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Cyber Guardians: Empowering Board Members for Effective Cybersecurity by Bart R. McDonough
English | September 26, 2023 | ISBN: 1394226225 | True PDF | 288 pages | 2.5 MB
A comprehensive overview for directors aiming to meet their cybersecurity responsibilities

In Cyber Guardians: Empowering Board Members for Effective Cybersecurity, veteran cybersecurity advisor Bart McDonough delivers a comprehensive and hands-on roadmap to effective cybersecurity oversight for directors and board members at organizations of all sizes. The author includes real-world case studies, examples, frameworks, and blueprints that address relevant cybersecurity risks, including the industrialized ransomware attacks so commonly found in today's headlines.
In the book, you'll explore the modern cybersecurity landscape, legal and regulatory requirements, risk management and assessment techniques, and the specific role played by board members in developing and promoting a culture of cybersecurity. You'll also find:
Examples of cases in which board members failed to adhere to regulatory and legal requirements to notify the victims of data breaches about a cybersecurity incident and the consequences they faced as a resultSpecific and actional cybersecurity implementation strategies written for readers without a technical backgroundWhat to do to prevent a cybersecurity incident, as well as how to respond should one occur in your organization
A practical and accessible resource for board members at firms of all shapes and sizes, Cyber Guardians is relevant across industries and sectors and a must-read guide for anyone with a stake in robust organizational cybersecurity.

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John N Bahcall, "DARK MATTER IN THE UNIVERSE Ed 2"
English | ISBN: 9812388400 | 2004 | 248 pages | PDF | 3 MB
If standard gravitational theory is correct, then most of the matter in the universe is in an unidentified form which does not emit enough light to have been detected by current instrumentation. This book is the second editon of the lectures given at the 4th Jerusalem Winter School for Theoretical Physics, with new material added. The lectures are devoted to the "missing matter" problem in the universe, the search to understand dark matter. The goal of this volume is to make current research work on unseen matter accessible to students without prior experience in this area and to provide insights for experts in related research fields. Due to the pedagogical nature of the original lectures and the intense discussions between the lecturers and the students, the written lectures included in this volume often contain techniques and explanations not found in more formal journal publications.

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Data Analytics for Smart Infrastructure: Asset Management and Network Performance
English | 2025 | ISBN: 103275415X | 203 Pages | PDF EPUB (True) | 32 MB
This book presents, for the first time, data analytics for smart infrastructures. The authors draw on over a decade's experience working with industry and demonstrating the capabilities of data analytics for infrastructure and asset management.

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Data Exfiltration Threats and Prevention Techniques: Machine Learning and Memory-Based Data Security by Zahir Tari, Nasrin Sohrabi, Yasaman Samadi, Jakapan Suaboot
English | June 7, 2023 | ISBN: 1119898870 | True EPUB | 288 pages | 11.8 MB
Comprehensive resource covering threat prevention techniques for data exfiltration and applying machine learning applications to aid in identification and prevention

Data Exfiltration Threats and Prevention Techniques provides readers the knowledge needed to prevent and protect from malware attacks by introducing existing and recently developed methods in malware protection using AI, memory forensic, and pattern matching, presenting various data exfiltration attack vectors and advanced memory-based data leakage detection, and discussing ways in which machine learning methods have a positive impact on malware detection.
Providing detailed descriptions of the recent advances in data exfiltration detection methods and technologies, the authors also discuss details of data breach countermeasures and attack scenarios to show how the reader may identify a potential cyber attack in the real world.
Composed of eight chapters, this book presents a better understanding of the core issues related to the cyber-attacks as well as the recent methods that have been developed in the field.
In Data Exfiltration Threats and Prevention Techniques, readers can expect to find detailed information on:
Sensitive data classification, covering text pre-processing, supervised text classification, automated text clustering, and other sensitive text detection approachesSupervised machine learning technologies for intrusion detection systems, covering taxonomy and benchmarking of supervised machine learning techniquesBehavior-based malware detection using API-call sequences, covering API-call extraction techniques and detecting data stealing behavior based on API-call sequencesMemory-based sensitive data monitoring for real-time data exfiltration detection and advanced time delay data exfiltration attack and detection
Aimed at professionals and students alike, Data Exfiltration Threats and Prevention Techniques highlights a range of machine learning methods that can be used to detect potential data theft and identifies research gaps and the potential to make change in the future as technology continues to grow.

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Shmueli, "Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro"
English | ISBN: 1118877438 | 2016 | 464 pages | PDF | 128 MB
Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro® presents an applied and interactive approach to data mining.

Featuring hands-on applications with JMP Pro®, a statistical package from the SAS Institute, the book
uses engaging, real-world examples to build a theoretical and practical understanding of key data mining methods, especially predictive models for classification and prediction. Topics include data visualization, dimension reduction techniques, clustering, linear and logistic regression, classification and regression trees, discriminant analysis, naive Bayes, neural networks, uplift modeling, ensemble models, and time series forecasting.
Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro® also includes:
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Data Science with Semantic Technologies: Theory, Practice and Application (Advances in Intelligent and Scientific Computing) edited by Archana Patel, Narayan C. Debnath, Bharat Bhusan
English | September 14, 2022 | ISBN: 1119864984 | True EPUB | 464 pages | 8.4 MB
This book will serve as an important guide toward applications of data science with semantic technologies for the upcoming generation and thus becomes a unique resource for scholars, researchers, professionals, and practitioners in this field.

To create intelligence in data science, it becomes necessary to utilize semantic technologies which allow machine-readable representation of data. This intelligence uniquely identifies and connects data with common business terms, and it also enables users to communicate with data. Instead of structuring the data, semantic technologies help users to understand the meaning of the data by using the concepts of semantics, ontology, OWL, linked data, and knowledge-graphs. These technologies help organizations to understand all the stored data, adding the value in it, and enabling insights that were not available before. As data is the most important asset for any organization, it is essential to apply semantic technologies in data science to fulfill the need of any organization.
Data Science with Semantic Technologies provides a roadmap for the deployment of semantic technologies in the field of data science. Moreover, it highlights how data science enables the user to create intelligence through these technologies by exploring the opportunities and eradicating the challenges in the current and future time frame. In addition, this book provides answers to various questions like: Can semantic technologies be able to facilitate data science? Which type of data science problems can be tackled by semantic technologies? How can data scientists benefit from these technologies? What is knowledge data science? How does knowledge data science relate to other domains? What is the role of semantic technologies in data science? What is the current progress and future of data science with semantic technologies? Which types of problems require the immediate attention of researchers?
Audience
Researchers in the fields of data science, semantic technologies, artificial intelligence, big data, and other related domains, as well as industry professionals, software engineers/scientists, and project managers who are developing the software for data science. Students across the globe will get the basic and advanced knowledge on the current state and potential future of data science.

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Data Structures: Abstraction and Design Using Java, 4th Edition by Elliot B. Koffman, Paul A. T. Wolfgang
English | February 3, 2021 | ISBN: 1119703611 | True PDF | 688 pages | 68.98 MB
Data Structures: Abstraction and Design Using Java offers a coherent and well-balanced presentation of data structure implementation and data structure applications with a strong emphasis on problem solving and software design. Step-by-step, the authors introduce each new data structure as an abstract data type (ADT), explain its underlying theory and computational complexity, provide its specification in the form of a Java interface, and demonstrate its implementation as one or more Java classes. Case studies using the data structures covered in the chapter show complete and detailed solutions to real-world problems, while a variety of software design tools are discussed to help students "Think, then code."

The book supplements its rigorous coverage of basic data structures and algorithms with chapters on sets and maps, balanced binary search trees, graphs, event-oriented programming, testing and debugging, and other key topics. The fourth edition of Data Structures: Abstraction and Design Using Java enables students to measure their progress after completing each section through interactive questions, quick-check questions, and review questions.

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Data Traffic Monitoring and Analysis: From Measurement, Classification, and Anomaly Detection to Quality of Experience By José Luis García-Dorado, Felipe Mata, Javier Ramos, Pedro M. Santiago del Río (auth.), Ernst Biersack, Christian Callegari, Maja Matijasevic (eds.)
2013 | 359 Pages | ISBN: 3642367836 | PDF | 11 MB
This book was prepared as the Final Publication of COST Action IC0703 "Data Traffic Monitoring and Analysis: theory, techniques, tools and applications for the future networks". It contains 14 chapters which demonstrate the results, quality,and the impact of European research in the field of TMA in line with the scientific objective of the Action. The book is structured into three parts: network and topology measurement and modelling, traffic classification and anomaly detection, quality of experience.

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Nirupam Chakraborti, "Data-Driven Evolutionary Modeling in Materials Technology"
English | 2022 | ISBN: 1032061731, 103206174X | PDF | pages: 319 | 41.4 mb
Due to efficacy and optimization potential of genetic and evolutionary algorithms, they are used in learning and modeling especially with the advent of big data related problems. This book presents the algorithms and strategies specifically associated with pertinent issues in materials science domain. It discusses the procedures for evolutionary multi-objective optimization of objective functions created through these procedures and introduces available codes. Recent applications ranging from primary metal production to materials design are covered. It also describes hybrid modeling strategy, and other common modeling and simulation strategies like molecular dynamics, cellular automata etc.

Features:
- Focuses on data-driven evolutionary modeling and optimization, including evolutionary deep learning.
- Include details on both algorithms and their applications in materials science and technology.
- Discusses hybrid data-driven modeling that couples evolutionary algorithms with generic computing strategies.
- Thoroughly discusses applications of pertinent strategies in metallurgy and materials.
- Provides overview of the major single and multi-objective evolutionary algorithms.
This book aims at Researchers, Professionals, and Graduate students in Materials Science, Data-Driven Engineering, Metallurgical Engineering, Computational Materials Science, Structural Materials, and Functional Materials.

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Database and Application Security: A Practitioner's Guide
English | 2024 | ISBN: 0138073732 | 676 Pages | PDF | 26 MB
In a time when the average cyberattack costs a company $9.48 million, organizations are desperate for qualified database administrators and software professionals. Hackers are more innovative than ever before. Increased cybercrime means front-end applications and back-end databases must be finetuned for a strong security posture. Database and Application Security: A Practitioner's Guide is the resource you need to better fight cybercrime and become more marketable in an IT environment that is short on skilled cybersecurity professionals.

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De Beers: Are Diamonds Forever? by Prof. Stephen W. Bradeley BSc (Hons)
English | January 1, 2024 | ISBN: N/A | ASIN: B0CRB9N3DX | 58 pages | EPUB | 0.22 Mb
In the radiant world of precious gems, no name is as synonymous with luxury, glamour, and power as that of De Beers. From its inception in the late 19th century, De Beers has captivated the imaginations of people all over the world with its dazzling diamonds and unmatched charisma. As you delve into each chapter, uncover the secrets behind the diamonds rise to prominence, exploring its impact on pop culture, geopolitics, and the very meaning of desire. Let yourself be captivated by a shimmering tale that illuminates the unseen facets of an iconic brand and unravels the complex web that connects our fascination with diamonds to a legacy that began over a century ago. Welcome to a glittering world where raw ambition and gleaming stones converge to create a saga as multifaceted as the diamonds themselves.

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Adrian Balch - de Havilland D.H.82 Tiger Moth
Hall Park Books | 2015 | ISBN: N/A | English | 408 pages | PDF | 116.08 MB
Warpaint Series No. 101

Complete and detailed history of the Tiger Moth history with notes on each air arm's operations. Contains detailed close-ups of the salient features and various modifications made to the type.

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Decentralization Technologies: Financial Sector in Change
English | 2024 | ISBN: 3031660463 | 509 Pages | PDF EPUB (True) | 6 MB
This book connects decentralization technologies with the world of finance and financial services. Increasingly, the financial sector is data-driven, with tensions arising between technical innovations and regulators' and consumers' expectations. Fundamentally, financial markets are competitive data markets. The authors of this edited book first identify where changes in the regulatory and business regime give rise to novel requirements and needs for these data markets. Next, the authors introduce three key decentralization technologies -decentralized digital identities, distributed ledger technologies, and federated learning. They discuss privacy-enhancing technologies such as zero-knowledge proofs and illustrate the demands of practical applications. The authors further provide explicit application examples to illustrate where and how these decentralization technologies allow to reflect business, customer, and regulatory requirements amid competitive markets. The volume concludes with an outlook on governance and the sustainability implications of decentralization.

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Decentralizing Finance: How DeFi, Digital Assets, and Distributed Ledger Technology Are Transforming Finance by Kenneth Bok
English | January 3rd, 2024 | ISBN: 1394154976 | 273 pages | True PDF | 5.86 MB
A Practitioner's Guide to Decentralized Finance (DeFi), Digital Assets, and Distributed Ledger Technology

In Decentralizing Finance: How DeFi, Digital Assets and Distributed Ledger Technology Are Transforming Finance, blockchain and digital assets expert Kenneth Bok offers an insightful exploration of the current state of decentralized finance (DeFi). As distributed ledger technology (DLT) increasingly optimizes and democratizes financial ecosystems worldwide, this book serves as a comprehensive guide to the most salient aspects of the ongoing transformation.
The text delves into both crypto-native DeFi and DLT applications in regulated financial markets, providing:
* Comprehensive analysis of crypto-native DeFi across key areas such as its competitive landscape, infrastructure, financial instruments, activities, and applications
* Coverage of key risks, mitigation strategies, and regulatory frameworks, analyzed through the perspective of international financial standard-setting bodies
* Insight into how DLT is reshaping traditional financial systems through innovations like central bank digital currencies (CBDCs), tokenized assets, tokenized deposits, and institutional-grade DeFi platforms
In a world where financial technology is rewriting the fundamental code of digital currency, the future of money is undeniably DLT-centric. How will this seismic shift interact with existing financial infrastructures? Can decentralization and traditional banking coexist and potentially synergize? This book endeavors to answer these pressing questions for financial professionals navigating these transformative times.
Authored by a former Goldman Sachs trader, past Head of Growth at Zilliqa, and an early Ethereum investor with extensive experience in both traditional finance and the crypto ecosystem, Decentralizing Finance provides you with an insider's perspective on the revolution that is DeFi.

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Deep Dive: Exploring the Real-world Value of Open Source Intelligence by Rae L. Baker
English | May 9, 2023 | ISBN: 1119933242 | True EPUB/PDF | 544 pages | 199/51.7 MB
Learn to gather and analyze publicly available data for your intelligence needs

In Deep Dive: Exploring the Real-world Value of Open Source Intelligence, veteran open-source intelligence analyst Rae Baker explains how to use publicly available data to advance your investigative OSINT skills and how your adversaries are most likely to use publicly accessible data against you. The author delivers an authoritative introduction to the tradecraft utilized by open-source intelligence gathering specialists while offering real-life cases that highlight and underline the data collection and analysis processes and strategies you can implement immediately while hunting for open-source info.
In addition to a wide breadth of essential OSINT subjects, you'll also find detailed discussions on ethics, traditional OSINT topics like subject intelligence, organizational intelligence, image analysis, and more niche topics like maritime and IOT. The book includes:
Practical tips for new and intermediate analysts looking for concrete intelligence-gathering strategiesMethods for data analysis and collection relevant to today's dynamic intelligence environmentTools for protecting your own data and information against bad actors and potential adversaries
An essential resource for new intelligence analysts, Deep Dive: Exploring the Real-world Value of Open Source Intelligence is also a must-read for early-career and intermediate analysts, as well as intelligence teams seeking to improve the skills of their newest team members.

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