Transcript Where does your child wants to go today?

Where does your child
want to go today?
Evgeny Kolotinsky / Content Filtering Technologies Development Group
Konstantin Ignatev / Web Content Analysts Group
June, 2010
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Points of interest
• Nature of Internet dangers
• New generation on the Internet
• Techniques and examples
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The everyday evils of the Internet
•
•
•
•
Malware
Fraud
Phishing
Criminal activity
are traditional research topics
for information security companies.
BUT:
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Internet content itself can be dangerous
Especially for those
who are too young or too inexperienced to
distinguish between good and bad.
Or for people who just want
to spend a few hours at work doing
more interesting than just working.
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The Nature of Internet Dangers
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What content is dangerous?
When we say
“content is dangerous for kids” –
in most cases by “content”
we mean “pornography”…
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What is it?
“Pornography or porn is the portrayal of explicit sexual subject
matter for the purposes of sexual excitement and erotic
satisfaction.”
- Wikipedia
“I can't define pornography, but I know it when I see it.”
- Justice Stewart in
Jacobellis v.Ohio 378 US 184 (1964)
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Where it comes from
nowadays
2 500 years ago
500 years ago
1 500 years7ago
000 years ago
25 000 years ago
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100 years ago
2 000 years ago
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Pornography across the world
www.wikipedia.org
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Pornography drives technology
Online payment systems
Spam
Streaming content
Malware
Live chats
Pop-ups
Broadband
Browser hijacking
Traffic optimization
Domain-name hijacking
3G mobile services
Paris Hilton 
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Pornography drives technology
Lena Soderberg (Sjooblom)
from Playboy, November 1972
– industry standard for digital
image processing
"Culture, Communication, and an Information Age Madonna,"
"IEEE Personal Communication Society Newsletter" Vol. 45, No. 3, May/June 2001
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It’s not just pornography
Drugs & alcohol
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It’s not just pornography
Violence & Extremism
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It’s not just pornography
Gambling
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It’s not just pornography
Wasting time
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Internet distribution, Top5000
Porn
11.0%
Uncategorized
69.9%
Shops
6.5%
Wasting time
14.6%
Chats
2.1%
Other
4.4%
Gambling
1.0%
Games
0.8%
Social networks
3.9%
Mail
0.4%
Hate speech
0.9%
Illegal soft
2.2%
www.alexa.com
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Drugs
0.1%
Violence
0.5%
Payment
systems
0.3%
Job search
Weapons
0.3%
0.1%
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The Internet Generation Gap
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The Internet generation gap
The Internet is the greatest generation gap
since rock and roll.
— Bruce Schneier
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The Internet generation gap
Teens online
2010 – 84.8%
2007 – 76%
82% of teens help parents
52% of parents help teens
www.emarketer.com
www.pewinternet.com
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Parent’s Internet assumptions
We know something about
where our children go and
what they do in the
Internet
We have established rules
for our child’s Internet
activity
88%
92%
www.isafe.org
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Young peoples’ attitudes to the Internet
I do not share what I do
or where I go on the
Internet with my parents
My parents have not
established any rules for
my Internet activity
33%
34%
I do not discuss
Internet safety with my
parents
My parents have no
idea how much time I
spend on the Internet
40%
My parents complain
about the amount of
time I spend on the
Internet
14%
23%
www.isafe.org
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The Internet generation gap
Unwanted and wanted exposure to online
pornography among girls
40
40
35
35
30
25
20
Wanted
15
Unwanted
10
5
% of youth internet users
% of youth internet users
Unwanted and wanted exposure to online
pornography among boys
25
20
Wanted
15
Unwanted
10
5
0
0
age
30
10-11
12-13
14-15
16-17
age
10-11
12-13
14-15
16-17
* Wolak et al, 2007
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Our goal – protect against unwanted content
If someone wants to see adult content – nothing will stop him
• But we can make it more difficult
• We should prevent adult content from being exposed in
other cases
• Parents should have the ability to protect their children
from unwanted content
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Content Filtering Techniques
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Fundamental techniques
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Categorization
Listing
Access and
distribution
control
Data filtering
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Content filtering solutions
Local
• Listings
• Deep real-time analysis
Gateway
• Listings
• Real-time analysis
In The Cloud
• Listings
• Crawling
• Expertise
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Pre-requisitions for content-filtering solution
• Listing means categorization
• White list does not mean good, it just means not black
• All categorization criteria should be available
• Categorization can be over-inclusive or under-inclusive
• Categorization does not mean blocking
• Only the user can decide which categories should be
blocked
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Kaspersky Parental Control
• Local solution (available in KIS 2009, 2010, 2011 etc)
• Based on
• Listings
• Heuristic analysis and categorization
• All categorization criteria available
• Categorization is over-inclusive
• The user decides which categories should be blocked
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Kaspersky Parental Control
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Where does your child want to go?
Payment systems
Web mail 0.2%
Chats 0.4%
0.2%
Gambling
7.0%
• We can have false
positives, and users
can report them
• What are they
ACTUALLY
reporting as false
positives?
Real FPs
3.3%
Weapons
3.7%
Hate speech
6.6%
Violence
3.8%
Drugs
1.8%
Porn
72,2%
Illegal software
1.2%
* Kaspersky Lab, 2010
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Controversial categorization issues
“I can't define pornography, but I know it when I see it.”
- Justice Stewart in
Jacobellis v.Ohio 378 US 184 (1964)
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Controversial categorization issues: example
Ooops…
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Controversial categorization issues: example
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Controversial categorization issues: example
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Binary content analysis
Possible image analysis techniques
(Color, Shape, Similarity, OCR, etc)
At the moment, the current state of technology makes it
almost impossible to categorize images
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Binary content analysis
•
Video analysis – frame by frame.
•
Requires a huge amount of resources
At the moment, the current state of technology makes it almost impossible to
categorize videos
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Binaries
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The Final Chapter
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It’s up to you!
The Internet is dangerous, but it’s also an endless source of
information
Any security content filtering solution is just a tool
to help parents; it can’t replace parents
Children can try to find answers to their questions
on the Internet
or they can ask parents
Who will give the best answer?
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Thank you! Questions?
Evgeny Kolotinsky, Konstantin Ignatev
[email protected]
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