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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-for-computer-networks-and-cybersecurity/
课程评论：没有评论
课程名称：计算机网络的Python编程 课程概述：本课程是学习自动化的重要起点，首先提出了一个问题：“为什么要接受自动化？”如果您已经参与网络安全领域，您可能意识到自动化带来的显著优势。然而，如果您是该领域的新手，可以考虑如何保护那些技术不太熟练的亲友，避免他们的手机感染恶意软件或受诈骗邮件影响。想象一下，如果这种情况成千上万倍地放大，您会面临多大的挑战。此外，考虑到恶意攻击者积极针对您的组织，一次成功的攻击可能导致公司损失数百万美元。管理网络风险不仅包括防止恶意软件感染、检测和减轻正在进行的攻击，还包括确保遵守公司安全政策等多方面内容。在这些工作中，自动化成为强有力的助手。 Python之所以被推荐作为学习的语言，有以下几个优点：首先，Python的流行度非常高，您很可能已经对其有所了解，学习新用法比从零开始学习新语言要容易得多；其次，Python相对简单，容易掌握，即使对编程不熟悉的人也能快速上手，这种简洁性为学习和迅速编写程序提供了便利；最后，Python拥有众多强大的库，可以轻松导入到代码中，例如在处理网络流量时，使用Scapy库比从头构建功能要简单得多。 在本课程中，您将深入了解如何利用Python来提高网络安全的自动化水平，充分发挥其强大功能，优化您的工作流程。
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.
