Where does your child want to go today?

1. Where does your child want to go today? Evgeny Kolotinsky / Content Filtering Technologies Development Group Konstantin Ignatev / Web Content Analysts Group

2. Points of interest • Nature of Internet dangers • New generation on the Internet • Techniques and examples

3. The everyday evils of the Internet are traditional research topics for information security companies. • Malware • Fraud • Phishing • Criminal activity BUT:

4. 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. Internet content itself can be dangerous

5. The Nature of Internet Dangers

6. What content is dangerous? When we say “content is dangerous for kids” – in most cases by “content” we mean “pornography”…

7. 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 Jacobellisv.Ohio 378 US 184 (1964)

8. Where it comes from nowadays 500 years ago 2 500 years ago 7 000 years ago 1 500 years ago 2 000 years ago 100 years ago 25 000 years ago

9. Pornography across the world www.wikipedia.org

10. 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 

11. 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

12. It’s not just pornography Drugs & alcohol

13. It’s not just pornography Violence & Extremism

14. It’s not just pornography Gambling

15. It’s not just pornography Wasting time

16. Internet distribution, Top5000 www.alexa.com

17. The Internet Generation Gap

18. The Internet generation gap The Internet is the greatest generation gap since rock and roll. — Bruce Schneier

19. The Internet generation gap Teens online www.emarketer.com www.pewinternet.com

20. 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 92% 88% www.isafe.org

21. 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% 14% My parents complain about the amount of time I spend on the Internet 23% www.isafe.org

22. The Internet generation gap age age * Wolak et al, 2007

23. 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

24. Content Filtering Techniques

25. Fundamental techniques

26. Content filtering solutions

27. 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

28. 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

29. Kaspersky Parental Control

30. Where does your child want to go? • We can have false positives, and users can report them • What are they ACTUALLY reporting as false positives? * Kaspersky Lab, 2010

31. Controversial categorization issues “I can't define pornography, but I know it when I see it.” - Justice Stewart in Jacobellisv.Ohio 378 US 184 (1964)

32. Controversial categorization issues: example Ooops…

33. Controversial categorization issues: example

34. Controversial categorization issues: example

35. 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

36. 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

37. Binaries

38. The Final Chapter

39. 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?

40. Thank you! Questions? Evgeny Kolotinsky, Konstantin Ignatev ParentalControl@kaspersky.com