microsoft's dominance overshadowed the whole world. At this time, two challengers e...
JAVASCRIPT,DOUGLAS CROCKFORD,HISTORY 2023-05-07 06:42:30
How to check when an API is introduced in GoLang
Normally people would not pay much attention to which GoLang version is being used as lots of functions are backward compatible. However there are cases where GoLang version does matter as some functions may not be supported by old version of GoLang. For example, strings.Builder is introduced in Go 1.10, but below code would fail to be compiled on Go 1.10. package main import ( "fmt" "strings" ) func main() { var b strings.Builder b.WriteString("polarisxu") fmt.Println(b.Cap()) } The ...
GOLANG,API VERSION,GO TOOL 2021-02-07 00:43:24
4 deployment modes of Redis
As a high-performance in-memory database, Redis is widely used in current mainstream distributed architecture systems. To improve system fault tolerance, using multiple instances of Redis is also inevitable, but the complexity is much higher than that of a single instance. This article mainly introduces the four deployment modes of Redis and their advantages and disadvantages. Standalone Standalone mode is to install a Redis, start it, and business connects to it and that's all. The specific ...
REDIS,STANDALONE,MASTER-SLAVE,SENTINEL,CLUSTER 2023-03-03 21:35:09
IBM acquires Ustream to propel its cloud business
On January 21, 2016, IBM acquired Ustream, a leading live and on-demand video solution company, to propel its cloud service business. This acquisition will make IBM capable of providing enterprise live video stream service to the world. With this, a new member joining the IBM cloud service family. Ustream provides cloud-based video streaming to enterprises and broadcasters for everything from corporate keynotes to live music concerts. The company streams live and on-demand video to about 80 mil...
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