Android Forensics: Investigation, Analysis and Mobile Security for Google Android | Ebook

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Android Forensics: Investigation, Analysis, and Mobile Security for Google Android examines the Android mobile platform and shares techniques for the forensic acquisition and subsequent analysis of Android devices. Organized into seven chapters, the book looks at the history of the Android platform and its internationalization; it discusses the Android Open Source Project (aosp) and the Android Market; it offers a brief tutorial on Linux and Android forensics; and it explains how to create an Ubuntu-based virtual machine (vm). The book also considers a wide array of Android-supported hardware and device types, the various Android releases, the Android software development kit (sdk), the Davlik Vm, key components of Android security, and other fundamental concepts related to Android forensics, such as the Android debug bridge and the Usb debugging setting. In addition, it analyzes how data are stored on an Android device and describes strategies and specific utilities that a forensic analyst or security engineer can use to analyze an acquired Android device. Core Android developers and manufacturers, app developers, corporate security officers, and anyone with limited forensic experience will find this book extremely useful.named a 2011 Best Digital Forensics Book by Infosec Reviewsability to forensically acquire Android devices using the techniques outlined in the bookdetailed information about Android applications needed for forensics investigationsimportant information about Sqlite, a file based structured data storage relevant for both Android and many other platforms.

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Cybersecurity Leadership: Powering the Modern Organization | Ebook

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http://hlmp.us/j/b00j3pssv6
Special Purchase Paperback first for Free Kindle version. Two nominations for The Cybersecurity Canon 2016!! “…this book will change both the way we think about leadership and the way we understand information technology. I recommend this book highly to everyone.” Eric Schwartz Executive Director at Advena World Llc and Adjunct Professor in Economics at Montgomery College. “…explains what an organization needs to know to implement cybersecurity governance.” Council of Graduate Schools Testimony at the Us Senate Appropriations Committee Meeting, April 29, 2014.written in plain business language by one of the leading global thought leaders in cybersecurity who has 30 years of practical experience in the field, this book addresses the most neglected area of cybersecuritycybersecurity governancethe management, leadership, and engagement of people for the purposes of cybersecurity. This book is an essential book for anyone interested in understanding how cybersecurity should be led in an organization. All business executives or students at any level will benefit from this book. Cybersecurity can be a source of productivity and innovation and be a revenue driver. The leadership principles are applicable in any field and in any organization. The author is the only cybersecurity expert in the world with 12 years experience as Chief Information Officer, a Doctor of Science in Cybersecurity (ia), Cissp, Pmp, Cphims, Comptia Net+ and Comptia Sec+ certifications, two books on cybersecurity, and cybersecurity faculty rank at several Us National Centers of Academic Excellence in Ia Education (designated by Nsa and Dhs). The author serves as Program Chair, Cybersecurity Technology, The Graduate School, Umuc and is a sought after public speaker and media analyst.

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Channel: Bradly Batts
Published: 2017-06-19 13:44:29
Duration: 2M27S
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Data Lake Development with Big Data | Ebook

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http://hlmp.us/j/b015q7i3mi
Explore architectural approaches to building Data Lakes that ingest, index, manage, and analyze massive amounts of data using Big Data technologiesabout This Bookcomprehend the intricacies of architecting a Data Lake and build a data strategy around your current data architectureefficiently manage vast amounts of data and deliver it to multiple applications and systems with a high degree of performance and scalabilitypacked with industry best practices and use-case scenarios to get you up-and-runningwho This Book Is Forthis book is for architects and senior managers who are responsible for building a strategy around their current data architecture, helping them identify the need for a Data Lake implementation in an enterprise context. The reader will need a good knowledge of master data management and information lifecycle management, and experience of Big Data technologies.what You Will Learnidentify the need for a Data Lake in your enterprise context and learn to architect a Data Lakelearn to build various tiers of a Data Lake, such as data intake, management, consumption, and governance, with a focus on practical implementation scenariosfind out the key considerations to be taken into account while building each tier of the Data Lakeunderstand Hadoop-oriented data transfer mechanism to ingest data in batch, micro-batch, and real-time modesexplore various data integration needs and learn how to perform data enrichment and data transformations using Big Data technologiesenable data discovery on the Data Lake to allow users to discover the datadiscover how data is packaged and provisioned for consumptioncomprehend the importance of including data governance disciplines while building a Data Lakein Detaila Data Lake is a highly scalable platform for storing huge volumes of multistructured data from disparate sources with centralized data management services. This book explores the potential of Data Lakes and explores architectural approaches to building data lakes that ingest, index, manage, and analyze massive amounts of data using batch and real-time processing frameworks. It guides you on how to go about building a Data Lake that is managed by Hadoop and accessed as required by other Big Data applications.this book will guide readers (using best practices) in developing Data Lake’s capabilities. It will focus on architect data governance, security, data quality, data lineage tracking, metadata management, and semantic data tagging

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Channel: Bradly Batts
Published: 2017-06-19 13:42:46
Duration: 2M56S
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Business Math Using Excel | Ebook

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Prepare your students to meet the demands of today’s business world with the proven, practical dual approach in Burton/shelton’s Business Math Using Excel, 2nd Edition. This book equips readers to master the math concepts most useful in contemporary business by first teaching students the traditional methods of calculating. The authors then emphasize a second approach that teaches the same math concepts using the functions of Microsoft Excel. This edition of Business Math Using Excel prepares students to use the latest version of Excel 2010. Your future business professionals learn to create formulas and master the functions of Excel while developing high level math skills and refining other skills that will prepare them to succeed in the workplace. This edition’s new, full-color design presents concepts in manageable sections to help build confidence for students at all levels of math proficiency. New profiles and new personal finance features emphasize the practicality of the book’s content as they demonstrate how professionals use math daily and highlight common consumer issues. A new Coursemaster outcomes-based learning solution with homework tools and automatic grading saves you time while helping students focus on the concepts most important for business math success.important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

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Channel: Bradly Batts
Published: 2017-06-19 13:41:10
Duration: 1M53S
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Face Recognition Technique: A Literature Survey on Face Recognition and Insight on Machine | Ebook

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http://hlmp.us/j/b013az6mo4
Face recognition become very interesting topic of research because of lot of unsolved parameters. From past few decades number of researchers work on the topic to solve the problem of face recognition but still successful face recognition system is not yet implemented hence we proposed face recognition algorithm that match face matrix. As discuss face is nothing but a matrix so using Matlab software we do matrix manipulation and try to find best possible features for face recognition. In law enforcement and lot of commercial applications, such as in the area of access control systems, national identity, video surveillance, user authentication and retrieval of identity from a data base for criminal investigations face recognition play very important roll but due to challenging problem in real time applications it is not so user friendly. We take look on many unsolved parameters, such as face illumination, expression, pose, scale, low resolution, partial face (occlusion) and other environmental conditions, night video footage and day video footage. However, different pose and occlusion remains as major challenges in face recognition and these two problems affect the performance of face recognition in access control, authentication, and surveillance applications. To meet these challenges, the present study proposed a face recognition system using the analytical approach in which centre of two eye i.e. forehead used for feature extraction.in existing methods of analytical face recognition systems, features like eyes, nose, mouth where used as feature point but in proposed system we used forehead region maximum face recognition rate is 80% using Lab view software. In proposed analytical approach of face recognition, no any work has been done using above mention features but by using different features very little work had done.in literature study maximum recognition rate of analytical, holistic and hybrid approach is below 84% using different face database. In proposed Skm forehead feature work enhancement in recognition rates to 86% and require less time and also solve two big challenges half occlusion and different pose.facial recognition system is a most useful computer application or device that can identify individuals based on their unique facial characteristics

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Channel: Bradly Batts
Published: 2017-06-19 13:53:06
Duration: 2M56S
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The Selftaught Programmer: The Definitive Guide to Programming Professionally | Ebook

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http://hlmp.us/j/b01m01ydqa
I am a self-taught programmer. After a year of self-study, I learned to program well enough to land a job as a software engineer Ii at ebay. Once I got there, I realized I was severely under-prepared. I was overwhelmed by the amount of things I needed to know but hadn’t learned yet. My journey learning to program, and my experience at my first job as a software engineer were the inspiration for this book. This book is not just about learning to program; although you will learn to code. If you want to program professionally, it is not enough to learn to code; that is why, in addition to helping you learn to program, I also cover the rest of the things you need to know to program professionally that classes and books don’t teach you. “the Self-taught Programmer” is a roadmap, a guide to take you from writing your first Python program, to passing your first technical interview. I divided the book into six sections: 1. Learn to program in Python 3 and build your first program. 2. Learn Object-oriented programming and create a powerful Python program to get you hooked. 3. Learn to use tools like Git, Bash, regular expressions and databases. Then use your new coding skills to build a web scraper. 4. Study Computer Science fundamentals including computer architecture, data structures, algorithms and network programming. 5. Learn to program for production: I cover the software development process, testing, and best coding practices.6. Finish with tips for working with a team and landing a programming job.you Can learn to program professionally. The path is there. Will you take it?

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Channel: Bradly Batts
Published: 2017-06-19 13:34:50
Duration: 2M12S
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