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5G Wireless Network Security and Privacy (IEEE Press)
Par Yi Qian, Rose Qingyang Hu, DongFeng Fang. 2024
5G WIRELESS NETWORK An expert presentation of 5G security, privacy, and network performance In 5G Wireless Network Security and Privacy,…
a team of veteran engineers delivers a robust and accessible discussion of 5G security solutions, including physical layer security, authentication, and mobility management. In the book, the authors expertly cover the requirements of 5G wireless network security and privacy, with explorations of existing solutions and vulnerabilities from security architecture and mechanism perspectives. Readers will learn how to enhance the security and network performance of 5G wireless networks in contexts like vehicle‐to‐vehicle and vehicle‐to‐infrastructure communications, industrial automation, health services, smart cities, and smart homes. They will develop a comprehensive understanding of 5G wireless network security as they move through the book’s 11 insightful chapters, developing in‐depth knowledge on the current state of 5G security and coming developments in the field. Readers will also find: A thorough introduction to legacy cellular network security, including network performance development from 1G to 4G In‐depth treatments of 5G network security, including the motivation and objectives of 5G wireless network security Comprehensive explorations of wireless security solutions, including cryptographic approaches and physical layer security Fulsome discussions of the security architecture of cellular networks, including 3G and 4G security Perfect for researchers and professionals working in the field of cybersecurity and 5G wireless networks, 5G Wireless Network Security and Privacy will also earn a place in the libraries of engineers, computer scientists, and graduate students studying 5G network security and privacy.Understand the key aspects and challenges of machine learning interpretability, learn how to overcome them with interpretation methods, and leverage…
them to build fairer, safer, and more reliable modelsKey FeaturesLearn how to extract easy-to-understand insights from any machine learning modelBecome well-versed with interpretability techniques to build fairer, safer, and more reliable modelsMitigate risks in AI systems before they have broader implications by learning how to debug black-box modelsBook DescriptionDo you want to understand your models and mitigate risks associated with poor predictions using machine learning (ML) interpretation? Interpretable Machine Learning with Python can help you work effectively with ML models. The first section of the book is a beginner's guide to interpretability, covering its relevance in business and exploring its key aspects and challenges. You'll focus on how white-box models work, compare them to black-box and glass-box models, and examine their trade-off. The second section will get you up to speed with a vast array of interpretation methods, also known as Explainable AI (XAI) methods, and how to apply them to different use cases, be it for classification or regression, for tabular, time-series, image or text. In addition to the step-by-step code, the book also helps the reader to interpret model outcomes using examples. In the third section, you'll get hands-on with tuning models and training data for interpretability by reducing complexity, mitigating bias, placing guardrails, and enhancing reliability. The methods you'll explore here range from state-of-the-art feature selection and dataset debiasing methods to monotonic constraints and adversarial retraining. By the end of this book, you'll be able to understand ML models better and enhance them through interpretability tuning.What you will learnRecognize the importance of interpretability in businessStudy models that are intrinsically interpretable such as linear models, decision trees, and Naive BayesBecome well-versed in interpreting models with model-agnostic methodsVisualize how an image classifier works and what it learnsUnderstand how to mitigate the influence of bias in datasetsDiscover how to make models more reliable with adversarial robustnessUse monotonic constraints to make fairer and safer modelsWho this book is forThis book is for data scientists, machine learning developers, and data stewards who have an increasingly critical responsibility to explain how the AI systems they develop work, their impact on decision making, and how they identify and manage bias. Working knowledge of machine learning and the Python programming language is expected.Leverage powerful features of the SQL Server and watch your infrastructure transform into a high-performing, reliable network of systems.Key FeaturesExplore…
more than 20 real-world use cases to understand SQL Server featuresGet to grips with the SQL Server Always On technologyLearn how to choose HA and DR topologies for your systemBook DescriptionProfessional SQL Server High Availability and Disaster Recovery explains the high availability and disaster recovery technologies available in SQL Server: Replication, AlwaysOn, and Log Shipping. You'll learn what they are, how to monitor them, and how to troubleshoot any related problems. You will be introduced to the availability groups of AlwaysOn and learn how to configure them to extend your database mirroring. Through this book, you will be able to explore the technical implementations of high availability and disaster recovery technologies that you can use when you create a highly available infrastructure, including hybrid topologies. Note that this course does not cover SQL Server Failover Cluster Installation with shared storage.By the end of the book, you'll be equipped with all that you need to know to develop robust and high performance infrastructure.What you will learnConfigure and troubleshoot Replication, AlwaysOn, and Log ShippingStudy the best practices to implement HA and DR solutionsDesign HA and DR topologies for the SQL Server and study how to choose a topology for your environmentUse T-SQL to configure replication, AlwaysOn, and log shippingMigrate from On-Premise SQL Server to Azure SQL DatabaseManage and maintain AlwaysOn availability groups for extended database mirroringWho this book is forProfessional SQL Server High Availability and Disaster Recovery is for you if you are a database administrator or database developer who wants to improve the performance of your production environment. Prior experience of working with SQL Server will help you get the most out of this book.Microsoft Power BI Cookbook: Gain expertise in Power BI with over 90 hands-on recipes, tips, and use cases, 2nd Edition
Par Brett Powell, Greg Deckler. 2021
Build effective analytical data models, reports, and dashboards using the advanced features of Power BI.Purchase of the print or Kindle…
book includes a free eBook in the PDF format.Key FeaturesUpdate your knowledge with new recipes for query optimization, aggregation tables, Power BI API, and paginated reportsWork with recipes across diverse Power BI platforms including the Power BI Service and Mobile ApplicationsImplement custom solutions with M and DAX languages through actionable guidance and proven development techniquesBook DescriptionThe complete everyday reference guide to Power BI, written by an internationally recognized Power BI expert duo, is back with a new and updated edition. Packed with revised practical recipes, Microsoft Power BI Cookbook, Second Edition, helps you navigate Power BI tools and advanced features. It also demonstrates the use of end-to-end solutions that integrate those features to get the most out of Power BI. With the help of the recipes in this book, you'll gain advanced design and development insight, practical tips, and guidance on enhancing existing Power BI projects. The updated recipes will equip you with everything you need to know to implement evergreen frameworks that will stay relevant as Power BI updates. You'll familiarize yourself with Power BI development tools and services by going deep into the data connectivity, transformation, modeling, visualization, and analytical capabilities of Power BI. By the end of this book, you'll make the most of Power BI's functional programming languages of DAX and M and deliver powerful solutions to common business intelligence challenges.What you will learnCleanse, stage, and integrate your data sources with Power Query (M)Remove data complexities and provide users with intuitive, self-service BI capabilitiesBuild business logic and analysis into your solutions via the DAX programming language and dashboard-ready calculationsImplement aggregation tables to accelerate query performance over large data sourcesCreate and integrate paginated reportsUnderstand the differences and implications of DirectQuery, live connections, Import, and Composite model datasetsIntegrate other Microsoft data tools into your Power BI solutionWho this book is forIf you're a BI professional who wants to up their knowledge of Power BI and offer more value to their organization, then this book is for you. Those looking for quick solutions to common Power BI problems will also find this book an extremely useful resource. Please be aware that this is not a beginner's guide; you'll need a solid understanding of Power BI and experience working with datasets before you dive in.Good Data: An Optimist's Guide to Our Digital Future
Par Sam Gilbert. 2021
AN FT BUSINESS BOOK OF THE MONTHThe book that will make you rethink everything you thought you knew about data,…
privacy and the future of Big Tech. 'We are currently living in a moment of extreme pessimism about data. This book will change your mind.' Almost everything we do generates data.Digital technology is now so pervasive that it's very hard to escape its influence, and with that growth comes fear. But whatever the news has told you about data and technology, think again.Data expert and tech insider Sam Gilbert shows that, actually, this data revolution could be the best thing that ever happened to us.Good Data examines the incredible new ways this information explosion is already helping us – whether that's combating inequality, creating jobs, advancing the frontiers of knowledge or protecting us from coronavirus – and explains why the best is yet to come.Data touches everything, from our biggest hates (online advertising) to our greatest loves (our pets), and in this fascinating new book, Gilbert explores how, if we can embrace the revolution (even the ads), we could all live vastly improved lives.We are standing on the edge of greatness, we just need to know how to get there.Encyclopedia of Digital Agricultural Technologies
Par Qin Zhang. 2023
Digital agriculture is an emerging concept of modern farming that refers to managing farms using modern Engineering, Information and Communication…
Technologies (EICT) aiming at increasing the overall efficiency of agricultural production, improving the quantity and quality of products, and optimizing the human labor required and natural resource consumption in operations. This encyclopedia is designed to collect the summaries of knowledge on as many as subjects or aspects relevant to ECIT for digital agriculture, present such knowledge in entries, and arrange them alphabetically by articles titles.Springer Major Reference Works platform offers Live Update capability. Our reference work takes full advantage of this feature, which allows for continuous improvement or revision of published content electronically.The Editorial BoardDr. Irwin R. Donis-Gonzalez, University of California Davis, Dept. Biological and Agricultural Engineering, Davis, USA (Section: Postharvest Technologies)Prof. Paul Heinemann, Pennsylvania State University, Department Head of Agricultural and Biological Engineering, PA, USA (Section: Technologies for Crop Production)Prof. Manoj Karkee, Washington State University, Center for Precision and Automated Agricultural Systems, Washington, USA (Section: Robotics and Automation Technologies)Prof. Minzan Li, China Agricultural University, Beijing, China (Section: Precision Agricultural Technologies)Prof. Dikai Liu, University of Technology Sydney (UTS),Faculty of Engineering & Information Technologies, Broadway NSW, Australia (Section: AI, Information and Communication Technologies)Prof. Tomas Norton, University of Leuven, Dept. of Biosystems, Heverlee Leuven, Belgium (Section: Technologies for Animal and Aquatic Production)Dr. Manuela Zude-Sasse, Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Precision Horticulture, Potsdam, Germany (Section: Engineering and Mechanization Technologies)Machine Learning Contests: A Guidebook
Par Peng Liu, Qian Qian, Wang He. 2023
This book systematically introduces the competitions in the field of algorithm and machine learning. The first author of the book…
has won 5 championships and 5 runner-ups in domestic and international algorithm competitions.Firstly, it takes common competition scenarios as a guide by giving the main processes of using machine learning to solve real-world problems, namely problem modelling, data exploration, feature engineering, model training. And then lists the main points of difficulties, general ideas with solutions in the whole process. Moreover, this book comprehensively covers several common problems in the field of machine learning competitions such as recommendation, temporal prediction, advertising, text computing, etc. The authors, also knew as "competition professionals”, will explain the actual cases in detail and teach you various processes, routines, techniques and strategies, which is a rare treasure book for all competition enthusiasts. It is very suitable for readers who are interested in algorithm competitions and deep learning algorithms in practice, or computer-related majors.Applications of Computational Intelligence Techniques in Communications (Advances in Manufacturing, Design and Computational Intelligence Techniques)
Par Mridul Gupta, Pawan Kumar Verma, Rajesh Verma and Dharmendra Kr. Upadhyay. 2024
The book titled "Applications of Computational Intelligence Techniques in Communications" is a one-stop platform for the researchers, academicians, and people…
from industry to get a thorough understanding of the latest research in the field of communication engineering. Over the past decade, a manyfold increase in the use of computational intelligence techniques has been identified for obtaining the most optimal and timely solution to a problem. The various aspects covering the significant contribution of numerous computational intelligence techniques have been discussed in detail in this book. Today’s era of machine learning and Internet of Things (IoT) is demanding as high as possible data rate which has resulted into tremendous increased speed of communication. To match-up the pace, the computational intelligence is posing to be the most efficient and favourite tool. The book aims to cover the current technological advancements in the field of communication engineering and give a detailed prospect of computational intelligence to its readers. This book will be a great support to the people working in the field of IoT, machine learning, healthcare, optimization, filter design, 5G and beyond, signal processing etc. The chapters included here will expose its audience to various newly introduced and advanced computational intelligence techniques applicable in communication domain. The readers will be exposed multiple interdisciplinary areas of research in communication and will get the motivation to work in collaboration with other professionals from both the academia and industry.Intelligent Systems and Sustainable Computing: Proceedings of ICISSC 2022 (Smart Innovation, Systems and Technologies #363)
Par V. Kamakshi Prasad, Jiacun Wang, V. Sivakumar Reddy, Naga Mallikarjuna Rao Dasari. 2023
This book is a collection of best selected research papers presented at Second International Conference on Intelligent Systems and Sustainable…
Computing (ICISSC 2022), held in School of Engineering, Malla Reddy University, Hyderabad, India, during December 16–17, 2022. The book covers recent research in intelligent systems, intelligent business systems, soft computing, swarm intelligence, artificial intelligence and neural networks, data mining and data warehousing, cloud computing, distributed computing, big data analytics, Internet of things (IoT), machine learning, speech processing, sustainable high-performance systems, VLSI and embedded systems, image and video processing and signal processing and communication.This two-volume set LNCS 14134 and LNCS 14135 constitutes the refereed proceedings of the 17th International Work-Conference on Artificial Neural…
Networks, IWANN 2023, held in Ponta Delgada, Portugal, during June 19–21, 2023.The 108 full papers presented in this two-volume set were carefully reviewed and selected from 149 submissions.The papers in Part I are organized in topical sections on advanced topics in computational intelligence; advances in artificial neural networks; ANN HW-accelerators; applications of machine learning in biomedicine and healthcare; and applications of machine learning in time series analysis. The papers in Part II are organized in topical sections on deep learning and applications; deep learning applied to computer vision and robotics; general applications of artificial intelligence; interaction with neural systems in both health and disease; machine learning for 4.0 industry solutions; neural networks in chemistry and material characterization; ordinal classification; real world applications of BCI systems; and spiking neural networks: applications and algorithms.The Enterprise Big Data Framework: Building Critical Capabilities to Win in the Data Economy
Par Jan-Willem Middelburg. 2024
Businesses who can make sense of the huge influx and complexity of data will be the big winners in the…
information economy. This comprehensive guide covers all the aspects of transforming enterprise data into value, from the initial set-up of a big data strategy, towards algorithms, architecture and data governance processes. Using a vendor-independent approach, The Enterprise Big Data Framework offers practical advice on how to develop data-driven decision making, detailed data analysis and data engineering techniques.With a focus on business implementation, The Enterprise Big Data Framework includes sections on analysis, engineering, algorithm design and big data architecture, and covers topics such as data preparation and presentation, data modelling, data science, programming languages and machine learning algorithms. Endorsed by leading accreditation and examination institute AMPG International, this book is required reading for the Enterprise Big Data Certifications, which aim to develop excellence in big data practices across the globe. Online resources include sample data for practice purposes.Causal Artificial Intelligence: The Next Step in Effective Business AI
Par Judith S. Hurwitz, John K. Thompson. 2023
Discover the next major revolution in data science and AI and how it applies to your organization In Causal Artificial…
Intelligence: The Next Step in Effective, Efficient, and Practical AI, a team of dedicated tech executives delivers a business-focused approach based on a deep and engaging exploration of the models and data used in causal AI. The book’s discussions include both accessible and understandable technical detail and business context and concepts that frame causal AI in familiar business settings. Useful for both data scientists and business-side professionals, the book offers: Clear and compelling descriptions of the concept of causality and how it can benefit your organization Detailed use cases and examples that vividly demonstrate the value of causality for solving business problems Useful strategies for deciding when to use correlation-based approaches and when to use causal inferenceAn enlightening and easy-to-understand treatment of an essential business topic, Causal Artificial Intelligence is a must-read for data scientists, subject matter experts, and business leaders seeking to familiarize themselves with a rapidly growing area of AI application and research.This four-volume set (CCIS 643, 644, 645, 646) constitutes the refereed proceedings of the 16th Asia Simulation Conference and the…
First Autumn Simulation Multi-Conference, AsiaSim / SCS AutumnSim 2016, held in Beijing, China, in October 2016. The 265 revised full papers presented were carefully reviewed and selected from 651 submissions. The papers in this first volume of the set are organized in topical sections on modeling and simulation theory and methodology; model engineering for system of systems; high performance computing and simulation; modeling and simulation for smart city.Medical Image Computing and Computer Assisted Intervention – MICCAI 2021: 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part VI (Lecture Notes in Computer Science #12906)
Par Yefeng Zheng, Stéphane Cotin, Caroline Essert, Stefanie Speidel, Philippe C. Cattin, Marleen De Bruijne, Nicolas Padoy. 2021
The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th…
International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.*The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: image segmentation Part II: machine learning - self-supervised learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning - advances in machine learning theory; machine learning - attention models; machine learning - domain adaptation; machine learning - federated learning; machine learning - interpretability / explainability; and machine learning - uncertainty Part IV: image registration; image-guided interventions and surgery; surgical data science; surgical planning and simulation; surgical skill and work flow analysis; and surgical visualization and mixed, augmented and virtual reality Part V: computer aided diagnosis; integration of imaging with non-imaging biomarkers; and outcome/disease prediction Part VI: image reconstruction; clinical applications - cardiac; and clinical applications - vascular Part VII: clinical applications - abdomen; clinical applications - breast; clinical applications - dermatology; clinical applications - fetal imaging; clinical applications - lung; clinical applications - neuroimaging - brain development; clinical applications - neuroimaging - DWI and tractography; clinical applications - neuroimaging - functional brain networks; clinical applications - neuroimaging – others; and clinical applications - oncology Part VIII: clinical applications - ophthalmology; computational (integrative) pathology; modalities - microscopy; modalities - histopathology; and modalities - ultrasound*The conference was held virtually.Intelligent Multimedia Signal Processing for Smart Ecosystems
Par Shabir A. Parah, Nasir N. Hurrah, Ekram Khan. 2023
A smart ecosystem is envisioned to exchange and analyze data across systems, enabling a flexible, faster, and reliable smart ecosystem…
for high-quality results at reduced costs and little human intervention. This book introduces many innovative approaches and provides solutions to various problems of smart ecosystems designed by employing various techniques/models based on AI, ML, Deep Learning, and the Internet of Things (IoT). The main focus is on intelligent multimedia processing and automated decision-making for various services, real-time data analysis, data security, cost-effective solutions for multimedia applications, smart information processing systems, and smart city planning to name a few. In addition, this book presents some key insights and future directions in the various areas of technology. Throughout the book, many state-of-the-art solutions concerning various applications are proposed to solve the issues and ensure the quality of services (QoS). The authors discuss the limitations of the current techniques used to design a smart ecosystem and highlight some prospective areas of research in the future. The book comprehensively discusses multimedia processing of various forms of data comprising text, images, and audio for the implementation of various solutions. The book is aimed to open many areas of research and thus would present a comprehensive reference for the design of smart ecosystems in various applications.CompTIA Security+ Study Guide with over 500 Practice Test Questions: Exam SY0-701 (Sybex Study Guide)
Par David Seidl, Mike Chapple. 2024
Discover key exam objectives and crucial cybersecurity concepts for the CompTIA Security+ SY0-701 exam, along with an online test bank…
with hundreds of practice questions and flashcards In the newly revised ninth edition of CompTIA Security+ Study Guide: Exam SY0-701, veteran cybersecurity professionals and educators Mike Chapple and David Seidl deliver easy-to-follow coverage of the security fundamentals tested by the challenging CompTIA SY0-701 exam. You’ll explore general security concepts, threats, vulnerabilities, mitigations, security architecture and operations, as well as security program management and oversight. You’ll get access to the information you need to start a new career—or advance an existing one—in cybersecurity, with efficient and accurate content. You’ll also find: Practice exams that get you ready to succeed on your first try at the real thing and help you conquer test anxiety Hundreds of review questions that gauge your readiness for the certification exam and help you retain and remember key concepts Complimentary access to the online Sybex learning environment, complete with hundreds of additional practice questions and flashcards, and a glossary of key terms Perfect for everyone planning to take the CompTIA SY0-701 exam, as well as those aiming to secure a higher-level certification like the CASP+, CISSP, or CISA, this study guide will also earn a place on the bookshelves of anyone who’s ever wondered if IT security is right for them. It’s a must-read reference!Development Methodologies for Big Data Analytics Systems: Plan-driven, Agile, Hybrid, Lightweight Approaches (Transactions on Computational Science and Computational Intelligence)
Par Manuel Mora, Jorge Marx Gomez, Fen Wang, Hector Duran-Limon. 2024
This book presents research in big data analytics (BDA) for business of all sizes. The authors analyze problems presented in…
the application of BDA in some businesses through the study of development methodologies based on the three approaches – 1) plan-driven, 2) agile and 3) hybrid lightweight. The authors first describe BDA systems and how they emerged with the convergence of Statistics, Computer Science, and Business Intelligent Analytics with the practical aim to provide concepts, models, methods and tools required for exploiting the wide variety, volume, and velocity of available business internal and external data - i.e. Big Data – and provide decision-making value to decision-makers. The book presents high-quality conceptual and empirical research-oriented chapters on plan-driven, agile, and hybrid lightweight development methodologies and relevant supporting topics for BDA systems suitable to be used for large-, medium-, and small-sized business organizations.Secrecy, Covertness and Authentication in Wireless Communications: Physical Layer Security Approach (Wireless Networks)
Par Xiaohong Jiang, Yulong Shen, Yuanyu Zhang. 2023
This book introduces the fundamentals of physical layer security (PLS) and demonstrates how a variety of PLS techniques can be…
applied to improve the security of wireless communication systems. In particular, this book covers three security aspects of wireless communications. It includes secrecy, i.e., preventing eavesdroppers from intercepting information from transmitted wireless signals, covertness, i.e., hiding the transmitted signals themselves from malicious wardens and authentication, i.e., authenticating the identities of communicating entities. When discussing the secrecy of wireless communication systems, this book covers physical layer secure communication in multiple-input multiple-out (MIMO) systems based on beamforming and precoding techniques, in relay systems based on link/relay selection and in large-scale random networks based on cooperative jamming. Regarding the covertness of wireless communication systems, this book introduces physical layer covert communication in relaying systems and MIMO systems. Also, when discussing authentication in wireless communication systems, this book introduces the implementation of physical layer authentication in MIMO systems based on channel features and/or radiometric features of transceivers. In addition, this book presents security-aware routing in wireless networks based on physical layer secure communication techniques.This book targets researchers in the fields of physical layer security and wireless communications security. Advanced-level students in electronic engineering or computer science studying these security topics will also want to purchase this book as a secondary textbook.Applications of Remote Sensing and GIS Based on an Innovative Vision: Proceeding of The First International Conference of Remote Sensing and Space Sciences Applications, Egypt 2022 (Springer Proceedings in Earth and Environmental Sciences)
Par Abdelazim Negm, Abd Alla Gad, Dalia Elfiky, Salwa Elbeih. 2023
This book covers various aspects of remote sensing and geographic information systems, from the perspective of earth and environmental sciences.…
The theme of applications of remote sensing and geographic information systems for the purposes of sustainable development highlights the innovative usage of space imaged spectral data in soil characterization. This book merges the selected contributions to the First International Conference of Remote Sensing and Space Sciences Applications (Egypt 2022) aiming to promote the latest findings on the development of Space Technologies and Applications.Photonic Neural Networks with Spatiotemporal Dynamics: Paradigms of Computing and Implementation
Par Hideyuki Suzuki, Jun Tanida, Masanori Hashimoto. 2024
This open access book presents an overview of recent advances in photonic neural networks with spatiotemporal dynamics. The computing and implementation…
paradigms presented in this book are outcomes of interdisciplinary studies by collaborative researchers from the three fields of nonlinear mathematical science, information photonics, and integrated systems engineering. This book offers novel multidisciplinary viewpoints on photonic neural networks, illustrating recent advances in three types of computing methodologies: fluorescence energy transfer computing, spatial-photonic spin system, and photonic reservoir computing. The book consists of four parts: Part I introduces the backgrounds of optical computing and neural network dynamics; Part II presents fluorescence energy transfer computing, a novel computing technology based on nanoscale networks of fluorescent particles; Parts III and IV review the models and implementation of spatial-photonic spin systems and photonic reservoir computing, respectively. These contents are beneficial to researchers in a broad range of fields, including information science, mathematical science, applied physics, and engineering, to better understand the novel computing concepts of photonic neural networks with spatiotemporal dynamics.