Free Ebook in AI, Robotics, Blockchain, IoT, Big data/Data Science, Cybersecurity, Digital Transformation

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©2020 TechIPm,LLC All RightsReservedhttp://www.techipm.com/
Free Ebook in AI, Blockchain, IoT, Big data/Data Science, Robotics, Cybersecurity, Digital Transformation
I wish following books are useful to you.
Alex G. Lee, principal consultant at TechIPm, LLC (alexglee@techipm.com)
Contents
AI/Robitics
1. Representation Learning for Natural Language Processing(NLP)
2. Automated Machine Learning (AutoML)
3. Artificial Intelligence for Security
4. Artificial Intelligence Business Applications
5. Unsupervised Machine Learning for Knowledge Discovery
6. AI based RobotControl
7. Machine Learning for Robotics
8. Ethics in Robotics and AI
AI+Blockchain
AI & Blockchain for Cognitive Radio Dynamic Spectrum Management

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AI+IoT
Machine Learning for Cyber Physical Systems
Blockchain
1. Blockchain and Crypto Currency
2. Bitcoin and Beyond
IoT
1.Scalable Internet of Things
2.Energy Internet of Things (eIoT)
3. Internet of Things Security
Big data/Data Science
1. Big Data in Context
2. Data Science for Global Health
3. Data Journeys in the Sciences
4. Python Programming

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Cybersecurity/Data Security
1. Cybersecurity for Business
2. Security Infrastructure Technology for Integrated Utilization of Big Data
Digital Transformation
1. Digital Transformation in Semiconductor Manufacturing
2. Digital Twins

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AI/Robitics
1. Representation Learningfor Natural LanguageProcessing
This open access bookprovides an overview of the recent advances in representation learning theory, algorithms
and applications for natural language processing(NLP). It is divided into three parts. Part I presents the
representation learning techniques for multiple language entries, including words, phrases, sentences and
documents. Part II then introduces the representation techniques for those objects that are closely related to NLP,
including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modalentries.
Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining
challenges and future research directions.
The theories and algorithms of representation learning presented can also benefit other related domains such as
machine learning, social network analysis, semantic Web, information retrieval, data mining and computational
biology. This bookis intended for advanced undergraduate and graduate students, post-doctoralfellows,
researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural
language processing.
Link: https://www.amazon.com/Representation-Learning-Natural-Language-Processing-
ebook/dp/B08CT6WSV2/ref=msx_wsirn_v1_5/144-8889141-
7396237?_encoding=UTF8&pd_rd_i=B08CT6WSV2&pd_rd_r=4f453181-7ec2-48ca-955d-

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286b9b5c3fda&pd_rd_w=wcckn&pd_rd_wg=jmx4n&pf_rd_p=77bfbfb0-a9eb-4e71-8d50-
7ac5425f6fa1&pf_rd_r=450RZMEAQWRA8SNPCXD0&psc=1&refRID=450RZMEAQWRA8SNPCXD0
2. Automated MachineLearning:Methods, Systems, Challenges
This open access bookpresents the first comprehensive overview of general methods in Automated Machine
Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series
of international challenges of AutoML systems. The recent success ofcommercial ML applications and the rapid
growth of the field has created a high demand for off-the-shelf ML methods that can be used easily and without
expert knowledge. However, many of the recent machine learning successes crucially rely on human experts, who
manually select appropriate ML architectures (deep learning architectures or more traditional ML workflows) and
their hyperparameters. To overcome this problem, the field of AutoML targets a progressive automation of
machine learning, based on principles from optimization and machine learning itself. This bookserves as a point of
entry into this quickly-developing field for researchers and advanced students alike, as well as providing a
reference for practitioners aiming to use AutoML in their work.
Link: https://www.amazon.com/Automated-Machine-Learning-Challenges-Springer-
ebook/dp/B07S3MLGFW/ref=sr_1_4?dchild=1&keywords=automl&qid=1602861130&s=digital-text&sr=1-4
3. Introduction to Artificial Intelligencefor Security Professionals

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The information security world is rich with information. From reviewing logs to analyzing malware, information is
everywhere and in vast quantities, more than the workforce can cover. Artificial intelligence is a field of study that
is adept at applying intelligence to vast amounts of data and deriving meaningful results. In this book, we will
cover machine learning techniques in practical situations to improve you ability to thrive in a data driven world.
With classification, we’ll cover how to train a model to distinguish between classes of inputs. In probability, we’ll
answer the question “What are the odds?”And make use of the results. With deep learning, we’ll dive into the
powerful biology inspired realms of AI that power some of the most effective methods in machine learning today
Link: https://www.amazon.com/Introduction-Artificial-Intelligence-Security-Professionals-
ebook/dp/B07654CFFQ/ref=bmx_12?_encoding=UTF8&pd_rd_i=B07654CFFQ&pd_rd_r=b534932b-bb2e-4745-
9f1d-691a81a23a1b&pd_rd_w=S8F0n&pd_rd_wg=R62A1&pf_rd_p=04f8298a-a324-416e-a108-
788274fceb3a&pf_rd_r=2K767X3CPVDEHB5NT639&psc=1&refRID=2K767X3CPVDEHB5NT639
4. ArtificialIntelligenceBusinessApplications:ArtificialIntelligence Marketingand SalesApplications
As a business owner, especially a small business owner, we are always looking at ways to improve the efficiency
of our business; outsource, automate and scale. And Artificial Intelligence is the besttool to do use.
Here's a few things you can learn from this book
How current day businesses use Artificial Intelligence to move ahead
4 Ways AI can help elevate your online marketing systems
Use AI to make your customers feel like they are in heaven

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3 Ways to Automate boring tasks with AI
Ensure more efficient business compliance methods with AI
How Artificial Intelligence will Change the Nature of Business in the Future
Artificial Intelligence is becoming an increasingly powerful tooland here is your chance to get ahead of your
competition.
Link: https://www.amazon.com/Artificial-Intelligence-Business-Applications-Marketing-
ebook/dp/B07KSD6HJ1/ref=bmx_71?_encoding=UTF8&pd_rd_i=B07KSD6HJ1&pd_rd_r=b534932b-bb2e-4745-
9f1d-691a81a23a1b&pd_rd_w=S8F0n&pd_rd_wg=R62A1&pf_rd_p=04f8298a-a324-416e-a108-
5. Projection-Based Clustering through Self-Organization andSwarm Intelligence:Combining ClusterAnalysis
withthe Visualization of High-DimensionalData
This open access bookcovers aspects ofunsupervised machine learning used for knowledge discovery in data
science and introduces a data-driven approachto cluster analysis, the Databionic swarm (DBS). DBS consists of
the 3D landscape visualization and clustering of data. The 3D landscape enables 3D printing of high-dimensional
data structures. The clustering and number of clusters or an absenceof cluster structure are verified by the 3D
landscape at a glance. DBS is the first swarm-based technique that shows emergent properties while exploiting
concepts ofswarm intelligence, self-organization and the Nash equilibrium conceptfrom game theory. It results in
the elimination of a global objective function and the setting of parameters. By downloading the R package DBS

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can be applied to data drawn from diverse research fields and used even by non-professionals in the field of data
mining.
Link: https://www.amazon.com/Projection-Based-Clustering-through-Self-Organization-Intelligence-
ebook/dp/B078X5YHG6/ref=msx_wsirn_v1_10?_encoding=UTF8&pd_rd_i=B078X5YHG6&pd_rd_r=c9083bbf-
1be2-487b-81c5-a8e4b579028b&pd_rd_w=Y3iQv&pd_rd_wg=WE6ea&pf_rd_p=77bfbfb0-a9eb-4e71-8d50-
7ac5425f6fa1&pf_rd_r=NH459G2VQH1G17HHXB4M&psc=1&refRID=NH459G2VQH1G17HHXB4M
6. AI based Robot Safe Learningand Control
This open access bookmainly focuses on the safe control of robotmanipulators. The control schemes are mainly
developed based on dynamic neural network, which is an important theoretical branch of deep reinforcement
learning. In order to enhance the safety performance of robotsystems, the controlstrategies include adaptive
tracking controlfor robots with model uncertainties, compliance control in uncertain environments, obstacle
avoidance in dynamic workspace. The idea for this bookon solving safe control of robotarms was conceived
during the industrial applications and the research discussion in the laboratory. Most of the materials in this book
are derived from the authors’ papers published in journals, such as IEEE Transactions on Industrial Electronics,
neurocomputing, etc. This bookcan be used as a reference bookfor researcher and designer of the robotic systems
and AI based controllers, and can also be used as a reference bookfor senior undergraduate and graduate students
in colleges and universities.

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Link: https://www.amazon.com/based-Robot-Safe-Learning-Control-
ebook/dp/B089NB372Y/ref=sr_1_311?crid=2INVE6093OHI6&dchild=1&keywords=open+access+book+free&qi
d=1602867024&s=digital-text&sprefix=open+access+%2Cdigital-text%2C155&sr=1-311
7. Elementsof Robotics
This open access bookbridges the gap between playing with robots in schooland studying robotics at the upper
undergraduate and graduate levels to prepare for careers in industry and research. Robotic algorithms are presented
formally, but using only mathematics known by high-school and first-year college students, such as calculus,
matrices and probability. Concepts and algorithms are explained through detailed diagrams and calculations.
Elements of Robotics presents an overview of different types of robots and the components used to build robots,
but focuses on robotic algorithms: simple algorithms like odometry and feedback control, as well as algorithms for
advanced topics like localization, mapping, image processing, machine learning and swarm robotics. These
algorithms are demonstrated in simplified contexts that enable detailed computations to be performed and feasible
activities to be posed. Students who study these simplified demonstrations will be well prepared for advanced
study of robotics.
The algorithms are presented at a relatively abstract level, not tied to any specific robot. Instead a generic robotis
defined that uses elements common to most educational robots:differential drive with two motors, proximity
sensors and some method of displaying output to the user.

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The theory is supplemented with over 100 activities, most of which can be successfully implemented using
inexpensive educational robots. Activities that require more computation can be programmed on a computer.
Archives are available with suggested implementations for the Thymio robotand standalone programs in Python.
Link: https://www.amazon.com/Elements-Robotics-Mordechai-Ben-Ari-
ebook/dp/B0787V1C5Y/ref=sr_1_97?crid=2INVE6093OHI6&dchild=1&keywords=open+access+book+free&qid
=1602865801&s=digital-text&sprefix=open+access+%2Cdigital-text%2C155&sr=1-97
8. An Introduction to Ethics in Robotics and AI
This open access bookintroduces the reader to the foundations of AI and ethics. It discusses issues of trust,
responsibility, liability, privacy and risk. It focuses on the interaction between people and the AI systems and
Robotics they use. Designed to be accessible for a broad audience, reading this bookdoes not require prerequisite
technical, legal or philosophical expertise. Throughout, the authors use examples to illustrate the issues at hand and
conclude the book with a discussion on the application areas of AI and Robotics, in particular autonomous vehicles,
automatic weapon systems and biased algorithms. A list of questions and further readings is also included for
students willing to explore the topic further.
Link: https://www.amazon.com/Introduction-Ethics-Robotics-AI-SpringerBriefs-
ebook/dp/B08FQPWKBV/ref=sr_1_54?crid=2INVE6093OHI6&dchild=1&keywords=open+access+book+free&q
id=1602865356&s=digital-text&sprefix=open+access+%2Cdigital-text%2C155&sr=1-54

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AI+Blockchain
DynamicSpectrum Management:From CognitiveRadioto Blockchain and ArtificialIntelligence
This open access book, authored by a world-leading researcher in this field, describes fundamentals of dynamic
spectrum management, provides a systematic overview on the enabling technologies covering cognitive radio,
blockchain, and artificial intelligence, and offers valuable guidance for designing advanced wireless
communications systems. This bookis intended for a broad range of readers, including students and professionals
in this field, as well as radio spectrum policy makers.
Link: https://www.amazon.com/Dynamic-Spectrum-Management-Intelligence-Communication-
ebook/dp/B08133HT1C/ref=sr_1_20?dchild=1&keywords=blockchain+telecommunication&qid=1602862555&s=
digital-text&sr=1-20

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AI+IoT
MachineLearning for Cyber Physical Systems
This Open Access proceedings presents new approaches to Machine Learning for Cyber Physical Systems,
experiences and visions. Cyber Physical Systems are characterized by their ability to adapt and to learn: They
analyze their environment and, based on observations, they learn patterns, correlations and predictive models.
Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine
Learning is the key technology for these developments.
Link: https://www.amazon.com/Machine-Learning-Cyber-Physical-Systems-
ebook/dp/B07LGRSJ89/ref=sr_1_131?crid=2INVE6093OHI6&dchild=1&keywords=open+access+book+free&qi

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Blockchain
1. Blockchain and CryptoCurrency: Building a HighQuality Marketplacefor Crypto Data
This open access bookcontributes to the creation of a cyber ecosystemsupported by blockchain technology in
which technology and people can coexist in harmony. Blockchains have shown that trusted records, or ledgers, of
permanent data can be stored on the Internet in a decentralized manner. The decentralization of the recording
process is expected to significantly economize the costof transactions.
Creating a ledger on data, a blockchain makes it possible to designate the owner of each piece of data, to trade data
pieces, and to market them. This bookexamines the formation of markets for various types of data from the theory
of market quality proposed and developed by M. Yano. Blockchains are expected to give data itself the status of a
new productionfactor. Bringing ownership of data to the hands of data producers, blockchains can reduce the
possibility of information leakage, enhance the sharing and use of IoT data, and prevent data monopoly and misuse.
The industry will have a bright future as soonas better technology is developed and when a healthy infrastructure
is created to supportthe blockchain market.
Link: https://www.amazon.com/Blockchain-Crypto-Currency-Marketplace-Institutions-
ebook/dp/B08761M9HH/ref=sr_1_251?crid=2INVE6093OHI6&dchild=1&keywords=open+access+book+free&qi
2. Bitcoin and Beyond: Cryptocurrencies, Blockchains, and Global Governance

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This volume brings scholars of anthropology, economics, Science and Technology Studies, and sociology together
with GPE scholars in assessing the actual implications posed byBitcoin and blockchains for contemporary global
governance. Its interdisciplinary contributions provide academics, policymakers, industry practitioners and the
general public with more nuanced understandings of technological change in the changing character of governance
within and across the borders of nation-states.
Link: https://www.amazon.com/Bitcoin-Beyond-Cryptocurrencies-Blockchains-Governance-
ebook/dp/B077SN2W2Y/ref=msx_wsirn_v1_33?_encoding=UTF8&pd_rd_i=B077SN2W2Y&pd_rd_r=6251af9d-
6394-490e-aeac-d006273fed7f&pd_rd_w=s6Xvm&pd_rd_wg=wtjE5&pf_rd_p=77bfbfb0-a9eb-4e71-8d50-
7ac5425f6fa1&pf_rd_r=53T63C4G1MK7WCEV4JZA&psc=1&refRID=53T63C4G1MK7WCEV4JZA

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IoT
1. Rethinking the Internet of Things:A ScalableApproachto Connecting Everything
Over the next decade, most devices connected to the Internet will not be used by people in the familiar way that
personal computers, tablets and smart phones are. Billions of interconnected devices will be monitoring the
environment, transportation systems, factories, farms, forests, utilities, soil and weather conditions, oceans and
resources.
Many of these sensors and actuators will be networked into autonomous sets, with much of the information being
exchanged machine-to-machine directly and without human involvement. Machine-to-machine communications
are typically terse. Most sensors and actuators will report or act upon small pieces of information - "chirps".
Burdening these devices with current network protocolstacks is inefficient, unnecessary and unduly increases their
costof ownership.
This must change. The architecture of the Internet of Things must evolve now by incorporating simpler protocols
toward at the edges of the network, or remain forever inefficient. Rethinking the Internet of Things describes
reasons why we must rethink current approaches to the Internet of Things. Appropriate architectures that will
coexist with existing networking protocols are described in detail. An architecture comprised of integrator
functions, propagatornodes, and end devices, along with their interactions, is explored.
Link: https://www.amazon.com/Rethinking-Internet-Things-Connecting-Everything-
ebook/dp/B00I0R6Q7Q/ref=msx_wsirn_v1_15?_encoding=UTF8&pd_rd_i=B00I0R6Q7Q&pd_rd_r=3f104c3f-

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2f41-456e-89d1-ae2b17d67ec9&pd_rd_w=UtQsY&pd_rd_wg=cTL1r&pf_rd_p=77bfbfb0-a9eb-4e71-8d50-
7ac5425f6fa1&pf_rd_r=X9RPKG5XJHDEAN14M30C&psc=1&refRID=X9RPKG5XJHDEAN14M30C
2. eIoT: The Developmentof the EnergyInternet of Things in EnergyInfrastructure
This open access bookexplores the collision between the sustainable energy transition and the Internet of Things
(IoT). In that regard, this book’s arrival is timely. Not only is the Internet of Things for energy applications, herein
called the energy Internet of Things (eIoT), rapidly developing but also the transition towards sustainable energy to
abate global climate is very much at the forefront of public discourse. It is within the context of these two dynamic
thrusts, digitization and global climate change, that the energy industry sees itself undergoing significant change in
how it is operated and managed. This bookrecognizes that they impose five fundamental energy management
change drivers: 1.) the growing demand for electricity, 2.) the emergence of renewable energy resources, 3.) the
emergence of electrified transportation, 4.) the deregulation of electric power markets, 5.) and innovations in smart
grid technology. Together, they challenge many of the assumptions upon which the electric grid was first built.
The goal of this bookis to provide a single integrated picture of how eIoT can come to transform our energy
infrastructure. This booklinks the energy management change drivers mentioned above to the need for a technical
energy management solution. It, then, describes how eIoT meets many of the criteria required for such a technical
solution. In that regard, the bookstresses the ability of eIoT to add sensing, decision-making, and actuation
capabilities to millions or perhaps even billions of interacting “smart' devices. With such a large scale
transformation composedofso many independent actions, the bookalso organizes the discussioninto a single

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multi-layer energy management control loop structure. Consequently, much attention is given to not just network-
enabled physical devices but also communication networks, distributed control& decision making, and finally
technical architectures and standards. Having gone into the detail of these many simultaneously developing
technologies, the bookreturns to how these technologies when integrated form new applications for transactive
energy. In that regard, it highlights several eIoT-enabled energy management use cases that fundamentally change
the relationship between end users, utilities, and grid operators. Consequently, the bookdiscusses someof the
emerging applications for utilities, industry, commerce, and residences. The bookconcludes that these eIoT
applications will transform today’s grid into one that is much more responsive, dynamic, adaptive and flexible. It
also concludes that this transformation will bring about new challenges and opportunities for the cyber-physical-
economic performance of the grid and the business models of its increasingly growing number of participants and
stakeholders.
Link: https://www.amazon.com/eIoT-Development-Energy-Internet-Infrastructure-
ebook/dp/B07P2DMB7X/ref=sr_1_46?crid=2INVE6093OHI6&dchild=1&keywords=open+access+book+free&qi
3. Demystifying Internet of ThingsSecurity: Successful IoT Device/Edgeand Platform SecurityDeployment
Demystifying Internet of Things Security provides clarity to industry professionals and provides and overview of
different security solutions
What You'll Learn

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Secure devices, immunizing them against different threats originating from inside and outside the networkGather
an overview of the different security building blocks available in Intel Architecture (IA) based IoT
platformsUnderstand the threat pyramid, secure boot, chain of trust, and the software stack leading up to defense-
in-depth
Link: https://www.amazon.com/Demystifying-Internet-Things-Security-Successful-
ebook/dp/B07WHNMVL2/ref=sr_1_197?crid=2INVE6093OHI6&dchild=1&keywords=open+access+book+free&
qid=1602866617&s=digital-text&sprefix=open+access+%2Cdigital-text%2C155&sr=1-197

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Big data/Data Science
1. Big Data in Context: Legal, Socialand Technological Insights
This booksheds new light on a selection of big data scenarios from an interdisciplinary perspective. It features
legal, sociological and economic approaches to fundamental big data topics such as privacy, data quality and the
ECJ’s Safe Harbor decision on the one hand, and practical applications such as smart cars, wearables and web
tracking on the other. Addressing the interests of researchers and practitioners alike, it provides a comprehensive
overview of and introduction to the emerging challenges regarding big data.All contributions are based on papers
submitted in connection with ABIDA (Assessing Big Data), an interdisciplinary research project exploring the
societal aspects of big data and funded by the German Federal Ministry of Education and Research.This volume
was produced as a part of the ABIDA project (Assessing Big Data, 01IS15016A-F). ABIDA is a four-year
collaborative project funded by the Federal Ministry of Education and Research. However the views and opinions
expressed in this bookreflect only the authors’ point of view and not necessarily those of all members of the
ABIDA project or the Federal Ministry of Education and Research.
Link: https://www.amazon.com/Big-Data-Context-Technological-SpringerBriefs-
ebook/dp/B0787VG3G8/ref=msx_wsirn_v1_24?_encoding=UTF8&pd_rd_i=B0787VG3G8&pd_rd_r=290afa56-
7f19-4966-82d0-d0b5b31fbc6f&pd_rd_w=FYkSZ&pd_rd_wg=8A4p1&pf_rd_p=77bfbfb0-a9eb-4e71-8d50-
7ac5425f6fa1&pf_rd_r=30HF560Z67J597H9PY7N&psc=1&refRID=30HF560Z67J597H9PY7N

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2. Leveraging Data Science for Global Health
This open access bookexplores ways to leverage information technology and machine learning to combat disease
and promote health, especially in resource-constrained settings. It focuses on digital disease surveillance through
the application of machine learning to non-traditional data sources. Developing countries are uniquely prone to
large-scale emerging infectious disease outbreaks due to disruption of ecosystems, civil unrest, and poorhealthcare
infrastructure – and without comprehensive surveillance, delays in outbreak identification, resource deployment,
and casemanagement can be catastrophic. In combination with context-informed analytics, students will learn how
non-traditional digital disease data sources – including news media, social media, Google Trends, and Google
Street View – can fill critical knowledge gaps and help inform on-the-ground decision-making when formal
surveillance systems are insufficient.
Link: https://www.amazon.com/Leveraging-Data-Science-Global-Health-
ebook/dp/B08F3QBRMX/ref=sr_1_71?crid=2INVE6093OHI6&dchild=1&keywords=open+access+book+free&qi
3. Data Journeys in the Sciences
This groundbreaking, open access volume analyses and compares data practices across several fields through the
analysis of specific cases of data journeys. It brings together leading scholars in the philosophy, history and social
studies of science to achieve two goals: tracking the travel of data across different spaces, times and domains of
research practice; and documenting how such journeys affect the use of data as evidence and the knowledge being

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produced. The volume captures the opportunities, challenges and concerns involved in making data move from the
sites in which they are originally produced to sites where they can be integrated with other data, analysed and re-
used for a variety of purposes. Thein-depth study of data journeys provides the necessary ground to examine
disciplinary, geographical and historical differences and similarities in data management, processingand
interpretation, thus identifying the key conditions of possibility for the widespread data sharing associated with Big
and Open Data.
The chapters are ordered in sections that broadly correspond to different stages of the journeys of data, from their
generation to the legitimisation of their use for specific purposes. Additionally, the preface to the volume provides
a variety of alternative “roadmaps”aimed to serve the different interests and entry points of readers; and the
introduction provides a substantive overview of what data journeys can teach about the methods and epistemology
of research.
Link: https://www.amazon.com/Data-Journeys-Sciences-Sabina-Leonelli-
ebook/dp/B08CDFMDLJ/ref=sr_1_102?crid=2INVE6093OHI6&dchild=1&keywords=open+access+book+free&q
4. Python Programming: Your Beginner Guide To Learn Python in 7 Days
Link: https://www.amazon.com/Python-Programming-Beginner-learning-programming-
ebook/dp/B07BCY1WHZ/ref=bmx_61?_encoding=UTF8&pd_rd_i=B07BCY1WHZ&pd_rd_r=b534932b-bb2e-

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4745-9f1d-691a81a23a1b&pd_rd_w=S8F0n&pd_rd_wg=R62A1&pf_rd_p=04f8298a-a324-416e-a108-

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Cybersecurity/Data Security
1. RationalCybersecurityfor Business:The Security Leaders' Guideto Business Alignment
Use the guidance in this comprehensive field guide to gain the supportof your top executives for aligning a
rational cybersecurity plan with your business. You will learn how to improve working relationships with
stakeholders in complex digital businesses, IT, and development environments. You will know how to prioritize
your security program, and motivate and retain your team.
Misalignment between security and your business can start at the top at the C-suite or happen at the line of business,
IT, development, or user level. It has a corrosive effect on any security project it touches. But it does not have to be
like this. Author Dan Blum presents valuable lessons learned from interviews with over 70 security and business
leaders. You will discover how to successfully solve issues related to: risk management, operational security,
privacy protection, hybrid cloud management, security culture and user awareness, and communication challenges.
This open access bookpresents six priority areas to focus on to maximize the effectiveness of your cybersecurity
program: risk management, controlbaseline, security culture, IT rationalization, access control, and cyber-
resilience. Common challenges and good practices are provided for businesses of different types and sizes. And
more than 50 specific keys to alignment are included.
What You Will Learn Improve your security culture: clarify security-related roles, communicate effectively to
businesspeople, and hire, motivate, or retain outstanding security staff by creating a sense of efficacy

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Develop a consistent accountability model, information risk taxonomy, and risk management framework Adopta
security and risk governance model consistent with your business structure or culture, manage policy, and optimize
security budgeting within the larger business unit and CIO organization IT spend Tailor a controlbaseline to your
organization’s maturity level, regulatory requirements, scale, circumstances, and critical assets Help CIOs, Chief
Digital Officers, and other executives to develop an IT strategy for curating cloud solutions and reducing shadow
IT, building up DevSecOps and Disciplined Agile, and moreBalance access controland accountability approaches,
leverage modern digital identity standards to improve digital relationships, and provide data governance and
privacy-enhancing capabilities
Plan for cyber-resilience: work with the SOC, IT, business groups, and external sources to coordinate incident
responseand to recover from outages and come back stronger Integrate your learnings from this bookinto a quick-
hitting rational cybersecurity success plan
Who This Book Is For Chief Information Security Officers (CISOs)and other heads of security, security directors
and managers, security architects and project leads, and other team members providing security leadership to your
business
Link: https://www.amazon.com/Rational-Cybersecurity-Business-Security-Alignment-
ebook/dp/B08FSXMVR7/ref=sr_1_265?crid=2INVE6093OHI6&dchild=1&keywords=open+access+book+free&q

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2. Security Infrastructure Technology for Integrated Utilizationof Big Data: Appliedto the LivingSafetyand
Medical Fields
This open access bookdescribes the technologies needed to constructa secure big data infrastructure that connects
data owners, analytical institutions, and user institutions in a circle of trust. It begins by discussing the most
relevant technical issues involved in creating safe and privacy-preserving big data distribution platforms, and
especially focuses on cryptographic primitives and privacy-preserving techniques, which are essential prerequisites.
The bookalso covers elliptic curve cryptosystems, which offer compactpublic key cryptosystems;and LWE-based
cryptosystems, which are a type of post-quantum cryptosystem. Since big data distribution platforms require
appropriate data handling, the bookalso describes a privacy-preserving data integration protocoland privacy-
preserving classification protocolfor secure computation. Furthermore, it introduces an anonymization technique
and privacy risk evaluation technique.This bookalso describes the latest related findings in both the living safety
and medical fields. In the living safety field, to prevent injuries occurring in everyday life, it is necessary to analyze
injury data, find problems, and implement suitable measures. But most cases don’tinclude enough information for
injury prevention because the necessary data is spread across multiple organizations, and data integration is
difficult from a security standpoint. This bookintroduces a system for solving this problem by applying a method
for integrating distributed data securely and introduces applications concerning childhood injury at home and
schoolinjury. In the medical field, privacy protection and patient consentmanagement are crucial for all research.
The bookdescribes a medical test bed for the secure collection and analysis of electronic medical records

26
distributed among various medical institutions. The system promotes big-data analysis of medical data with a cloud
infrastructure and includes various security measures developed in our project to avoid privacy violations.
Link: https://www.amazon.com/Security-Infrastructure-Technology-Integrated-Utilization-
ebook/dp/B087R6VCWN/ref=sr_1_138?crid=2INVE6093OHI6&dchild=1&keywords=open+access+book+free&

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Digital Transformation
1. Digital Transformation in SemiconductorManufacturing
This open access bookreports on cutting-edge electrical engineering and microelectronics solutions to foster and
supportdigitalization in the semiconductorindustry. Based on the outcomes of the European project iDev40, which
were presented at the two first conference editions of the European Advances in Digital Transformation
Conference (EADCT 2018 and EADTC 2019), the bookcovers different, multidisciplinary aspects related to
digital transformation, including technological and industrial developments, as well as human factors research and
applications. Topics include modeling and simulation methods in semiconductor operations, supply chain
management issues, employee training methods and workplaces optimization, as well as smart software and
hardware solutions for semiconductormanufacturing. By highlighting industrially relevant developments and
discussing open issues related to digital transformation, the bookoffers a timely, practice-oriented guide to
graduate students, researchers and professionals interested in the digital transformation of manufacturing domains
and work environments.
Link: https://www.amazon.com/Digital-Transformation-Semiconductor-Manufacturing-Proceedings-
ebook/dp/B0899R4T5C/ref=sr_1_425?crid=2INVE6093OHI6&dchild=1&keywords=open+access+book+free&qi

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2. Twin-Control:A DigitalTwin Approachto ImproveMachineTools Lifecycle
This open access booksummarizes the results of the European research project “Twin-model based virtual
manufacturing for machine tool-process simulation and control” (Twin-Control). The first part reviews the
applications of ICTs in machine tools and manufacturing, from a scientific and industrial point of view, and
introduces the Twin-Control approach, while Part 2 discusses the development of a digital twin of machine tools.
The third part addresses the monitoring and data management infrastructure of machines and manufacturing
processes and numerous applications of energy monitoring. Part 4 then highlights various features developed in the
project by combining the developments covered in Parts 3 and 4 to control the manufacturing processes applying
the so-called CPSs. Lastly, Part 5 presents a complete validation of Twin-Control features in two key industrial
sectors:aerospaceand automotive. The bookoffers a representative overview of the latest trends in the
manufacturing industry, with a focus on machine tools.
Link: https://www.amazon.com/Twin-Control-Digital-Approach-Improve-Lifecycle-
ebook/dp/B07MPPSPVM/ref=sr_1_505?crid=2INVE6093OHI6&dchild=1&keywords=open+access+book+free&

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