Category: Worth Reading

Worth Reading: A Primer on Communication Fundamentals

Dip Singh published an excellent primer on communication fundamentals, including:

  • Waves: frequency, amplitude, wavelength, phase
  • Composite signals, frequency domain and Fourier transform
  • Bandwidth, fundamental and harmonic frequency
  • Decibels in a nutshell
  • Transmission impairments: attenuation, distortion, noise
  • Principles of modern communications: Nyquist theorem, Shannon’s law, bit and baud rate
  • Line encoding techniques, quadrature methods (including QPSK and QAM)

Even if you don’t care about layer-1 technologies, you MUST read it to get at least a basic appreciation of why stuff you’re using to read this blog post works.

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NTP in a Nutshell

Years ago I’ve been involved in an interesting discussion focusing on NTP authentication and whether you can actually implement it reliably on Cisco IOS. What I got out of it (apart from a working example) was the feeling that NTP and it’s implementation in Cisco IOS was under-understood and under-documented, so I wrote an article about it. Of course the web version got lost in the mists of time but I keep my archives handy.

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Goodbye Twitter. It Was Fun While It Lasted

I joined Twitter in October 2008 (after noticing everyone else was using it during a Networking Field Day event), and eventually figured out how to automate posting the links to my blog posts in case someone uses Twitter as their primary source of news – an IFTTT applet that read my RSS feed and posted links to new entries to Twitter.

This week, I got a nice email from IFTTT telling me they had to disable the post-to-Twitter applet. Twitter started charging for the API, and I was using their free service – obviously the math didn’t work out.

That left me with three options:

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Worth Reading: Cargo Cult AI

Before we managed to recover from the automation cargo cults, a tsunami wave of cargo cult AI washed over us as Edlyn V. Levine explained in an ACM Queue article. Enjoy ;)

Also, a bit of a historical perspective is never a bad thing:

Impressive progress in AI, including the recent sensation of ChatGPT, has been dominated by the success of a single, decades-old machine-learning approach called a multilayer (or deep) neural network. This approach was invented in the 1940s, and essentially all of the foundational concepts of neural networks and associated methods—including convolutional neural networks and backpropagation—were in place by the 1980s.

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Why Is Source Address Validation Still a Problem?

I mentioned IP source address validation (SAV) as one of the MANRS-recommended actions in the Internet Routing Security webinar but did not go into any details (as the webinar deals with routing security, not data-plane security)… but I stumbled upon a wonderful companion article published by RIPE Labs: Why Is Source Address Validation Still a Problem?.

The article goes through the basics of SAV, best practices, and (most interesting) using free testing tools to detect non-compliant networks. Definitely worth reading!

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