1. 陳昇瑋 中央研究院 資訊科學研究所 世代的資安議題

2. What is Web 2.0? (Andy Budd) “ Putting The We in Web” “ … the Living Web ” -- Newsweek, 4/3/2006

3. Global Traffic Ranking

4. Web 2.0 Growth

5. Web 2.0: Definition Web 2.0 is the network as platform , spanning all connected devices ; Web 2.0 applications are those that make the most of the intrinsic advantages of that platform: delivering software as a continually-updated service that gets better the more people use it, consuming and remixing data from multiple sources, including individual users, while providing their own data and services in a form that allows remixing by others, creating network effects through an " architecture of participation ," and going beyond the page metaphor of Web 1.0 to deliver rich user experiences . ( Figure courtesy of Irwin King )

6. Web 2.0: Interpretations ( Figure courtesy of Irwin King )

8. The Conversation Prism www.briansolis.com

10. e-mail Users 543 million Social Networking Users Social Spaces 484 million comScore Inc. WSJ 10/18/07 August 2007

13. One Facebook Profile (out of 175 million)

15. Let’s Look … MySpace http:// www.myspace.com /

16. 凡事有利必有弊 The top 10 social networking sites increased their audience of 46.8 million in 2005 to 68.8 million in April 2006, reaching 45% of active Web users.

18. Time to move sentry post to Web 2.0!

20. “ There is so much more personal information online."

21. 1. Nothing is Ever Deleted from the Internet

22. Yahoo Site History 1996

23. Yahoo Site History 2000

24. Yahoo Site History 2005

25. Yahoo Site History 2009

27. An Online Quiz (for fun) yes yes yes

28. Blackmail claim stirs fears over Facebook

29. LTA suspends top junior players

30. Whether asked website to delete data that no longer wanted to be public? Outcome of request to delete data:

31. 2. Information Leakage on SNS

35. 使用者以真實姓名稱呼朋友傾向與被朋友以真實姓名稱呼的比率具有高度相關 使用者的姓名洩露比例與性別 ( 上圖 ) 及使用者年齡 ( 下圖 ) 的關係 名稱種類 推測到的比例 暱稱 60% 全名 30% 名字 ( 不包括姓 ) 72% 全名或名字 78%

37. 使用者的就讀學校推測結果 ( 上圖 ) 及平均推測範圍 ( 邊數 ) 使用者的年齡推測結果 ( 上圖 ) 及平均推測範圍 ( 邊數 )

39. 無名小站情報分析事務所 http://mmnet.iis.sinica.edu.tw/proj/wretchinfo/

40. 分析結果（範例一）

41. 分析結果（範例二）

42. 問卷結果 ( 一 )

43. 問卷結果 ( 二 )

44. 服務使用後續追蹤 ( 一 ) 姓名洩露程度的變化 有沒有任何姓名洩露

45. 服務使用後續追蹤 ( 二 ) 姓名洩露程度與使用者反應的關係

46. 服務使用後續追蹤 ( 三 ) 姓名洩露程度與使用者態度的關係

47. 無名小站．文字繪 http://mmnet.iis.sinica.edu.tw/proj/tagart/

48. 無名小站．文字繪

50. Visual Shopping on Like.com

51. Content-based Image Retrieval (CBIR) Iguania Chelonia Amphisbaenia Alligatoridae Alligatorinae Crocodylidae Cricosaura typica Xantusia vigilis Elseya dentata Glyptemys muhlenbergii Phrynosoma braconnieri Phrynosoma ditmarsi Phrynosoma taurus Phrynosoma douglassii Phrynosoma hernandesi Alligator mississippiensis Caiman crocodilus Crocodylus cataphractus Tomistoma schlegelii Crocodylus johnstoni *Purgatorio -- Canto XXXIII 64

55. A Parrot As The Feature

60. Text-based CAPTCHA

61. WHAT ARE THESE PICTURES OF? Image-based CAPTCHA

62. THE IMAGES NEED TO BE RANDOMLY DISTORTED Image-based CAPTCHA

63. PLAYER 1 PLAYER 2 THE ESP GAME http://www.espgame.org/ GUESSING: CAR GUESSING: BOY GUESSING: CAR SUCCESS! YOU AGREE ON CAR SUCCESS! YOU AGREE ON CAR GUESSING: KID GUESSING: HAT

64. © 2004 Carnegie Mellon University, all rights reserved. Patent Pending.

65. SAMPLE LABELS BEACH CHAIRS SEA PEOPLE MAN WOMAN PLANT OCEAN TALKING WATER PORCH

66. 15 MILLION LABELS WITH 75,000 PLAYERS THE ESP GAME IS FUN THERE ARE MANY PEOPLE THAT PLAY OVER 20 HOURS A WEEK

67. SEARCH RESULTS OF CAR

68. SEARCH RESULTS OF DOG

69. SEARCH RESULTS OF 小甜甜布蘭妮

70. SEARCH RESULTS OF GOOGLE

71. Having Fun = Work

72. Idea of Human Computation Take advantage of people’s desire to be entertained and perform useful tasks as a side effect

73. Human Computation as OCR System

76. Phishing Attacks

77. Phishing through Emails

78. Official vs Phishing Pages http://www.ebay.com.fake.cc/ http://www.ebay.com/

82. Block Analysis

83. Layout Analysis

86. Example: Correct Classification

87. Example: Correct Classification

88. Example: Correct Classification

89. Example: Correct Classification

90. Example: Incorrect Classification

91. Example: Incorrect Classification

92. Example: Incorrect Classification

93. Example: Incorrect Classification

95. Phishing Page Matching (Classification)

97. Phishgig 1. Installed in Firefox 3.0.1 2. Live Status 3. Protected Pages Management http://mmnet.iis.sinica.edu.tw/proj/phishgig/

98. Phishgig in Action 1. Legitimate eBay login page 2. Fake eBay login page

105. Micro blogging

106. Twitter is HOT !

107. Twitter Vision 3D

108. Twitter Map

109. 看到許許多多的資安問題， 我們能做些什麼？

112. Privacy Control Settings of Facebook

119. Performance Evaluation

123. 謝謝各位！ 陳昇瑋 中央研究院 資訊科學研究所 http://www.iis.sinica.edu.tw/~swc

124. Questions