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Cryptostego

Just as last week I’ve been discussing stego with colleagues, I missed this Bruce’s post…
Be sure to read the comments, though. A couple on stacking steganography over cryptography, which is what I would presume would work.

And, again the question: what would you know of actual use ‘out there’; is it common, rare, what are the characteristics of its users ..? Is it the next big thing after (?) APTs …?

Oh, here it is; the pic you expected:
DSCN2526
[Would ‘Riga’ be a hint that there’s more to the picture …!?]

Column on Open Source code Bystanders

Well, the column is out there now… Will be published in the July 2014 ISSA Journal but here’s a preview, in Dutch

And, of course:
DSCN6225
[S’bourg, or Brussels – always mix them up and end up in the wrong place for a meeting]

New ton’s theories

OK. Now which parts of his work would you consider unscientific; both by the standards of his time and by your today’s standards…
Because maybe he studied all terrains with comparable rigour, and maybe he found stuff of comparable importance. Who knows…

And, as expected:
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[Viewed this way, less often. Cala at Vale, indeed]

Boring bingo

a.k.a. the accountants’ version, Dutch style:
Accbingo1
Yup, if you understand what it says here, it would be something like:
“If you recognize the modernity and innovation and state-of-the-artness of all this, you understand how terribly boring all the news surrounding accountancy in NL is; if you can’t even fill out this card on a single day of news you take in, you’re lagging even these developments, you ultra-laggerd!”

Any words you miss ..?

Neural data analysis; where is it?

DSCN9545nw
[Koolhaas locator question]

As [Big | Smart | Process | Socmed] Data Analysis spreads, like this:
age-of-miss-america_murders-using-a-handgun I wondered where the neural network angle was, or is.

Remember, two decades back, at universities there was so much clamour about Neural Networks and their potential, and how credit card companies were the flagship applications with their pattern recognition work ..?
All that had never grown to full fruition, to full potential – as proven by the lack of ubiquitous visibility in our daily lives; if neural networks had been so successful, we’d had seen it on and in just about any IoT device already today.

But we don’t.
Hence, neural networks as a community has missed the boat, somewhere. Would anyone have a good pointer to the algorithms behind the said [Big | Smart | Process | Socmed] Data Analysis, and/or which actual algorithms are behind it ..? Either statistical non-linear regressions of sorts (including outlier detection and semi-smart pattern recognition), or neural networks, or …? Still some non- or true visual Kohonen networks out there ..?
I really would want to hear from you.

Oh and while you’re at it, would you also have good pointers to freeware tools to tinker with the algorithms ..?

Maverisk / Étoiles du Nord