April Falcon Doss
Cyber Privacy: Who Has Your Data and Why You Should Care
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April Falcon Doss
Cyber Privacy: Who Has Your Data and Why You Should Care
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April Falcon Doss, a cybersecurity and privacy expert with experience working for the NSA and the US government, explores the most common types of data being collected about individuals today and delve into how it is being used-sometimes against us-by the private sector, the government, and even our employers and schools.
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April Falcon Doss, a cybersecurity and privacy expert with experience working for the NSA and the US government, explores the most common types of data being collected about individuals today and delve into how it is being used-sometimes against us-by the private sector, the government, and even our employers and schools.
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Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Benbella Books
- Seitenzahl: 384
- Erscheinungstermin: 3. November 2020
- Englisch
- Abmessung: 236mm x 158mm x 35mm
- Gewicht: 586g
- ISBN-13: 9781948836920
- ISBN-10: 1948836920
- Artikelnr.: 58528465
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- 06621 890
- Verlag: Benbella Books
- Seitenzahl: 384
- Erscheinungstermin: 3. November 2020
- Englisch
- Abmessung: 236mm x 158mm x 35mm
- Gewicht: 586g
- ISBN-13: 9781948836920
- ISBN-10: 1948836920
- Artikelnr.: 58528465
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- 06621 890
April Falcon Doss
Contents
Introduction: Mapping the Privacy Landscape
Section I: What Kinds of Data Are We Talking About, and What Kind of
Privacy Do We Mean? Chapter 1: Categories of Data, and How It's Collected
Chapter 2: A Buzzsaw of Buzzwords: How Cloud Computing, Algorithms, and
Analytics Are Impacting Data Today Chapter 3: The Privacy Prism: A Single
Term with Many Dimensions Chapter 4: What's It to You? Understanding What
Privacy Is Worth
Section II: If You're Not Paying for the Product, You Are the Product
Chapter 5: The Big 4: Apple, Google, Facebook, Amazon Chapter 6: When Your
Data Goes to Someone You Didn't Expect Chapter 7: Minority Report: The
Algorithms Making Predictions About Your Current Mental Health, Your Future
Medical Conditions, and the Likelihood That You'll Commit a Crime Chapter
8: Differentiating the Real from the False
Section III: Power Play: How Personal Data Exacerbates the Imbalances in
Everyday Life Chapter 9: It's 11 PM. Do You Know Where Your Employees Are?
Chapter 10: Data-Driven Privacy Disorder? How Data Collection and
Algorithms Are Being Used in Education, and What That Means for Our Kids
Chapter 11: When Your Data Is You: Facial Recognition, Biometric
Technology, and Public Health Chapter 12: Underpaid Data Labor: AI
Training, Digital Piecework, and the Survey Economy Chapter 13: The Stalker
in Your Phone
Section IV: Who's Your Big Brother? Chapter 14: The US Intelligence
Community Post-WWII: Just Because You're Paranoid Doesn't Mean They're Not
Watching You Chapter 15: Where Do You Draw the Line? Data Collection in the
US Intelligence Community Post-9/11 Chapter 16: Mass Surveillance and Bulk
Interception: A Distinction with a Difference Chapter 17: Community
Policing: All Surveillance Is Local Chapter 18: Government Surveillance in
a Time of Trump: Why We Still Need It, How to Control It, and How to
Protect Ourselves Against It
Section V: Global Rules in a Connected World: How Other Countries Handle
Data Chapter 19: A Brief European (De-)Tour, or Is Being Forgotten Really a
Right? Chapter 20: Total(itarian) Surveillance: How the Other Half Lives
Section VI: Pandora's Box: Data's Dangers, and Finding Hope at the Bottom
of the Box Chapter 21: Quantum Policy, or How a New Approach to Law and
Policy Could Give Cyber Privacy a Fighting Chance
Conclusion: Making Sure That Human Beings Still Pass the Turing Test
Notes Acknowledgments About the Author Index
Introduction: Mapping the Privacy Landscape
Section I: What Kinds of Data Are We Talking About, and What Kind of
Privacy Do We Mean? Chapter 1: Categories of Data, and How It's Collected
Chapter 2: A Buzzsaw of Buzzwords: How Cloud Computing, Algorithms, and
Analytics Are Impacting Data Today Chapter 3: The Privacy Prism: A Single
Term with Many Dimensions Chapter 4: What's It to You? Understanding What
Privacy Is Worth
Section II: If You're Not Paying for the Product, You Are the Product
Chapter 5: The Big 4: Apple, Google, Facebook, Amazon Chapter 6: When Your
Data Goes to Someone You Didn't Expect Chapter 7: Minority Report: The
Algorithms Making Predictions About Your Current Mental Health, Your Future
Medical Conditions, and the Likelihood That You'll Commit a Crime Chapter
8: Differentiating the Real from the False
Section III: Power Play: How Personal Data Exacerbates the Imbalances in
Everyday Life Chapter 9: It's 11 PM. Do You Know Where Your Employees Are?
Chapter 10: Data-Driven Privacy Disorder? How Data Collection and
Algorithms Are Being Used in Education, and What That Means for Our Kids
Chapter 11: When Your Data Is You: Facial Recognition, Biometric
Technology, and Public Health Chapter 12: Underpaid Data Labor: AI
Training, Digital Piecework, and the Survey Economy Chapter 13: The Stalker
in Your Phone
Section IV: Who's Your Big Brother? Chapter 14: The US Intelligence
Community Post-WWII: Just Because You're Paranoid Doesn't Mean They're Not
Watching You Chapter 15: Where Do You Draw the Line? Data Collection in the
US Intelligence Community Post-9/11 Chapter 16: Mass Surveillance and Bulk
Interception: A Distinction with a Difference Chapter 17: Community
Policing: All Surveillance Is Local Chapter 18: Government Surveillance in
a Time of Trump: Why We Still Need It, How to Control It, and How to
Protect Ourselves Against It
Section V: Global Rules in a Connected World: How Other Countries Handle
Data Chapter 19: A Brief European (De-)Tour, or Is Being Forgotten Really a
Right? Chapter 20: Total(itarian) Surveillance: How the Other Half Lives
Section VI: Pandora's Box: Data's Dangers, and Finding Hope at the Bottom
of the Box Chapter 21: Quantum Policy, or How a New Approach to Law and
Policy Could Give Cyber Privacy a Fighting Chance
Conclusion: Making Sure That Human Beings Still Pass the Turing Test
Notes Acknowledgments About the Author Index
Contents
Introduction: Mapping the Privacy Landscape
Section I: What Kinds of Data Are We Talking About, and What Kind of
Privacy Do We Mean? Chapter 1: Categories of Data, and How It's Collected
Chapter 2: A Buzzsaw of Buzzwords: How Cloud Computing, Algorithms, and
Analytics Are Impacting Data Today Chapter 3: The Privacy Prism: A Single
Term with Many Dimensions Chapter 4: What's It to You? Understanding What
Privacy Is Worth
Section II: If You're Not Paying for the Product, You Are the Product
Chapter 5: The Big 4: Apple, Google, Facebook, Amazon Chapter 6: When Your
Data Goes to Someone You Didn't Expect Chapter 7: Minority Report: The
Algorithms Making Predictions About Your Current Mental Health, Your Future
Medical Conditions, and the Likelihood That You'll Commit a Crime Chapter
8: Differentiating the Real from the False
Section III: Power Play: How Personal Data Exacerbates the Imbalances in
Everyday Life Chapter 9: It's 11 PM. Do You Know Where Your Employees Are?
Chapter 10: Data-Driven Privacy Disorder? How Data Collection and
Algorithms Are Being Used in Education, and What That Means for Our Kids
Chapter 11: When Your Data Is You: Facial Recognition, Biometric
Technology, and Public Health Chapter 12: Underpaid Data Labor: AI
Training, Digital Piecework, and the Survey Economy Chapter 13: The Stalker
in Your Phone
Section IV: Who's Your Big Brother? Chapter 14: The US Intelligence
Community Post-WWII: Just Because You're Paranoid Doesn't Mean They're Not
Watching You Chapter 15: Where Do You Draw the Line? Data Collection in the
US Intelligence Community Post-9/11 Chapter 16: Mass Surveillance and Bulk
Interception: A Distinction with a Difference Chapter 17: Community
Policing: All Surveillance Is Local Chapter 18: Government Surveillance in
a Time of Trump: Why We Still Need It, How to Control It, and How to
Protect Ourselves Against It
Section V: Global Rules in a Connected World: How Other Countries Handle
Data Chapter 19: A Brief European (De-)Tour, or Is Being Forgotten Really a
Right? Chapter 20: Total(itarian) Surveillance: How the Other Half Lives
Section VI: Pandora's Box: Data's Dangers, and Finding Hope at the Bottom
of the Box Chapter 21: Quantum Policy, or How a New Approach to Law and
Policy Could Give Cyber Privacy a Fighting Chance
Conclusion: Making Sure That Human Beings Still Pass the Turing Test
Notes Acknowledgments About the Author Index
Introduction: Mapping the Privacy Landscape
Section I: What Kinds of Data Are We Talking About, and What Kind of
Privacy Do We Mean? Chapter 1: Categories of Data, and How It's Collected
Chapter 2: A Buzzsaw of Buzzwords: How Cloud Computing, Algorithms, and
Analytics Are Impacting Data Today Chapter 3: The Privacy Prism: A Single
Term with Many Dimensions Chapter 4: What's It to You? Understanding What
Privacy Is Worth
Section II: If You're Not Paying for the Product, You Are the Product
Chapter 5: The Big 4: Apple, Google, Facebook, Amazon Chapter 6: When Your
Data Goes to Someone You Didn't Expect Chapter 7: Minority Report: The
Algorithms Making Predictions About Your Current Mental Health, Your Future
Medical Conditions, and the Likelihood That You'll Commit a Crime Chapter
8: Differentiating the Real from the False
Section III: Power Play: How Personal Data Exacerbates the Imbalances in
Everyday Life Chapter 9: It's 11 PM. Do You Know Where Your Employees Are?
Chapter 10: Data-Driven Privacy Disorder? How Data Collection and
Algorithms Are Being Used in Education, and What That Means for Our Kids
Chapter 11: When Your Data Is You: Facial Recognition, Biometric
Technology, and Public Health Chapter 12: Underpaid Data Labor: AI
Training, Digital Piecework, and the Survey Economy Chapter 13: The Stalker
in Your Phone
Section IV: Who's Your Big Brother? Chapter 14: The US Intelligence
Community Post-WWII: Just Because You're Paranoid Doesn't Mean They're Not
Watching You Chapter 15: Where Do You Draw the Line? Data Collection in the
US Intelligence Community Post-9/11 Chapter 16: Mass Surveillance and Bulk
Interception: A Distinction with a Difference Chapter 17: Community
Policing: All Surveillance Is Local Chapter 18: Government Surveillance in
a Time of Trump: Why We Still Need It, How to Control It, and How to
Protect Ourselves Against It
Section V: Global Rules in a Connected World: How Other Countries Handle
Data Chapter 19: A Brief European (De-)Tour, or Is Being Forgotten Really a
Right? Chapter 20: Total(itarian) Surveillance: How the Other Half Lives
Section VI: Pandora's Box: Data's Dangers, and Finding Hope at the Bottom
of the Box Chapter 21: Quantum Policy, or How a New Approach to Law and
Policy Could Give Cyber Privacy a Fighting Chance
Conclusion: Making Sure That Human Beings Still Pass the Turing Test
Notes Acknowledgments About the Author Index