After twenty-six years, Microsoft is finally upgrading the last remaining
instance of the encryption algorithm RC4 in Windows.
> of the most visible holdouts in supporting RC4 has been Microsoft. Eventually,
> Microsoft upgraded Active Directory to support the much more secure AES
> encryption standard. But by default, Windows servers have continued to respond
> to RC4-based authentication requests and return an RC4-based response. The RC4
> fallback has been a favorite weakness hackers have exploited to compromise
> enterprise networks. Use of RC4 played a ...
Tag - algorithms
Senator Ron Wyden has asked the Federal Trade Commission to investigate
Microsoft over its continued use of the RC4 encryption algorithm. The letter
talks about a hacker technique called Kerberoasting, that exploits the Kerberos
authentication system.
ALGORITHMS ARE SHAPING OUR THOUGHTS AND BEHAVIOURS IN DANGEROUS WAYS
~ Matthew Gaffen ~
“The Matrix” already exists—we’re not all asleep in vats being used as
batteries, but to a greater or lesser extent we have all been trapped in an
invisible prison, used to subjugate everyone under its influence. It’s
conceivably why we’re seeing such a rise in fascism globally.
There’s no conspiracy, no shady cabal, no one person behind this. It’s just a
natural outcome of chasing the profit motive. This also means no one is driving
the train.
There’s a reason that cookies and privacy policies (in the EU at least) have
become such an online nuisance. These assurances of your safety and privacy are
nothing more than a pretext to get consent. Your “anonymised” data is sold to an
infinite regress of third parties, analysed, correlated and de-anonymised again.
Any smart device you use, your browsing habits, banking transactions, your GPS
position are all used to deduce fine grain information about you. Then
weaponised against you for as much profit as possible.
If Facebook only needs 300 ‘likes’ from you to know you better than your spouse,
imagine what could be done with all your usage data combined.
The modern world is dominated by the platform economy – a structure that puts a
digital system between you and the services you use. This can be used to
influence you and your movements. It’s how Instagram is able to show you an ad
for a popup restaurant a convenient walk away with uncanny precision. Google
maps uses your camera feed to add to its 3D scans when you use live navigation.
Pokemon go and similar apps let businesses purchase the appearance of valuable
items to influence users movements. This is small scale influence, however.
Something much more dangerous and oppressive lurks beneath all that.
Algorithms play a fundamental part in what you see online, and what they’re good
at is categorisation. This can be helpful if you want to filter information –
but these algorithms also categorise users. All of us are sorted into boxes and
shown things specifically optimised to keep up hooked; many apps use mechanics
inspired from the gambling sector to keep users using. The Pavlovian feedback
loop it creates also applies to the other users you’re categorised with can
build a kind of group-think. Like a stone polisher, users are rubbed against
each other to create homogenised, predictable behaviour. Anger and argument are
also part of this.
It can be difficult to perceive what this looks like in action, but one of the
most easily analysed is the rise of the online (or ‘alt’) right. A bunch of
angry, disenfranchised people are pushed together and rile themselves up until
someone shoots up a mosque . Simply by the accelerated narrative by online
arguments that are boosted by algorithms people reach extreme conclusions. None
of these platforms intended to enable stochastic terrorism, but it made them
money.
Ian Danskin coined the phrase Stochastic Totalism to describe a phenomena that
is particularly visible in the ecosphere of the alt right. Figures like Jordan
Peterson, Andrew Tate and Donald Trump don’t have to intentionally side with
extremist groups, or even agree with their positions, but they are chosen as
figureheads. It builds a self-reinforcing authoritarianism that applies to a
much wider group than right-wing chuds. The insertion of algorithmic influence
at every possible vector that our lives intersect with the digital world is
designed to make our behaviour more predictable to enable an easier extraction
of profit.
It could also be seen as a form of brainwashing. But I think one thing is
clear—there’s a reason why big tech is siding with Trump.
Unfortunately, ‘unplugging’ from this giant panopticon is incredibly
difficult—the network effect (the influence of user buy in) makes it very
difficult to migrate to services that don’t monetise your data. Why use Signal
when everyone you know is on WhatsApp? All I can suggest is: where possible,
divest from big tech. Use Mastodon or Bluesky instead of Twitter. Use cash more
often. Stop using Google products. And learn about the technologies you use—a
little of anything is better than nothing.
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Image by Matthew Gaffen. A longer version of this essay appears at gaffen.co.uk
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