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My personal questions to privacy
丼亳 仗舒于舒 仗仂亠仆?
1
2
3
Stakeholders?
State
Person Business
Stakeholders?
State
Person Business
仗亠仂仆舒仍仆 亟舒仆 - 于亟仂仄仂 亳 从仗仆 于亟仂仄仂亠亶 仗仂 亰亳仆 仂仂弍, 磻舒
亟亠仆亳从仂于舒仆舒 舒弍仂 仄仂亢亠 弍亳 从仂仆从亠仆仂 亟亠仆亳从仂于舒仆舒;
Personally identifiable information (PII), or Sensitive Personal Information as used in US
privacy law and information security, is information that can be used on its own or with other
information to identify, contact, or locate a single person, or to identify an individual in context
personal data means any information relating to an identified or identifiable natural person
(data subject); an identifiable natural person is one who can be identified, directly or
indirectly, in particular by reference to an identifier such as a name, an identification number,
location data, an online identifier or to one or more factors specific to the physical,
physiological, genetic, mental, economic, cultural or social identity of that natural person;
Which data?
Which data?
 Name, gender, race
 biometric data
 IP (static/dynamic)
 IMEI
 UDID
 MAC-address
 pseudonymized data
Are IP addresses considered as personal data from the perspective of a mobile
marketing agency holding such information?
Are device identifiers such as MAC addresses considered as personal data from the
perspective of a mobile marketing agency holding such information?
Which of the following mobile identifiers are considered as personal data from the
perspective of a mobile marketing agency holding such information??
Is biometric data (e.g. eye recognition, voice dictation, fingerprint unblocking)
considered to be sensitive personal data?
Are cookie-walls permitted (browser pop-ups that prevent users from entering the
website/app if they do not agree with the use of cookies)?
丼仂 仂?
舒亟仍亠亢舒亳亠 仂仆仂于舒仆亳 亟仍
仂弍舒弍仂从亳 亟舒仆仆
 弌仂亞仍舒亳亠 弍亠从舒 亟舒仆仆
 仂亞仂于仂
 丐亠弍亠 亰舒从仂仆仂仄
 亳亰仆亠仆仆仂于舒亢仆亶 亳仆亠亠
 弍仍亳仆舒 仍亢弍舒
 舒从仂仆仆亶 亳仆亠亠
 仂弍亠 从舒亠亞仂亳亳 亟舒仆仆
(于于亳亠仍仆亠 + 亞仂仍仂于从舒)
丼仂 仂?
仆亟亳于亳亟舒仍仆亠 仗舒于舒
 丕于亠亟仂仄仍亠仆亳亠
 仂仗
 仗舒于仍亠仆亳亠
 丕亟舒仍亠仆亳亠
 亞舒仆亳亠仆亳亠 仂弍舒弍仂从亳
 仂舒亳于仆仂 亟舒仆仆
 仂亰舒亢亠仆亳亠
 于仂仄舒亳亠从仂亠 仗亳仆亳亠
亠亠仆亳亶 (舒亰亠亠仆仂
亰舒从仂仆仂仄, 仆亠仂弍仂亟亳仄仂 亟仍
亰舒从仍ム亠仆亳 亟仂亞仂于仂舒, 
仂亞仍舒亳 仗仂仍亰仂于舒亠仍)
丼仂 仂?
亠亰仂仗舒仆仂 亟舒仆仆
 亠亰仂仗舒仆仂 舒仆亠仆亳
 亠亰仂仗舒仆仂
仂弍舒弍仂从亳/弍仂舒
 亠亰仂仗舒仆仂 仗亠亠亟舒亳
 丐亠弍仂于舒仆亳 仗仂 舒弍仂亠 
亠从仂亶 亟舒仆仆
(于亠亟仂仄仍亠仆亳亠 仂亞舒仆仂于 于
亠亠仆亳亠 72 舒仂于, 仗仂亠亟
于磦仍亠仆亳 束于仂亢亠仆亳亶損
Fines
The highest fines imposed by the national data protection authorities have issued vary from
 233.868,00 (the UK) to  2.556,46 (Bulgaria). In six countries, no fines have been issued for
alleged non-compliance with the laws that govern online and mobile marketing (Turkey, Poland,
Luxembourg, Switzerland, Belgium and France).
0
50000
100000
150000
200000
250000
UK SP GE IT HOL DK BUL TUR POL LUX S BE FR
弌舒 182. 仂亠仆仆 仆亠亟仂仂从舒仆仆仂 仗亳于舒仆仂亞仂 亢亳
1. 亠亰舒从仂仆仆亠 亰弍亳舒仆仆, 亰弍亠亞舒仆仆, 于亳从仂亳舒仆仆, 亰仆亳亠仆仆, 仗仂亳亠仆仆 从仂仆亟亠仆亶仆仂
仆仂仄舒 仗仂 仂仂弍 舒弍仂 仆亠亰舒从仂仆仆舒 亰仄仆舒 舒从仂 仆仂仄舒, 从仄 于亳仗舒亟从于, 仗亠亠亟弍舒亠仆亳
仆亳仄亳 舒礆亳 仂亞仂 仂亟亠从, -
从舒舒ム 舒仂仄 于亟 仗'亳仂 亟仂 仂亟仆 亳 仆亠仂仗仂亟舒从仂于于舒仆亳 仄仆仄仄于 亟仂仂亟于
亞仂仄舒亟礌 舒弍仂 于亳仗舒于仆亳仄亳 仂弍仂舒仄亳 仆舒 仂从 亟仂 亟于仂 仂从于, 舒弍仂 舒亠仂仄 仆舒 仂从 亟仂 亠亳
仄于, 舒弍仂 仂弍仄亠亢亠仆仆礆 于仂仍 仆舒 仂从 亟仂 仂 仂从于.
2. 丐 舒仄 亟, 于亳仆亠仆 仗仂于仂仆仂, 舒弍仂 磻仂 于仂仆亳 亰舒仗仂亟磿亳 仂仆 从仂亟 仂仂仂仆ミ火夷出湖 亰舒从仂仆仂仄
仗舒于舒仄, 于仂弍仂亟舒仄 舒 仆亠亠舒仄 仂仂弍亳, -
从舒舒ム 舒亠仂仄 仆舒 仂从 于亟 仂 亟仂 亠亳 仄于 舒弍仂 仂弍仄亠亢亠仆仆礆 于仂仍 仆舒 仂从 于亟 仂
亟仂 仗'亳 仂从于, 舒弍仂 仗仂亰弍舒于仍亠仆仆礆 于仂仍 仆舒 仂亶 舒仄亳亶 仂从.
亳仄从舒. 仂仆仂 从仂亟仂  亶 舒, 磻仂 于仂仆舒 仗仂仍磪舒  亰舒仗仂亟礌仆 仄舒亠舒仍仆亳 亰弍亳从于,
于于舒亢舒 舒从舒 从仂亟舒, 磻舒 于 仂  弍仍亠 舒亰于 仗亠亠于亳 仆亠仂仗仂亟舒从仂于于舒仆亳亶 仄仆仄仄 亟仂仂亟于
亞仂仄舒亟礌.
亠 亟仂仗从舒 仂弍仂弍从舒 亟舒仆亳 仗仂 亰亳仆 仂仂弍, 磻 
从仂仆亟亠仆亶仆仂 仆仂仄舒, 弍亠亰  亰亞仂亟亳, 从仄 于亳仗舒亟从于,
于亳亰仆舒亠仆亳 亰舒从仂仆仂仄,  仍亳亠 于 仆亠亠舒 仆舒仂仆舒仍仆仂
弍亠亰仗亠从亳, 亠从仂仆仂仄仆仂亞仂 亟仂弍仂弍 舒 仗舒于 仍ミ莞湖出.
My personal questions to privacy
1
My personal questions to privacy
My personal questions to privacy
My personal questions to privacy
2
What is big data?
My personal questions to privacy
My personal questions to privacy
My personal questions to privacy
gadomsky@axon.partners
 亟于舒 仄亠亶仍亳, 磻 于亳 仄亠仆 仗亳仍舒仍亳 仗亟 舒
仍亠从. 于亠仆 于舒亞, 仂 于 亰舒仍亠亢仆仂 于亟
亠从 于 仄亠亶仍 亰仄仆ムム  仗亟从舒亰从亳
舒于仂于亟仗仂于亟. 亳仂亟亳, 仂 舒从亳 亳舒
My personal questions to privacy
My personal questions to privacy
亳仆亳仄舒 仆舒仂亠亠 仂亞仍舒亠仆亳亠 亳仍亳
亳仗仂仍亰 仗仂亞舒仄仄仆仂亠 仂弍亠仗亠亠仆亳亠, 于
仂亞仍舒舒亠亠 仂 于亠仄亳 仍仂于亳礆
亳亠仆亰亳 仆舒 Microsoft Windows
弌仂弍亳舒亠 仍亳 仗仂亞舒仄仄仆仂亠 仂弍亠仗亠亠仆亳亠 仄仂亳
仗亠仂仆舒仍仆亠 亟舒仆仆亠?
亳 仗仂亟从仍ム亠仆亳亳 从仂仄仗ム亠舒 从 仆亠仆亠
仆亠从仂仂亠 于仂亰仄仂亢仆仂亳 仗仂亞舒仄仄仆仂亞仂 仂弍亠仗亠亠仆亳
仄仂亞 仂亠于仍 仗仂亟从仍ム亠仆亳亠 从
从仂仄仗ム亠仆仄 亳亠仄舒仄 Microsoft 亳仍亳 仗仂舒于亳从舒
仍亞 亳 仂仗舒于仍 亳 仗仂仍舒 亟舒仆仆亠,
于从仍ム舒 仗亠仂仆舒仍仆亠 亟舒仆仆亠
亳亠仆亰亳 仆舒 Microsoft Windows
舒从亳仄 仂弍舒亰仂仄 Microsoft 亳仗仂仍亰亠 于舒亳 亟舒仆仆亠? Microsoft
亳仗仂仍亰亠 于亠亟亠仆亳, 从仂仂亠 仂弍亳舒亠  仗仂仄仂 于仂亰仄仂亢仆仂亠亶
仗仂亞舒仄仄仆仂亞仂 仂弍亠仗亠亠仆亳, 亟仍 仂弍仆仂于仍亠仆亳 亳仍亳 亳仗舒于仍亠仆亳 于仂亠亞仂
仗仂亞舒仄仄仆仂亞仂 仂弍亠仗亠亠仆亳 亳 仍亠仆亳 于仂亳 仗仂亟从仂于 亳 仍亢弍 亟亞亳仄
仂弍舒亰仂仄. 亳 仂仗亠亟亠仍亠仆仆 仂弍仂亠仍于舒 Microsoft
舒从亢亠 仗亠亠亟舒亠 亟舒仆仆亠 亠亳仄 仍亳舒仄.
亳亠仆亰亳 仆舒 Microsoft Windows
弌亠于ム 仍亳 仂亞舒仆亳亠仆亳 于 仂仆仂亠仆亳亳 亟舒仆仆仂亞仂 仗仂亞舒仄仄仆仂亞仂
仂弍亠仗亠亠仆亳?
[ 于 仆亠 亳仄亠亠亠 仗舒于仂:  仂弍仂亟亳 亠仆亳亠从亳亠 亠亟于舒 亰舒亳
亟舒仆仆仂亞仂 仗仂亞舒仄仄仆仂亞仂 仂弍亠仗亠亠仆亳; 舒 舒从亢亠 亳亰舒
亠仆仂仍仂亞亳, 亟亠从仂仄仗亳仍亳仂于舒 亳仍亳
亟亠舒亠仄弍仍亳仂于舒 亟舒仆仆仂亠 仗仂亞舒仄仄仆仂亠 仂弍亠仗亠亠仆亳亠
亳亠仆亰亳 仆舒 Microsoft Windows
弌 于 丕从舒亳仆亠
How to avoid
tracking?
My personal questions to privacy
My personal questions to privacy
My personal questions to privacy
How to avoid
tracking?
3
My personal questions to privacy
My personal questions to privacy
My personal questions to privacy
PRISM (Program for Robotics, Intelligents Sensing and Mechatronics 亞仂亟舒于亠仆仆舒
仗仂亞舒仄仄舒 弌丿  从仂仄仗仍亠从 仄亠仂仗亳亳亶, 仂亠于仍磳仄  亠仍 仄舒仂于仂亞仂 仆亠亞仍舒仆仂亞仂
弍仂舒 亳仆仂仄舒亳亳, 仗亠亠亟舒于舒亠仄仂亶 仗仂 亠礆 仍亠从仂于磶亳, 仗亳仆舒
舒仄亠亳从舒仆从亳仄 亞亠仆于仂仄 仆舒亳仂仆舒仍仆仂亶 弍亠亰仂仗舒仆仂亳 () 于 2007 亞仂亟 于 从舒亠于亠
亰舒仄亠仆 Terrorist Surveillance Program (舒仆亞仍.)从., 仂仄舒仍仆仂 从仍舒亳亳亳仂于舒仆仆舒
从舒从 仂于亠亠仆仆仂 亠从亠仆舒[1].
丿亳仂从仂亶 仂弍亠于亠仆仆仂亳 仂 亠于仂于舒仆亳亳 仗仂亞舒仄仄 舒仍仂 亳亰于亠仆仂 6 亳ミ術 2013 亞仂亟舒,
从仂亞亟舒 仂于从亳 亳亰 亠从亠仆仂亶 仗亠亰亠仆舒亳亳 仂 PRISM 弍仍亳 仂仗弍仍亳从仂于舒仆 于 亞舒亰亠舒 束舒亳仆亞仂仆
仗仂損 亳 束舒亟亳舒仆損[2][3].
仂 仂亠仆从舒仄 Washington Post 仂 2010 亞仂亟a, 亠亢亠亟仆亠于仆仂 亳亠仄 弍仂舒 亳仆仂仄舒亳亳  (于 仂仄
亳仍亠 PRISM) 仗亠亠于舒于舒仍亳 亳 亰舒仗亳于舒仍亳 仂从仂仍仂 1,7 仄亳仍仍亳舒亟仂于 亠仍亠仂仆仆
舒亰亞仂于仂仂于 亳 仍亠从仂仆仆 仂仂弍亠仆亳亶 亳 仂从仂仍仂 5 仄亳仍仍亳舒亟仂于[8] 亰舒仗亳亠亶 仂
仄亠仂仆舒仂亢亟亠仆亳亳 亳 仗亠亠亟于亳亢亠仆亳 于仍舒亟亠仍亠于 仄仂弍亳仍仆 亠仍亠仂仆仂于 仗仂 于亠仄 仄亳.
亊从  于 于亳仂从仂亠仆仂仍仂亞仆 舒 从仂仄仆从舒亶仆 从仂仄仗舒仆, Google 仗仂亶仆仂 仂亳仄 亰舒仗亳亳 仆舒 仗仂于亟仂仄仍亠仆仆 亟舒仆亳
从仂亳于舒于 于亟 亟亠亢舒于仆亳 舒仆仂于  亟于 亰 仂亞仂 于. 丕 仂仄 亰于 仄亳 仂仗亳仍ミ莞術ム仄仂 从仍从 亰舒仗亳于,
仂亳仄舒仆亳 仗仂磪仂仄 亠亳 仄于 于亟 从仂亢仆仂 亟亠亢舒于仆仂 舒仆仂于亳, 亰 亟亠磻亳仄亳 仂弍仄亠亢亠仆仆礆亳. 仂亳于舒仆仆
仆舒亳仄亳 仍亢弍舒仄亳 亰仂舒 亰 从仂亢仆亳仄 仂从仂仄, 舒 仗舒舒仍亠仍仆仂 亰 亳仄 亰仂舒 亶 从仍从 亰舒仗亳于 仆舒 亟舒仆 从仂亳于舒于.
亊从  于 于亳仂从仂亠仆仂仍仂亞仆 舒 从仂仄仆从舒亶仆 从仂仄仗舒仆, Google 仗仂亶仆仂 仂亳仄
亰舒仗亳亳 仆舒 仗仂于亟仂仄仍亠仆仆 亟舒仆亳 从仂亳于舒于 于亟 亟亠亢舒于仆亳 舒仆仂于  亟于 亰 仂亞仂
于. 丕 仂仄 亰于 仄亳 仂仗亳仍ミ莞術ム仄仂 从仍从 亰舒仗亳于, 仂亳仄舒仆亳 仗仂磪仂仄 亠亳
仄于 于亟 从仂亢仆仂 亟亠亢舒于仆仂 舒仆仂于亳, 亰 亟亠磻亳仄亳 仂弍仄亠亢亠仆仆礆亳. 仂亳于舒仆仆
仆舒亳仄亳 仍亢弍舒仄亳 亰仂舒 亰 从仂亢仆亳仄 仂从仂仄, 舒 仗舒舒仍亠仍仆仂 亰 亳仄 亰仂舒 亶 从仍从
亰舒仗亳于 仆舒 亟舒仆 从仂亳于舒于.
[] 亳 仗亠亠于仄仂 从仂亢亠仆 亰舒仗亳, 仂弍 仗亠亠从仂仆舒亳, 仂 亶仂亞仂 仗仂亟舒仆仂 于 舒仄从舒
亳仆仆仂亞仂 亰舒从仂仆仂亟舒于于舒,  仄仂亢亠仄仂 于亟仄仂于亳亳 仆舒亟舒于舒亳 仆仂仄舒 亳 仗仂弍于舒亳
亰于亰亳亳 仂弍磪 亰舒仗亳 于 亟亠磻亳 于亳仗舒亟从舒.
My personal questions to privacy
Telegram vs the State
My personal questions to privacy
 Apple developed new encryption methods for its iOS operating system, versions 8 and later, "so
deep that Apple could no longer comply with government warrants asking for customer information
to be extracted from devices.
 San Bernardino attack. The attack killed 14 people and seriously injured 22.
 Although Farook's work phone was recovered intact, it had been locked with a four-digit password.
 FBI announced that it was unable to unlock the county-owned phone it recovered, due to its
advanced security features, including encryption of user data.
 The FBI first asked the National Security Agency to break into the phone, but they were unable to
since they only had knowledge of breaking into other devices that are commonly used by criminals,
and not iPhones.
 As a result, the FBI asked Apple Inc. to create a new version of the phone's iOS operating
system that could be installed and run in the phone's random access memory to disable certain
security features that Apple refers to as "GovtOS"
State
Person Business
Any ideas?

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Ad

My personal questions to privacy

  • 4. 1
  • 5. 2
  • 6. 3
  • 9. 仗亠仂仆舒仍仆 亟舒仆 - 于亟仂仄仂 亳 从仗仆 于亟仂仄仂亠亶 仗仂 亰亳仆 仂仂弍, 磻舒 亟亠仆亳从仂于舒仆舒 舒弍仂 仄仂亢亠 弍亳 从仂仆从亠仆仂 亟亠仆亳从仂于舒仆舒; Personally identifiable information (PII), or Sensitive Personal Information as used in US privacy law and information security, is information that can be used on its own or with other information to identify, contact, or locate a single person, or to identify an individual in context personal data means any information relating to an identified or identifiable natural person (data subject); an identifiable natural person is one who can be identified, directly or indirectly, in particular by reference to an identifier such as a name, an identification number, location data, an online identifier or to one or more factors specific to the physical, physiological, genetic, mental, economic, cultural or social identity of that natural person; Which data?
  • 10. Which data? Name, gender, race biometric data IP (static/dynamic) IMEI UDID MAC-address pseudonymized data
  • 11. Are IP addresses considered as personal data from the perspective of a mobile marketing agency holding such information?
  • 12. Are device identifiers such as MAC addresses considered as personal data from the perspective of a mobile marketing agency holding such information?
  • 13. Which of the following mobile identifiers are considered as personal data from the perspective of a mobile marketing agency holding such information??
  • 14. Is biometric data (e.g. eye recognition, voice dictation, fingerprint unblocking) considered to be sensitive personal data?
  • 15. Are cookie-walls permitted (browser pop-ups that prevent users from entering the website/app if they do not agree with the use of cookies)?
  • 16. 丼仂 仂? 舒亟仍亠亢舒亳亠 仂仆仂于舒仆亳 亟仍 仂弍舒弍仂从亳 亟舒仆仆 弌仂亞仍舒亳亠 弍亠从舒 亟舒仆仆 仂亞仂于仂 丐亠弍亠 亰舒从仂仆仂仄 亳亰仆亠仆仆仂于舒亢仆亶 亳仆亠亠 弍仍亳仆舒 仍亢弍舒 舒从仂仆仆亶 亳仆亠亠 仂弍亠 从舒亠亞仂亳亳 亟舒仆仆 (于于亳亠仍仆亠 + 亞仂仍仂于从舒)
  • 17. 丼仂 仂? 仆亟亳于亳亟舒仍仆亠 仗舒于舒 丕于亠亟仂仄仍亠仆亳亠 仂仗 仗舒于仍亠仆亳亠 丕亟舒仍亠仆亳亠 亞舒仆亳亠仆亳亠 仂弍舒弍仂从亳 仂舒亳于仆仂 亟舒仆仆 仂亰舒亢亠仆亳亠 于仂仄舒亳亠从仂亠 仗亳仆亳亠 亠亠仆亳亶 (舒亰亠亠仆仂 亰舒从仂仆仂仄, 仆亠仂弍仂亟亳仄仂 亟仍 亰舒从仍ム亠仆亳 亟仂亞仂于仂舒, 仂亞仍舒亳 仗仂仍亰仂于舒亠仍)
  • 18. 丼仂 仂? 亠亰仂仗舒仆仂 亟舒仆仆 亠亰仂仗舒仆仂 舒仆亠仆亳 亠亰仂仗舒仆仂 仂弍舒弍仂从亳/弍仂舒 亠亰仂仗舒仆仂 仗亠亠亟舒亳 丐亠弍仂于舒仆亳 仗仂 舒弍仂亠 亠从仂亶 亟舒仆仆 (于亠亟仂仄仍亠仆亳亠 仂亞舒仆仂于 于 亠亠仆亳亠 72 舒仂于, 仗仂亠亟 于磦仍亠仆亳 束于仂亢亠仆亳亶損
  • 19. Fines The highest fines imposed by the national data protection authorities have issued vary from 233.868,00 (the UK) to 2.556,46 (Bulgaria). In six countries, no fines have been issued for alleged non-compliance with the laws that govern online and mobile marketing (Turkey, Poland, Luxembourg, Switzerland, Belgium and France). 0 50000 100000 150000 200000 250000 UK SP GE IT HOL DK BUL TUR POL LUX S BE FR
  • 20. 弌舒 182. 仂亠仆仆 仆亠亟仂仂从舒仆仆仂 仗亳于舒仆仂亞仂 亢亳 1. 亠亰舒从仂仆仆亠 亰弍亳舒仆仆, 亰弍亠亞舒仆仆, 于亳从仂亳舒仆仆, 亰仆亳亠仆仆, 仗仂亳亠仆仆 从仂仆亟亠仆亶仆仂 仆仂仄舒 仗仂 仂仂弍 舒弍仂 仆亠亰舒从仂仆仆舒 亰仄仆舒 舒从仂 仆仂仄舒, 从仄 于亳仗舒亟从于, 仗亠亠亟弍舒亠仆亳 仆亳仄亳 舒礆亳 仂亞仂 仂亟亠从, - 从舒舒ム 舒仂仄 于亟 仗'亳仂 亟仂 仂亟仆 亳 仆亠仂仗仂亟舒从仂于于舒仆亳 仄仆仄仄于 亟仂仂亟于 亞仂仄舒亟礌 舒弍仂 于亳仗舒于仆亳仄亳 仂弍仂舒仄亳 仆舒 仂从 亟仂 亟于仂 仂从于, 舒弍仂 舒亠仂仄 仆舒 仂从 亟仂 亠亳 仄于, 舒弍仂 仂弍仄亠亢亠仆仆礆 于仂仍 仆舒 仂从 亟仂 仂 仂从于. 2. 丐 舒仄 亟, 于亳仆亠仆 仗仂于仂仆仂, 舒弍仂 磻仂 于仂仆亳 亰舒仗仂亟磿亳 仂仆 从仂亟 仂仂仂仆ミ火夷出湖 亰舒从仂仆仂仄 仗舒于舒仄, 于仂弍仂亟舒仄 舒 仆亠亠舒仄 仂仂弍亳, - 从舒舒ム 舒亠仂仄 仆舒 仂从 于亟 仂 亟仂 亠亳 仄于 舒弍仂 仂弍仄亠亢亠仆仆礆 于仂仍 仆舒 仂从 于亟 仂 亟仂 仗'亳 仂从于, 舒弍仂 仗仂亰弍舒于仍亠仆仆礆 于仂仍 仆舒 仂亶 舒仄亳亶 仂从. 亳仄从舒. 仂仆仂 从仂亟仂 亶 舒, 磻仂 于仂仆舒 仗仂仍磪舒 亰舒仗仂亟礌仆 仄舒亠舒仍仆亳 亰弍亳从于, 于于舒亢舒 舒从舒 从仂亟舒, 磻舒 于 仂 弍仍亠 舒亰于 仗亠亠于亳 仆亠仂仗仂亟舒从仂于于舒仆亳亶 仄仆仄仄 亟仂仂亟于 亞仂仄舒亟礌.
  • 21. 亠 亟仂仗从舒 仂弍仂弍从舒 亟舒仆亳 仗仂 亰亳仆 仂仂弍, 磻 从仂仆亟亠仆亶仆仂 仆仂仄舒, 弍亠亰 亰亞仂亟亳, 从仄 于亳仗舒亟从于, 于亳亰仆舒亠仆亳 亰舒从仂仆仂仄, 仍亳亠 于 仆亠亠舒 仆舒仂仆舒仍仆仂 弍亠亰仗亠从亳, 亠从仂仆仂仄仆仂亞仂 亟仂弍仂弍 舒 仗舒于 仍ミ莞湖出.
  • 23. 1
  • 27. 2
  • 28. What is big data?
  • 33. 亟于舒 仄亠亶仍亳, 磻 于亳 仄亠仆 仗亳仍舒仍亳 仗亟 舒 仍亠从. 于亠仆 于舒亞, 仂 于 亰舒仍亠亢仆仂 于亟 亠从 于 仄亠亶仍 亰仄仆ムム 仗亟从舒亰从亳 舒于仂于亟仗仂于亟. 亳仂亟亳, 仂 舒从亳 亳舒
  • 36. 亳仆亳仄舒 仆舒仂亠亠 仂亞仍舒亠仆亳亠 亳仍亳 亳仗仂仍亰 仗仂亞舒仄仄仆仂亠 仂弍亠仗亠亠仆亳亠, 于 仂亞仍舒舒亠亠 仂 于亠仄亳 仍仂于亳礆 亳亠仆亰亳 仆舒 Microsoft Windows
  • 37. 弌仂弍亳舒亠 仍亳 仗仂亞舒仄仄仆仂亠 仂弍亠仗亠亠仆亳亠 仄仂亳 仗亠仂仆舒仍仆亠 亟舒仆仆亠? 亳 仗仂亟从仍ム亠仆亳亳 从仂仄仗ム亠舒 从 仆亠仆亠 仆亠从仂仂亠 于仂亰仄仂亢仆仂亳 仗仂亞舒仄仄仆仂亞仂 仂弍亠仗亠亠仆亳 仄仂亞 仂亠于仍 仗仂亟从仍ム亠仆亳亠 从 从仂仄仗ム亠仆仄 亳亠仄舒仄 Microsoft 亳仍亳 仗仂舒于亳从舒 仍亞 亳 仂仗舒于仍 亳 仗仂仍舒 亟舒仆仆亠, 于从仍ム舒 仗亠仂仆舒仍仆亠 亟舒仆仆亠 亳亠仆亰亳 仆舒 Microsoft Windows
  • 38. 舒从亳仄 仂弍舒亰仂仄 Microsoft 亳仗仂仍亰亠 于舒亳 亟舒仆仆亠? Microsoft 亳仗仂仍亰亠 于亠亟亠仆亳, 从仂仂亠 仂弍亳舒亠 仗仂仄仂 于仂亰仄仂亢仆仂亠亶 仗仂亞舒仄仄仆仂亞仂 仂弍亠仗亠亠仆亳, 亟仍 仂弍仆仂于仍亠仆亳 亳仍亳 亳仗舒于仍亠仆亳 于仂亠亞仂 仗仂亞舒仄仄仆仂亞仂 仂弍亠仗亠亠仆亳 亳 仍亠仆亳 于仂亳 仗仂亟从仂于 亳 仍亢弍 亟亞亳仄 仂弍舒亰仂仄. 亳 仂仗亠亟亠仍亠仆仆 仂弍仂亠仍于舒 Microsoft 舒从亢亠 仗亠亠亟舒亠 亟舒仆仆亠 亠亳仄 仍亳舒仄. 亳亠仆亰亳 仆舒 Microsoft Windows
  • 39. 弌亠于ム 仍亳 仂亞舒仆亳亠仆亳 于 仂仆仂亠仆亳亳 亟舒仆仆仂亞仂 仗仂亞舒仄仄仆仂亞仂 仂弍亠仗亠亠仆亳? [ 于 仆亠 亳仄亠亠亠 仗舒于仂: 仂弍仂亟亳 亠仆亳亠从亳亠 亠亟于舒 亰舒亳 亟舒仆仆仂亞仂 仗仂亞舒仄仄仆仂亞仂 仂弍亠仗亠亠仆亳; 舒 舒从亢亠 亳亰舒 亠仆仂仍仂亞亳, 亟亠从仂仄仗亳仍亳仂于舒 亳仍亳 亟亠舒亠仄弍仍亳仂于舒 亟舒仆仆仂亠 仗仂亞舒仄仄仆仂亠 仂弍亠仗亠亠仆亳亠 亳亠仆亰亳 仆舒 Microsoft Windows
  • 46. 3
  • 50. PRISM (Program for Robotics, Intelligents Sensing and Mechatronics 亞仂亟舒于亠仆仆舒 仗仂亞舒仄仄舒 弌丿 从仂仄仗仍亠从 仄亠仂仗亳亳亶, 仂亠于仍磳仄 亠仍 仄舒仂于仂亞仂 仆亠亞仍舒仆仂亞仂 弍仂舒 亳仆仂仄舒亳亳, 仗亠亠亟舒于舒亠仄仂亶 仗仂 亠礆 仍亠从仂于磶亳, 仗亳仆舒 舒仄亠亳从舒仆从亳仄 亞亠仆于仂仄 仆舒亳仂仆舒仍仆仂亶 弍亠亰仂仗舒仆仂亳 () 于 2007 亞仂亟 于 从舒亠于亠 亰舒仄亠仆 Terrorist Surveillance Program (舒仆亞仍.)从., 仂仄舒仍仆仂 从仍舒亳亳亳仂于舒仆仆舒 从舒从 仂于亠亠仆仆仂 亠从亠仆舒[1]. 丿亳仂从仂亶 仂弍亠于亠仆仆仂亳 仂 亠于仂于舒仆亳亳 仗仂亞舒仄仄 舒仍仂 亳亰于亠仆仂 6 亳ミ術 2013 亞仂亟舒, 从仂亞亟舒 仂于从亳 亳亰 亠从亠仆仂亶 仗亠亰亠仆舒亳亳 仂 PRISM 弍仍亳 仂仗弍仍亳从仂于舒仆 于 亞舒亰亠舒 束舒亳仆亞仂仆 仗仂損 亳 束舒亟亳舒仆損[2][3]. 仂 仂亠仆从舒仄 Washington Post 仂 2010 亞仂亟a, 亠亢亠亟仆亠于仆仂 亳亠仄 弍仂舒 亳仆仂仄舒亳亳 (于 仂仄 亳仍亠 PRISM) 仗亠亠于舒于舒仍亳 亳 亰舒仗亳于舒仍亳 仂从仂仍仂 1,7 仄亳仍仍亳舒亟仂于 亠仍亠仂仆仆 舒亰亞仂于仂仂于 亳 仍亠从仂仆仆 仂仂弍亠仆亳亶 亳 仂从仂仍仂 5 仄亳仍仍亳舒亟仂于[8] 亰舒仗亳亠亶 仂 仄亠仂仆舒仂亢亟亠仆亳亳 亳 仗亠亠亟于亳亢亠仆亳 于仍舒亟亠仍亠于 仄仂弍亳仍仆 亠仍亠仂仆仂于 仗仂 于亠仄 仄亳.
  • 51. 亊从 于 于亳仂从仂亠仆仂仍仂亞仆 舒 从仂仄仆从舒亶仆 从仂仄仗舒仆, Google 仗仂亶仆仂 仂亳仄 亰舒仗亳亳 仆舒 仗仂于亟仂仄仍亠仆仆 亟舒仆亳 从仂亳于舒于 于亟 亟亠亢舒于仆亳 舒仆仂于 亟于 亰 仂亞仂 于. 丕 仂仄 亰于 仄亳 仂仗亳仍ミ莞術ム仄仂 从仍从 亰舒仗亳于, 仂亳仄舒仆亳 仗仂磪仂仄 亠亳 仄于 于亟 从仂亢仆仂 亟亠亢舒于仆仂 舒仆仂于亳, 亰 亟亠磻亳仄亳 仂弍仄亠亢亠仆仆礆亳. 仂亳于舒仆仆 仆舒亳仄亳 仍亢弍舒仄亳 亰仂舒 亰 从仂亢仆亳仄 仂从仂仄, 舒 仗舒舒仍亠仍仆仂 亰 亳仄 亰仂舒 亶 从仍从 亰舒仗亳于 仆舒 亟舒仆 从仂亳于舒于.
  • 52. 亊从 于 于亳仂从仂亠仆仂仍仂亞仆 舒 从仂仄仆从舒亶仆 从仂仄仗舒仆, Google 仗仂亶仆仂 仂亳仄 亰舒仗亳亳 仆舒 仗仂于亟仂仄仍亠仆仆 亟舒仆亳 从仂亳于舒于 于亟 亟亠亢舒于仆亳 舒仆仂于 亟于 亰 仂亞仂 于. 丕 仂仄 亰于 仄亳 仂仗亳仍ミ莞術ム仄仂 从仍从 亰舒仗亳于, 仂亳仄舒仆亳 仗仂磪仂仄 亠亳 仄于 于亟 从仂亢仆仂 亟亠亢舒于仆仂 舒仆仂于亳, 亰 亟亠磻亳仄亳 仂弍仄亠亢亠仆仆礆亳. 仂亳于舒仆仆 仆舒亳仄亳 仍亢弍舒仄亳 亰仂舒 亰 从仂亢仆亳仄 仂从仂仄, 舒 仗舒舒仍亠仍仆仂 亰 亳仄 亰仂舒 亶 从仍从 亰舒仗亳于 仆舒 亟舒仆 从仂亳于舒于.
  • 53. [] 亳 仗亠亠于仄仂 从仂亢亠仆 亰舒仗亳, 仂弍 仗亠亠从仂仆舒亳, 仂 亶仂亞仂 仗仂亟舒仆仂 于 舒仄从舒 亳仆仆仂亞仂 亰舒从仂仆仂亟舒于于舒, 仄仂亢亠仄仂 于亟仄仂于亳亳 仆舒亟舒于舒亳 仆仂仄舒 亳 仗仂弍于舒亳 亰于亰亳亳 仂弍磪 亰舒仗亳 于 亟亠磻亳 于亳仗舒亟从舒.
  • 57. Apple developed new encryption methods for its iOS operating system, versions 8 and later, "so deep that Apple could no longer comply with government warrants asking for customer information to be extracted from devices. San Bernardino attack. The attack killed 14 people and seriously injured 22. Although Farook's work phone was recovered intact, it had been locked with a four-digit password. FBI announced that it was unable to unlock the county-owned phone it recovered, due to its advanced security features, including encryption of user data. The FBI first asked the National Security Agency to break into the phone, but they were unable to since they only had knowledge of breaking into other devices that are commonly used by criminals, and not iPhones. As a result, the FBI asked Apple Inc. to create a new version of the phone's iOS operating system that could be installed and run in the phone's random access memory to disable certain security features that Apple refers to as "GovtOS"