How Can Data Science Solve Cybersecurity Challenges? Software Engineering Institute (SEI) Webcast Series podcast

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Tech Cybersecurity Securecoding Softwarearchitecture Softwaredevelopment Softwareengineering Carnegie Mellon University Software Engineering Institute SEI Members of Technical Staff Video Podcasting Education

内容由Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff提供。所有播客内容（包括剧集、图形和播客描述）均由 Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品，您可以按照此处概述的流程进行操作https://zh.player.fm/legal。

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How Can Data Science Solve Cybersecurity Challenges?

2+ y ago 1:00:01

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内容由Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff提供。所有播客内容（包括剧集、图形和播客描述）均由 Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品，您可以按照此处概述的流程进行操作https://zh.player.fm/legal。

In this webcast, Tom Scanlon, Matthew Walsh and Jeffrey Mellon discuss approaches to using data science and machine learning to address cybersecurity challenges. They provide an overview of data science, including a discussion of what constitutes a good problem to solve with data science. They also discuss applying data science to cybersecurity challenges, highlighting specific challenges such as detecting advanced persistent threats (APTs), assessing risk and trust, determining the authenticity of digital content, and detecting deepfakes.

What attendees will learn:

Basics of data science and what makes for a good data science problem
How data science techniques can be applied to cybersecurity
Ways to get started using data science to address cybersecurity challenges

… continue reading

174集单集

#Tech #Cybersecurity #Securecoding #Softwarearchitecture #Softwaredevelopment #Softwareengineering #Carnegie Mellon University Software Engineering Institute #SEI Members of Technical Staff #Video #Podcasting Education

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How Can Data Science Solve Cybersecurity Challenges?

Software Engineering Institute (SEI) Webcast Series

57 subscribers

published 2+ y ago

分享

MP4•单集首页

内容由Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff提供。所有播客内容（包括剧集、图形和播客描述）均由 Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品，您可以按照此处概述的流程进行操作https://zh.player.fm/legal。

In this webcast, Tom Scanlon, Matthew Walsh and Jeffrey Mellon discuss approaches to using data science and machine learning to address cybersecurity challenges. They provide an overview of data science, including a discussion of what constitutes a good problem to solve with data science. They also discuss applying data science to cybersecurity challenges, highlighting specific challenges such as detecting advanced persistent threats (APTs), assessing risk and trust, determining the authenticity of digital content, and detecting deepfakes.

What attendees will learn:

Basics of data science and what makes for a good data science problem
How data science techniques can be applied to cybersecurity
Ways to get started using data science to address cybersecurity challenges

… continue reading

174集单集

#Tech #Cybersecurity #Securecoding #Softwarearchitecture #Softwaredevelopment #Softwareengineering #Carnegie Mellon University Software Engineering Institute #SEI Members of Technical Staff #Video #Podcasting Education

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