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  How do Silicon Valley companies recruit

There are a lot of friends asking me about the basic flow of how Silicon Valley companies recruit engineers. As a candidate, I tried Facebook, Google, Yahoo, Oracle, and I received offer from all these companies. As an interviewer, I have interviewed no less than 300 people and I know about the process of recruitment. I write this article with the hope of inspiring people who want to go to Silicon Valley or who are preparing for interviews or who are in the design of the recruiting process...

   Facebook,Interview,Experience,Silicon Valley     2012-05-15 06:36:52

  Let's talk about JavaScript deep clone

In JavaScript, deep clone means creating a brand new object that includes all nested objects, with all properties being completely independent copies. This is different from shallow copying, which only copies the first-level properties, with nested objects being referenced rather than copied. There are multiple ways to perform deep copying in JavaScript, but the best one to use depends on the specific use case. Can use JSON.parse & JSON.stringify? ❌ JSON.parse(JSON.stringify(obj)) is a dep...

   JAVASCRIPT,DEEP CLONE     2023-02-25 08:57:11

  Introduction to the Application of eBPF in Golang

Most of the time, when we develop software or even use software, we play within the safe boundaries of the operating system. We might not know how the network interface welcomes that IP packet, nor how the filesystem handles the inodes when we save a file. This boundary is called user space, which is where we write applications, libraries, and tools. But there's another world, kernel space, where the operating system's kernel resides and is responsible for managing system resources such as memor...

   EBPF,GOLANG,GUIDE,APPLICATION     2024-10-02 08:46:37

  Python Process Protection Watchdog

Project Design Purpose: During participating the cyber exercise as red team member, we found that the injected malware or attack launching program can easy be stopped by the blue team or defense program / mechanisms via killing the process / deleting the file. To address this, our project aims to develop a robust watchdog program designed to bind to target programs, diligently monitor their execution states, and ensure uninterrupted functionality. Continuous Monitoring: Establish a vigilant wa...

       2024-09-14 11:09:14

  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 [...

       2024-11-03 20:49:18

  One thought about JavaScript exception handle

Due to network, browser and cache issues, the JS executed in production may produce different results from the testing environments. Sometimes they may produce exceptions. Front-end developers may encounter this kind of exceptions frequently. But how to log and use them is seldomly considered by them. Actually, exception handling includes two steps : log and use. 1. Log Regarding to log error, this is relatively convenient, since in each browser, there is one interface called window.onerror. win...

   JaavScript,Log,Exception,Email     2013-03-18 12:50:21

  The Future of AI Chips Might Not Be GPU

In the layout of AI computing architectures, the model of CPUs working in collaboration with accelerator chips has become a typical AI deployment solution. CPUs act as providers of basic computing power, while accelerator chips are responsible for enhancing computational performance, aiding in the efficient execution of algorithms. Common AI accelerator chips can be categorized into three main types based on their technological paths: GPU, FPGA, and ASIC. In this competition, GPUs have emerged a...

   MICROSOFT,ARM,INTEL,NVIDIA,GPU,OPENAI,CUDA     2024-06-21 22:43:00

  Power Grid Simulation System 02 : FDI Power Outage Attack Case Study

We are excited to share that the Power Grid Simulation System we developed was used as part of one red team's targeted critical infrastructure system the international cyber exercise Crossed Swords 2024 which conducted in December 2024. In this article, we will introduce one power outage attack case study which use the Power Grid Simulation System as the demo platform for OT cyber security workshop. Project Design Purpose: This case study demonstrates using the Power Grid Simulation System as a...

       2025-01-11 07:35:45

  Cleansing data with Pig and storing JSON format to HBase with Pig UDF

Introduction This post will explain you the way to clean data and store JSON format to HBase. Hadoop architect experts also explain Apache Pig and its advantages in Hadoop in this post. Read more and find out how they do it. This post contains steps to do some basic clean the duplication data and convert the data to JSON format to store to HBase. Actually, we have some built-in lib to parse JSON in Pig but it is important to manipulate the JSON data in Java code before store to HBase. Apache Pig...

   JSON,HADOOP ARCHITECT,APACHE HBASE,PIG UDF     2016-06-10 01:13:41

  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...

       2024-07-14 01:40:09

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