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Data Leaks For Dummies

Data Leaks For Dummies
Author: Guy Bunker
Publisher: John Wiley & Sons
Total Pages: 572
Release: 2009-03-11
Genre: Computers
ISBN: 0470474645

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Data leaks expose your customers to identity theft and your business to security risks. But how do you set up a data loss prevention plan? Start with Data Leaks For Dummies! Now more than ever, it’s critical to keep your company data locked up tighter than Fort Knox. Data Leaks For Dummies has the scoop on what’s at risk, how leaks happen, how to keep your data safe without being inflexible, and even what to do if the worst happens. It shows you how to: Identify risk by learning to see your data the way a criminal would Recognize how innocent mistakes, common carelessness, and malicious insiders also pose a threat Learn how to defend against phishing, e-mail threats, and wireless security breaches Be alert for social engineering attacks, suspicious contract workers, dumpster divers, and plain old eavesdroppers Plan for safe disposal of old hardware, use caution with SMS and e-mail archives, and be aware of how Webcasts and conference calls can be invaded Discover how crooks steal data in public places such as Internet cafes Develop a recovery plan, build a team, and even manage press coverage should data loss occur You’ll learn why free data storage devices could cost you a lot, how to protect mobile devices, why data corruption might be even worse than data loss, and how you can help software developers build safer applications. Data Leaks For Dummies will help you protect your customers, the reputation of your business, and your bottom line.


Data Leakage for Dummies

Data Leakage for Dummies
Author: Lawrence C. Miller
Publisher:
Total Pages: 0
Release: 2009
Genre: Computer networks
ISBN: 9780470443262

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A Survey of Data Leakage Detection and Prevention Solutions

A Survey of Data Leakage Detection and Prevention Solutions
Author: Asaf Shabtai
Publisher: Springer Science & Business Media
Total Pages: 98
Release: 2012-03-16
Genre: Computers
ISBN: 1461420520

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SpringerBriefs present concise summaries of cutting-edge research and practical applications across a wide spectrum of fields. Featuring compact volumes of 50 to 100 pages (approximately 20,000- 40,000 words), the series covers a range of content from professional to academic. Briefs allow authors to present their ideas and readers to absorb them with minimal time investment. As part of Springer’s eBook collection, SpringBriefs are published to millions of users worldwide. Information/Data Leakage poses a serious threat to companies and organizations, as the number of leakage incidents and the cost they inflict continues to increase. Whether caused by malicious intent, or an inadvertent mistake, data loss can diminish a company’s brand, reduce shareholder value, and damage the company’s goodwill and reputation. This book aims to provide a structural and comprehensive overview of the practical solutions and current research in the DLP domain. This is the first comprehensive book that is dedicated entirely to the field of data leakage and covers all important challenges and techniques to mitigate them. Its informative, factual pages will provide researchers, students and practitioners in the industry with a comprehensive, yet concise and convenient reference source to this fascinating field. We have grouped existing solutions into different categories based on a described taxonomy. The presented taxonomy characterizes DLP solutions according to various aspects such as: leakage source, data state, leakage channel, deployment scheme, preventive/detective approaches, and the action upon leakage. In the commercial part we review solutions of the leading DLP market players based on professional research reports and material obtained from the websites of the vendors. In the academic part we cluster the academic work according to the nature of the leakage and protection into various categories. Finally, we describe main data leakage scenarios and present for each scenario the most relevant and applicable solution or approach that will mitigate and reduce the likelihood and/or impact of the leakage scenario.


A Survey of Data Leakage Detection and Prevention Solutions

A Survey of Data Leakage Detection and Prevention Solutions
Author: Asaf Shabtai
Publisher: Springer Science & Business Media
Total Pages: 98
Release: 2012-03-15
Genre: Computers
ISBN: 1461420539

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SpringerBriefs present concise summaries of cutting-edge research and practical applications across a wide spectrum of fields. Featuring compact volumes of 50 to 100 pages (approximately 20,000- 40,000 words), the series covers a range of content from professional to academic. Briefs allow authors to present their ideas and readers to absorb them with minimal time investment. As part of Springer’s eBook collection, SpringBriefs are published to millions of users worldwide. Information/Data Leakage poses a serious threat to companies and organizations, as the number of leakage incidents and the cost they inflict continues to increase. Whether caused by malicious intent, or an inadvertent mistake, data loss can diminish a company’s brand, reduce shareholder value, and damage the company’s goodwill and reputation. This book aims to provide a structural and comprehensive overview of the practical solutions and current research in the DLP domain. This is the first comprehensive book that is dedicated entirely to the field of data leakage and covers all important challenges and techniques to mitigate them. Its informative, factual pages will provide researchers, students and practitioners in the industry with a comprehensive, yet concise and convenient reference source to this fascinating field. We have grouped existing solutions into different categories based on a described taxonomy. The presented taxonomy characterizes DLP solutions according to various aspects such as: leakage source, data state, leakage channel, deployment scheme, preventive/detective approaches, and the action upon leakage. In the commercial part we review solutions of the leading DLP market players based on professional research reports and material obtained from the websites of the vendors. In the academic part we cluster the academic work according to the nature of the leakage and protection into various categories. Finally, we describe main data leakage scenarios and present for each scenario the most relevant and applicable solution or approach that will mitigate and reduce the likelihood and/or impact of the leakage scenario.


Compliance for Dummies

Compliance for Dummies
Author: Lawrence C. Miller
Publisher:
Total Pages: 68
Release: 2010
Genre: Compliance
ISBN: 9780470900680

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Weight Loss Surgery For Dummies

Weight Loss Surgery For Dummies
Author: Marina S. Kurian
Publisher: John Wiley & Sons
Total Pages: 379
Release: 2011-04-27
Genre: Health & Fitness
ISBN: 1118054547

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Get the scoop on weight loss surgery Your authoritative guide to weight loss surgery -- before, during, and after Considering weight loss surgery? This compassionate guide helps you determine whether you qualify and gives you the scoop on selecting the best center and surgical team, understanding today's different procedures, and achieving the best results. You also get tips on eating properly post-op and preparing appetizing meals, as well as easing back into your day-to-day life. Discover how to * Evaluate your surgical options * Understand the risks * Prepare for surgery * Handle post-op challenges * Find sources of support


Machine Learning For Dummies

Machine Learning For Dummies
Author: John Paul Mueller
Publisher: John Wiley & Sons
Total Pages: 471
Release: 2021-02-09
Genre: Computers
ISBN: 1119724015

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One of Mark Cuban’s top reads for better understanding A.I. (inc.com, 2021) Your comprehensive entry-level guide to machine learning While machine learning expertise doesn’t quite mean you can create your own Turing Test-proof android—as in the movie Ex Machina—it is a form of artificial intelligence and one of the most exciting technological means of identifying opportunities and solving problems fast and on a large scale. Anyone who masters the principles of machine learning is mastering a big part of our tech future and opening up incredible new directions in careers that include fraud detection, optimizing search results, serving real-time ads, credit-scoring, building accurate and sophisticated pricing models—and way, way more. Unlike most machine learning books, the fully updated 2nd Edition of Machine Learning For Dummies doesn't assume you have years of experience using programming languages such as Python (R source is also included in a downloadable form with comments and explanations), but lets you in on the ground floor, covering the entry-level materials that will get you up and running building models you need to perform practical tasks. It takes a look at the underlying—and fascinating—math principles that power machine learning but also shows that you don't need to be a math whiz to build fun new tools and apply them to your work and study. Understand the history of AI and machine learning Work with Python 3.8 and TensorFlow 2.x (and R as a download) Build and test your own models Use the latest datasets, rather than the worn out data found in other books Apply machine learning to real problems Whether you want to learn for college or to enhance your business or career performance, this friendly beginner's guide is your best introduction to machine learning, allowing you to become quickly confident using this amazing and fast-developing technology that's impacting lives for the better all over the world.


CCSP For Dummies with Online Practice

CCSP For Dummies with Online Practice
Author: Deane
Publisher: John Wiley & Sons
Total Pages: 368
Release: 2020-08-26
Genre: Computers
ISBN: 111964836X

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Secure your CSSP certification CCSP is the world’s leading Cloud Security certification. It covers the advanced technical skills and knowledge to design, manage, and secure data, applications, and infrastructure in the cloud using best practices, policies, and procedures. If you’re a cloud security professional seeking your CSSP certification, this book is a perfect way to prepare for the exam. Covering in detail all six domains, the expert advice in this book gives you key information you'll need to pass the exam. In addition to the information covered on the exam, you'll get tips on setting up a study plan, tips for exam day, and access to an online test bank of questions. Key information for all six exam domains Test -taking and exam day tips and tricks Free online practice questions and flashcards Coverage of the core concepts From getting familiar with the core concepts to establishing a study plan, this book is all you need to hang your hat on that certification!


Feature Engineering and Selection

Feature Engineering and Selection
Author: Max Kuhn
Publisher: CRC Press
Total Pages: 266
Release: 2019-07-25
Genre: Business & Economics
ISBN: 1351609467

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The process of developing predictive models includes many stages. Most resources focus on the modeling algorithms but neglect other critical aspects of the modeling process. This book describes techniques for finding the best representations of predictors for modeling and for nding the best subset of predictors for improving model performance. A variety of example data sets are used to illustrate the techniques along with R programs for reproducing the results.


Data Science Programming All-in-One For Dummies

Data Science Programming All-in-One For Dummies
Author: John Paul Mueller
Publisher: John Wiley & Sons
Total Pages: 768
Release: 2020-01-09
Genre: Computers
ISBN: 1119626110

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Your logical, linear guide to the fundamentals of data science programming Data science is exploding—in a good way—with a forecast of 1.7 megabytes of new information created every second for each human being on the planet by 2020 and 11.5 million job openings by 2026. It clearly pays dividends to be in the know. This friendly guide charts a path through the fundamentals of data science and then delves into the actual work: linear regression, logical regression, machine learning, neural networks, recommender engines, and cross-validation of models. Data Science Programming All-In-One For Dummies is a compilation of the key data science, machine learning, and deep learning programming languages: Python and R. It helps you decide which programming languages are best for specific data science needs. It also gives you the guidelines to build your own projects to solve problems in real time. Get grounded: the ideal start for new data professionals What lies ahead: learn about specific areas that data is transforming Be meaningful: find out how to tell your data story See clearly: pick up the art of visualization Whether you’re a beginning student or already mid-career, get your copy now and add even more meaning to your life—and everyone else’s!