A guide for business enterprises on how to manage and govern big data, covering such topics as categories of data governance tools, data modeling, analytics and reporting, data security, and evaluation criteria for data governance platforms.
Apply Open Source Intelligence (OSINT) techniques, methods, and tools to acquire information from publicly available online sources to support your intelligence analysis. Use the harvested data in different scenarios such as financial, crime, and terrorism investigations as well as performing business competition analysis and acquiring intelligence about individuals and other entities. This book will also improve your skills to acquire information online from both the regular Internet as well as the hidden web through its two sub-layers: the deep web and the dark web. The author includes many OSINT resources that can be used by intelligence agencies as well as by enterprises to monitor trends on a global level, identify risks, and gather competitor intelligence so more effective decisions can be made. You will discover techniques, methods, and tools that are equally used by hackers and penetration testers to gather intelligence about a specific target online. And you will be aware of how OSINT resources can be used in conducting social engineering attacks. Open Source Intelligence Methods and Tools takes a practical approach and lists hundreds of OSINT resources that can be used to gather intelligence from online public sources. The book also covers how to anonymize your digital identity online so you can conduct your searching activities without revealing your identity. What You´ll Learn Identify intelligence needs and leverage a broad range of tools and sources to improve data collection, analysis, and decision making in your organization Use OSINT resources to protect individuals and enterprises by discovering data that is online, exposed, and sensitive and hide the data before it is revealed by outside attackers Gather corporate intelligence about business competitors and predict future market directions Conduct advanced searches to gather intelligence from social media sites such as Facebook and Twitter Understand the different layers that make up the Internet and how to search within the invisible web which contains both the deep and the dark webs Who This Book Is For Penetration testers, digital forensics investigators, intelligence services, military, law enforcement, UN agencies, and for-profit/non-profit enterprises
Security ist in aller Munde. Und unbestritten gilt heute nach Jahren der Konzentration auf stets neue technische Tools der Mensch als Schlüssel zum Erfolg der Unternehmenssicherheit. In diesem Zusammenhang ist viel von Security Awareness die Rede. Doch was bedeutet eigentlich Awareness? Reicht ´´Sensibilisierung´´? Reichen didaktische Veranstaltungen oder E-Learning-Tools aus oder sind vielmehr ganzheitliche Kommunikationsstrategien der Schlüssel für die oftmals beschworenen Verhaltensänderungen? Erfahrene Berater, Kommunikationsexperten, Psychologen und Software-Architekten aus Deutschland, Österreich und der Schweiz beschreiben, welche Rolle Sicherheitskultur im Rahmen von Awareness spielt, sowie Methoden für Analysen und Konzeption bzw. Implementierung von Maßnahmen. Checklisten und Quellenangaben für Tools und Kampagnen-Bausteine vervollständigen das Buch und machen es zu einem unverzichtbaren Führer durch eine hier erstmals beschriebene methodische Awareness-Kommunikation.
Maude is a language and system based on rewriting logic. In this comprehensive account, you´ll discover how Maude and its formal tool environment can be used in three mutually reinforcing ways: as a declarative programming language, as an executable formal specification language, and as a formal verification system. Examples used throughout the book illustrate key concepts, features, and the many practical uses of Maude.
This book presents a general introduction to the computational aspects of forensic science, covering the different tools needed for forensic investigations, the importance of forensics and biometrics, and the use of Benford´s law for biometrics and network traffic analysis. It specifically focuses on the application of these techniques in Africa, and how they can be of benefit in the investigation of crime in Nigeria in particular.
Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches. Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including substantial new chapters on probabilistic methods and on deep learning. Accompanying the book is a new version of the popular WEKA machine learning software from the University of Waikato. Authors Witten, Frank, Hall, and Pal include today´s techniques coupled with the methods at the leading edge of contemporary research. Please visit the book companion website at contains Powerpoint slides for Chapters 1-12. This is a very comprehensive teaching resource, with many PPT slides covering each chapter of the book Online Appendix on the Weka workbench; again a very comprehensive learning aid for the open source software that goes with the book Table of contents, highlighting the many new sections in the 4th edition, along with reviews of the 1st edition, errata, etc. Provides a thorough grounding in machine learning concepts, as well as practical advice on applying the tools and techniques to data mining projects Presents concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods Includes a downloadable WEKA software toolkit, a comprehensive collection of machine learning algorithms for data mining tasks-in an easy-to-use interactive interface Includes open-access online courses that introduce practical applications of the material in the book
Use the many types of tools required to navigate and maintain a microservice ecosystem. This book examines what is normally a complex system of interconnected services and clarifies them one at a time, first examining theoretical requirements then looking at concrete tools, configuration, and workflows. Building out these systems includes many concerns such as containerization, container orchestration, build pipelines and continuous integration solutions, automated testing, service discovery, logging and analytics. You will examine each of these tools and understand how they can be combined within an organization. You will design an automated build pipeline from Pull Request to container deployment, understand how to achieve High Availability and monitor application health with Service Discovery, and learn how to collaborate with other teams, write documentation, and describe bugs. Covering use of Jenkins, Docker, Kubernetes, the ELK stack (Elasticsearch, Logstash, and Kibana), and StatsD and Grafana for analytics, you will build on your existing knowledge of Service-Oriented Architecture and gain an advanced, practical understanding of everything from infrastructure development to team collaboration. What You´ll Learn Design an API to be convenient for developers to consume. Deploy dynamic instances of Microservices and allow then to discover each other. Track the health of a Microservice and be notified in case of degraded performance. Write effective documentation and communicate efficiently with other teams. Who This Book Is For Those who would like a better understanding of System Oriented Architecture. Those who would like to break a monolith into smaller Microservices. Those who are familiar with Microservices and would like a better understanding of peripheral technologies.
Teaches you to use Zoho CRM effectively to benefit your business. This book takes you through a number of real-life scenarios and teaches you how to use Zoho CRM to create solutions for your business, with no technical background needed and with little to no coding required. Sound too good to be true? Technology makes our lives easier and there are a large number of resources on offer to help with various tasks, including managing business information. With all the tools, apps, and services to choose from, it is still a daunting and often expensive undertaking for businesses to create solutions that fit their specific requirements. That´s where Zoho CRM comes in. Using this book you can create a fully-functional cloud-based app that manages your company information, is elegant to use, and cost-effective to maintain. Basic computer and internet skills is all you need to successfully launch your very own CRM with the help of this book. Get started today with Mastering Zoho CRM . What You´ll Learn Set up Zoho CRM properly from the ground up Model your business processes and implement them on Zoho CRM Centralize and manage your entire marketing, sales, and customer service processes Integrate CRM with other Zoho tools to streamline day to day business operations Create powerful dashboards and reports to provide relevant, actionable information to concerned people Use advanced CRM features such as workflow automation, role-based security, territories, etc. Connect Zoho CRM to external tools and services to extend features, and let CRM scale up with your business needs. Who This Book Is For Small business owners and solopreneurs who want to take control of the beating heart of their business -their marketing, sales, and customer-service efforts- without spending tens of thousands of dollars on customized solutions. Solution providers and consultants who want to learn the ins and outs of one of the hottest CRM tools in the market and provide winning related services to their clients by adding Zoho to their list of offerings.
This open access two-volume set LNCS 10980 and 10981 constitutes the refereed proceedings of the 30th International Conference on Computer Aided Verification, CAV 2018, held in Oxford, UK, in July 2018. The 52 full and 13 tool papers presented together with 3 invited papers and 2 tutorials were carefully reviewed and selected from 215 submissions. The papers cover a wide range of topics and techniques, from algorithmic and logical foundations of verication to practical applications in distributed, networked, cyber-physical, and autonomous systems. They are organized in topical sections on model checking, program analysis using polyhedra, synthesis, learning, runtime verification, hybrid and timed systems, tools, probabilistic systems, static analysis, theory and security, SAT, SMT and decisions procedures, concurrency, and CPS, hardware, industrial applications.