Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
10 Don'ts on Your Digital Devices: The Non-Techie's Survival Guide to Cyber Security and Privacy


In nontechnical language and engaging style, 10 Don’ts on Your Digital Devices explains to non-techie users of PCs and handheld devices exactly what to do and what not to do to protect their digital data from security and privacy threats at home, at work, and on the road. These include chronic threats such as malware and phishing attacks and emerging threats that exploit cloud‐based storage and mobile apps.

It’s a wonderful thing to be able to use any of your cloud-synced assortment of desktop, portable, mobile, and wearable computing devices to work from home, shop at work, pay in a store, do your banking from a coffee shop, submit your tax returns from the airport, or post your selfies from the Oscars. But with this new world of connectivity and convenience comes a host of new perils for the lazy, the greedy, the unwary, and the ignorant. The 10 Don’ts can’t do much for the lazy and the greedy, but they can save the unwary and the ignorant a world of trouble.

10 Don’ts employs personal anecdotes and major news stories to illustrate what can—and all too often does—happen when users are careless with their devices and data. Each chapter describes a common type of blunder (one of the 10 Don’ts), reveals how it opens a particular port of entry to predatory incursions and privacy invasions, and details all the unpleasant consequences that may come from doing a Don’t. The chapter then shows you how to diagnose and fix the resulting problems, how to undo or mitigate their costs, and how to protect against repetitions with specific software defenses and behavioral changes.

Through ten vignettes told in accessible language and illustrated with helpful screenshots, 10 Don’ts teaches non-technical readers ten key lessons for protecting your digital security and privacy with the same care you reflexively give to your physical security and privacy, so that you don’t get phished, give up your password, get lost in the cloud, look for a free lunch, do secure things from insecure places, let the snoops in, be careless when going mobile, use dinosaurs, or forget the physical—in short, so that you don’t trust anyone over…anything.

Non-techie readers are not unsophisticated readers. They spend much of their waking lives on their devices and are bombarded with and alarmed by news stories of unimaginably huge data breaches, unimaginably sophisticated "advanced persistent threat" activities by criminal organizations and hostile nation-states, and unimaginably intrusive clandestine mass electronic surveillance and data mining sweeps by corporations, data brokers, and the various intelligence and law enforcement arms of our own governments. The authors lift the veil on these shadowy realms, show how the little guy is affected, and what individuals can do to shield themselves from big predators and snoops.

What you’ll learn

After reading 10 Don’ts, you will understand how to:

  • detect and report phishing scams
  • choose better passwords and how to manage and safeguard all of them
  • use cloud‐based storage services more safely
  • shield your data from the prying eyes of government agencies, data brokers, corporations, and criminals
  • steer through the risks of public wireless network, shared computers, and obsolete devices
  • select and configure apps for your mobile devices without unknowingly compromising your privacy and security
  • lock, safeguard, and erase your physical devices

Who this book is for

The primary target audience for 10 Don’ts is just about everybody—namely, non-techie individuals who routinely use computers, smartphones, and tablets in their daily lives but who are nagged by persistent worry that they are exposing themselves to personal insecurity, intrusive surveillance, and criminal violation. The secondary readerships for this book include employees of small businesses lacking dedicated IT specialists, whose owners want to give their workers a short and entertaining book to reduce the risk of business loss from unsafe practices; households with multigenerational users, ranging from incautious teenagers to gullible grandparents; and private and public professionals who curate third-party personal data and are liable to litigation or discipline if data is stolen or otherwise compromised.

Table of Contents

Chapter 1. Don’t Get Phished

Chapter 2. Don’t Give Up Your Password

Chapter 3. Don’t Get Lost in the Cloud

Chapter 4. Don’t Look for a Free Lunch

Chapter 5. Don’t Do Secure Things from Insecure Places

Chapter 6. Don’t Let the Snoops In

Chapter 7. Don’t Be Careless When Going Mobile

Chapter 8. Don’t Use Dinosaurs

Chapter 9. Don’t Trust Anyone Over…Anything

Chapter 10. Don’t Forget the Physical


(HTML tags aren't allowed.)

Aspect-Oriented Software Development with Use Cases
Aspect-Oriented Software Development with Use Cases

Aspect-oriented programming (AOP) is a revolutionary new way to think about software engineering. AOP was introduced to address crosscutting concerns such as security, logging, persistence, debugging, tracing, distribution, performance monitoring, and exception handling in a more effective manner. Unlike conventional development...

Python Data Analysis
Python Data Analysis

Key Features

  • Find, manipulate, and analyze your data using the Python 3.5 libraries
  • Perform advanced, high-performance linear algebra and mathematical calculations with clean and efficient Python code
  • An easy-to-follow guide with realistic examples that are frequently used in real-world data...
Software Project Estimation: Intelligent Forecasting, Project Control, and Client Relationship Management
Software Project Estimation: Intelligent Forecasting, Project Control, and Client Relationship Management
Have you been on projects where halfway down the road it seems increasingly unlikely that you will finish as desired, but you can’t put your finger on it and simply push through with a growing resentment? Have you been in meetings where scope discussions get increasingly difficult and depressing, ultimately sucking the...

Flexible Neuro-Fuzzy Systems : Structures, Learning and Performance Evaluation
Flexible Neuro-Fuzzy Systems : Structures, Learning and Performance Evaluation
Over the last decade fuzzy sets and fuzzy logic introduced in 1965 by
Lotfi Zadeh [113] have been used in a wide range of problem domains
including process control, image processing, pattern recognition and
classification, management, economics and decision making. Specific
applications include washing-machine automation,
Trustworthy Computing: Analytical and Quantitative Engineering Evaluation
Trustworthy Computing: Analytical and Quantitative Engineering Evaluation
"The book itself is a commendable achievement, and it deals with the security and software reliability theory in an integrated fashion with emphasis on practical applications to software engineering and information technology. It is an excellent and unique book and definitely a seminal contribution and first of its kind."


MongoDB Applied Design Patterns
MongoDB Applied Design Patterns

Whether you’re building a social media site or an internal-use enterprise application, this hands-on guide shows you the connection between MongoDb and the business problems it’s designed to solve. You’ll learn how to apply MongoDb design patterns to several challenging domains, such as ecommerce, content...

©2020 LearnIT (support@pdfchm.net) - Privacy Policy