Python用于计算机网络和网络安全

计算机网络，网络安全，一个很好的起点是解决这样一个问题，“为什么要拥抱自动化？”如果你已经沉浸在网络安全领域，你可能会意识到自动化带来的巨大优势。然而，如果你是这个领域的新手，考虑保护你不太懂技术的亲戚或朋友免受恶意软件安装在他们的手机上或成为钓鱼邮件的受害者的挑战。现在，想象一下成百上千的人在进行这样的斗争。考虑到恶意行为者积极地将您的组织作为攻击目标，一次成功的攻击就可能给公司带来数百万美元的损失。管理网络风险需要防止恶意软件感染、检测和缓解持续攻击、确保遵守公司安全政策等。自动化通过帮助处理这些任务来充当盟友。Python拥有几个使其成为有利选择的特性，包括:流行度:您很可能已经在某种程度上熟悉了Python。学习使用一门你已经熟悉的语言的新方法要比从头开始学习一门新语言容易得多。简单性:Python相对来说很快也很容易掌握，即使对于那些不熟悉它的人来说也是如此。这种简单性被证明对于学习目的和快速制作程序都是有利的。强大:Python拥有大量健壮的库，可以毫不费力地导入到您的代码中。如果您需要处理网络流量，使用Scapy之类的库比试图从头构建功能要简单得多。Python for Computer Networks and cybersecurity

由Kamshat Asmaganbetova、Aigerim Kalikova创作
MP4 |视频:h264，1280×720 |音频:AAC，44.1 KHz，2声道
类型:电子学习|语言:英语|时长:6节课(57分钟 ) |大小:720 MB

你会学到什么
实现ATT会议和CK会议之前的目标
主动扫描，使用scapy扫描网络
在scapy中实现SYN扫描，在scapy中执行DNS扫描
为防御者进行网络扫描

要求
python编程基础和计算机网络基础

Computer networks , cybersecurity

What you’ll learn
Fulfilling Pre-ATT&CK Objectives
Active Scanning, Scanning Networks with scapy
Implementing a SYN Scan in scapy, Performing a DNS Scan in scapy
Network Scanning for Defenders

Requirements
basic of python programming and computer network foundamentals

Description
An excellent starting point involves addressing the question, “Why should one embrace automation?” If you’re already immersed in the cybersecurity realm, you’re likely aware of the significant advantages automation brings. However, if you’re new to the field, consider the challenge of safeguarding your less tech-savvy relatives or friends from malware installations on their phones or falling victim to phishing emails. Now, envision multiplying that struggle by hundreds or thousands of people. Factor in the reality that malicious actors are actively motivated to target your organization, and a single successful attack could result in millions of dollars in damages for the company. Managing cyber risk entails preventing malware infections, detecting and mitigating ongoing attacks, ensuring compliance with corporate security policies, and more. Automation serves as an ally by assisting in handling these tasks.Python boasts several features that make it a favorable choice, including the following:Popularity: There’s a high likelihood that you are already familiar with Python to some extent. It’s far easier to learn new ways to utilize a language you are already acquainted with than to start from scratch with a new language. Simplicity: Python is relatively quick and easy to grasp, even for those unfamiliar with it. This simplicity proves advantageous for both learning purposes and swiftly crafting programs.Power: Python boasts a plethora of robust libraries that can be effortlessly imported into your code. If you need to work with network traffic, utilizing libraries such as Scapy is much simpler than attempting to build the functionality from scratch.