Reconceptualizing Security | Bruce Schneier | TEDxPSU

Bruce Schneier is an internationally-renowned security technologist and author. Described by The Economist as a "security guru," he is best known as a refreshingly candid and lucid security critic and commentator. When people want to know how security really works, they turn to Schneier.

So security is two different things:

it's a feeling, and it's a reality.

And they're different.

You could feel secure

even if you're not.

And you can be secure

even if you don't feel it.

Really, we have two separate concepts

mapped onto the same word.

And what I want to do in this talk

is to split them apart --

figuring out when they diverge

and how they converge.

And language is actually a problem here.

There aren't a lot of good words

for the concepts
we're going to talk about.

So if you look at security

from economic terms,

it's a trade-off.

Every time you get some security,

you're always trading off something.

Whether this is a personal decision --

whether you're going to install
a burglar alarm in your home --

or a national decision -- where you're
going to invade some foreign country --

you're going to trade off something,

either money or time,
convenience, capabilities,

maybe fundamental liberties.

And the question to ask
when you look at a security anything

is not whether this makes us safer,

but whether it's worth the trade-off.

You've heard in the past several years,

the world is safer because
Saddam Hussein is not in power.

That might be true,
but it's not terribly relevant.

The question is, was it worth it?

And you can make your own decision,

and then you'll decide
whether the invasion was worth it.

That's how you think about security --

in terms of the trade-off.

Now there's often no right or wrong here.

Some of us have
a burglar alarm system at home,

and some of us don't.

And it'll depend on where we live,

whether we live alone or have a family,

how much cool stuff we have,

how much we're willing to accept

the risk of theft.

In politics also,

there are different opinions.

A lot of times, these trade-offs

are about more than just security,

and I think that's really important.

Now people have a natural intuition

about these trade-offs.

We make them every day --

last night in my hotel room,

when I decided to double-lock the door,

or you in your car when you drove here,

when we go eat lunch

and decide the food's not poison
and we'll eat it.

We make these trade-offs
again and again,

multiple times a day.

We often don't even notice them.

They're just part of being alive;
we all do it.

Every species does it.

Imagine a rabbit in a field, eating grass,

and the rabbit's going to see a fox.

That rabbit will make
a security trade-off:

"Should I stay, or should I flee?"

And if you think about it,

the rabbits that are good
at making that trade-off

will tend to live and reproduce,

and the rabbits that are bad at it

will get eaten or starve.

So you'd think

that us, as a successful species
on the planet --

you, me, everybody --

would be really good
at making these trade-offs.

Yet it seems, again and again,

that we're hopelessly bad at it.

And I think that's a fundamentally
interesting question.

I'll give you the short answer.

The answer is, we respond
to the feeling of security

and not the reality.

Now most of the time, that works.

Most of the time,

feeling and reality are the same.

Certainly that's true

for most of human prehistory.

We've developed this ability

because it makes evolutionary sense.

One way to think of it

is that we're highly optimized

for risk decisions

that are endemic to living
in small family groups

in the East African highlands
in 100,000 B.C.

2010 New York, not so much.

Now there are several biases
in risk perception.

A lot of good experiments in this.

And you can see certain biases
that come up again and again.

So I'll give you four.

We tend to exaggerate
spectacular and rare risks

and downplay common risks --

so flying versus driving.

The unknown is perceived

to be riskier than the familiar.

One example would be,

people fear kidnapping by strangers

when the data supports kidnapping
by relatives is much more common.

This is for children.

Third, personified risks

are perceived to be greater
than anonymous risks --

so Bin Laden is scarier
because he has a name.

And the fourth

is people underestimate risks

in situations they do control

and overestimate them
in situations they don't control.

So once you take up skydiving or smoking,

you downplay the risks.

If a risk is thrust upon you
-- terrorism was a good example --

you'll overplay it because you don't feel
like it's in your control.

There are a bunch of other
of these cognitive biases,

that affect our risk decisions.

There's the availability heuristic,

which basically means

we estimate the probability of something

by how easy it is
to bring instances of it to mind.

So you can imagine how that works.

If you hear a lot about tiger attacks,
there must be a lot of tigers around.

You don't hear about lion attacks,
there aren't a lot of lions around.

This works until you invent newspapers.

Because what newspapers do

is they repeat again and again

rare risks.

I tell people, if it's in the news,
don't worry about it.

Because by definition,

news is something
that almost never happens.

(Laughter)

When something is so common,
it's no longer news --

car crashes, domestic violence --

those are the risks you worry about.

We're also a species of storytellers.

We respond to stories more than data.

And there's some basic
innumeracy going on.

I mean, the joke
"One, Two, Three, Many" is kind of right.

We're really good at small numbers.

One mango, two mangoes, three mangoes,

10,000 mangoes, 100,000 mangoes --

it's still more mangoes
you can eat before they rot.

So one half, one quarter, one fifth
-- we're good at that.

One in a million, one in a billion --

they're both almost never.

So we have trouble with the risks

that aren't very common.

And what these cognitive biases do

is they act as filters
between us and reality.

And the result

is that feeling and reality
get out of whack,

they get different.

Now you either have a feeling
-- you feel more secure than you are.

There's a false sense of security.

Or the other way,

and that's a false sense of insecurity.

I write a lot about "security theater,"

which are products
that make people feel secure,

but don't actually do anything.

There's no real word
for stuff that makes us secure,

but doesn't make us feel secure.

Maybe it's what the CIA's supposed to do
for us.

So back to economics.

If economics, if the market,
drives security,

and if people make trade-offs

based on the feeling of security,

then the smart thing for companies to do

for the economic incentives

are to make people feel secure.

And there are two ways to do this.

One, you can make people actually secure

and hope they notice.

Or two, you can make people
just feel secure

and hope they don't notice.

So what makes people notice?

Well a couple of things:

understanding of the security,

of the risks, the threats,

the countermeasures, how they work.

But if you know stuff,

you're more likely to have
your feelings match reality.

Enough real world examples helps.

Now we all know the crime rate
in our neighborhood,

because we live there,
and we get a feeling about it

that basically matches reality.

Security theater's exposed

when it's obvious
that it's not working properly.

Okay, so what makes people not notice?

Well, a poor understanding.

If you don't understand the risks,
you don't understand the costs,

you're likely to get the trade-off wrong,

and your feeling doesn't match reality.

Not enough examples.

There's an inherent problem

with low probability events.

If, for example,

terrorism almost never happens,

it's really hard to judge

the efficacy of counter-terrorist
measures.

This is why you keep sacrificing virgins,

and why your unicorn defenses
are working just great.

There aren't enough examples of failures.

Also, feelings that are clouding
the issues --

the cognitive biases
I talked about earlier,

fears, folk beliefs,

basically an inadequate model of reality.

So let me complicate things.

I have feeling and reality.

I want to add a third element.
I want to add model.

Feeling and model in our head,

reality is the outside world.

It doesn't change; it's real.

So feeling is based on our intuition.

Model is based on reason.

That's basically the difference.

In a primitive and simple world,

there's really no reason for a model

because feeling is close to reality.

You don't need a model.

But in a modern and complex world,

you need models

to understand a lot of the risks we face.

There's no feeling about germs.

You need a model to understand them.

So this model

is an intelligent representation
of reality.

It's, of course, limited by science,

by technology.

We couldn't have a germ theory of disease

before we invented
the microscope to see them.

It's limited by our cognitive biases.

But it has the ability

to override our feelings.

Where do we get these models?
We get them from others.

We get them from religion, from culture,

teachers, elders.

A couple years ago,

I was in South Africa on safari.

The tracker I was with
grew up in Kruger National Park.

He had some very complex models
of how to survive.

And it depended on if you were attacked

by a lion or a leopard
or a rhino or an elephant --

and when you had to run away,
and when you couldn't run away,

and when you had to climb a tree --
when you could never climb a tree.

I would have died in a day,

but he was born there,

and he understood how to survive.

I was born in New York City.

I could have taken him to New York,
and he would have died in a day.

(Laughter)

Because we had different models

based on our different experiences.

Models can come from the media,

from our elected officials.

Think of models of terrorism,

child kidnapping,

airline safety, car safety.

Models can come from industry.

The two I'm following
are surveillance cameras,

ID cards,

quite a lot of our computer security
models come from there.

A lot of models come from science.

Health models are a great example.

Think of cancer, of bird flu,
swine flu, SARS.

All of our feelings of security

about those diseases

come from models

given to us, really, by science filtered
through the media.

So models can change.

Models are not static.

As we become more comfortable
in our environments,

our model can move closer to our feelings.

So an example might be,

if you go back 100 years ago

when electricity was first
becoming common,

there were a lot of fears about it.

I mean, there were people
who were afraid to push doorbells,

because there was electricity in there,
and that was dangerous.

For us, we're very facile
around electricity.

We change light bulbs

without even thinking about it.

Our model of security around electricity

is something we were born into.

It hasn't changed as we were growing up.

And we're good at it.

Or think of the risks

on the Internet across generations --

how your parents approach
Internet security,

versus how you do,

versus how our kids will.

Models eventually fade
into the background.

Intuitive is just another word
for familiar.

So as your model is close to reality,

and it converges with feelings,

you often don't know it's there.

So a nice example of this

came from last year and swine flu.

When swine flu first appeared,

the initial news caused
a lot of overreaction.

Now it had a name,

which made it scarier
than the regular flu,

even though it was more deadly.

And people thought doctors
should be able to deal with it.

So there was that feeling
of lack of control.

And those two things

made the risk more than it was.

As the novelty wore off,
the months went by,

there was some amount of tolerance,

people got used to it.

There was no new data,
but there was less fear.

By autumn,

people thought

the doctors should have solved this
already.

And there's kind of a bifurcation --

people had to choose

between fear and acceptance --

actually fear and indifference --

they kind of chose suspicion.

And when the vaccine appeared last winter,

there were a lot of people
-- a surprising number --

who refused to get it --

as a nice example

of how people's feelings of security
change, how their model changes,

sort of wildly

with no new information,

with no new input.

This kind of thing happens a lot.

I'm going to give one more complication.

We have feeling, model, reality.

I have a very relativistic view
of security.

I think it depends on the observer.

And most security decisions

have a variety of people involved.

And stakeholders

with specific trade-offs

will try to influence the decision.

And I call that their agenda.

And you see agenda --

this is marketing, this is politics --

trying to convince you to have
one model versus another,

trying to convince you to ignore a model

and trust your feelings,

marginalizing people
with models you don't like.

This is not uncommon.

An example, a great example,
is the risk of smoking.

In the history of the past 50 years,
the smoking risk

shows how a model changes,

and it also shows
how an industry fights against

a model it doesn't like.

Compare that
to the secondhand smoke debate --

probably about 20 years behind.

Think about seat belts.

When I was a kid, no one wore a seat belt.

Nowadays, no kid will let you drive

if you're not wearing a seat belt.

Compare that to the airbag debate --

probably about 30 years behind.

All examples of models changing.

What we learn is that
changing models is hard.

Models are hard to dislodge.

If they equal your feelings,

you don't even know you have a model.

And there's another cognitive bias

I'll call confirmation bias,

where we tend to accept data

that confirms our beliefs

and reject data
that contradicts our beliefs.

So evidence against our model,

we're likely to ignore,
even if it's compelling.

It has to get very compelling
before we'll pay attention.

New models that extend
long periods of time are hard.

Global warming is a great example.

We're terrible

at models that span 80 years.

We can do to the next harvest.

We can often do until our kids grow up.

But 80 years, we're just not good at.

So it's a very hard model to accept.

We can have both models
in our head simultaneously,

right, that kind of problem

where we're holding both beliefs together,

right, the cognitive dissonance.

Eventually,

the new model will replace the old model.

Strong feelings can create a model.

September 11th created a security model

in a lot of people's heads.

Also, personal experiences
with crime can do it,

personal health scare,

a health scare in the news.

You'll see these called flashbulb events

by psychiatrists.

They can create a model instantaneously,

because they're very emotive.

So in the technological world,

we don't have experience

to judge models.

And we rely on others. We rely on proxies.

I mean, this works
as long as it's to correct others.

We rely on government agencies

to tell us what pharmaceuticals are safe.

I flew here yesterday.

I didn't check the airplane.

I relied on some other group

to determine whether
my plane was safe to fly.

We're here, none of us fear
the roof is going to collapse on us,

not because we checked,

but because we're pretty sure

the building codes here are good.

It's a model we just accept

pretty much by faith.

And that's okay.

Now, what we want

is people to get familiar enough

with better models --

have it reflected in their feelings --

to allow them to make security trade-offs.

Now when these go out of whack,

you have two options.

One, you can fix people's feelings,

directly appeal to feelings.

It's manipulation, but it can work.

The second, more honest way

is to actually fix the model.

Change happens slowly.

The smoking debate took 40 years,

and that was an easy one.

Some of this stuff is hard.

I mean really though,

information seems like our best hope.

And I lied.

Remember I said feeling, model, reality;

I said reality doesn't change.
It actually does.

We live in a technological world;

reality changes all the time.

So we might have
-- for the first time in our species --

feeling chases model,
model chases reality, reality's moving --

they might never catch up.

We don't know.

But in the long-term,

both feeling and reality are important.

And I want to close with two quick stories
to illustrate this.

1982 -- I don't know if people
will remember this --

there was a short epidemic

of Tylenol poisonings
in the United States.

It's a horrific story.
Someone took a bottle of Tylenol,

put poison in it, closed it up,
put it back on the shelf.

Someone else bought it and died.

This terrified people.

There were a couple of copycat attacks.

There wasn't any real risk,
but people were scared.

And this is how

the tamper-proof drug industry
was invented.

Those tamper-proof caps,
that came from this.

It's complete security theater.

As a homework assignment,
think of 10 ways to get around it.

I'll give you one, a syringe.

But it made people feel better.

It made their feeling of security

more match the reality.

Last story, a few years ago,
a friend of mine gave birth.

I visit her in the hospital.

It turns out when a baby's born now,

they put an RFID bracelet on the baby,

put a corresponding one on the mother,

so if anyone other than the mother
takes the baby out of the maternity ward,

an alarm goes off.

I said, "Well, that's kind of neat.

I wonder how rampant baby snatching is

out of hospitals."

I go home, I look it up.

It basically never happens.

But if you think about it,

if you are a hospital,

and you need to take a baby
away from its mother,

out of the room to run some tests,

you better have some
good security theater,

or she's going to rip your arm off.

(Laughter)

So it's important for us,

those of us who design security,

who look at security policy,

or even look at public policy

in ways that affect security.

It's not just reality;
it's feeling and reality.

What's important

is that they be about the same.

It's important that,
if our feelings match reality,

we make better security trade-offs.

Thank you.

(Applause)