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Provides a concise review of impacts of social media analytics
Reviews associated risks in the form of data leakage, privacy,
transparency, exploitation, and ownership Analysis's tactics and
growing vulnerabilities, exposure and cybercriminal expansion
Reviews manipulation and new evolving technologies in social media
analytics Innovative and emerging models to help develop strategic
understanding.
The year 2020 and the COVID-19 pandemic marked a huge change
globally, both in working and home environments. They posed major
challenges for organisations around the world, which were forced to
use technological tools to help employees work remotely, while in
self-isolation and/or total lockdown. Though the positive outcomes
of using these technologies are clear, doing so also comes with its
fair share of potential issues, including risks regarding data and
its use, such as privacy, transparency, exploitation and ownership.
COVID-19 also led to a certain amount of paranoia, and the
widespread uncertainty and fear of change represented a golden
opportunity for threat actors. This book discusses and explains
innovative technologies such as blockchain and methods to defend
from Advanced Persistent Threats (APTs), some of the key legal and
ethical data challenges to data privacy and security presented by
the COVID-19 pandemic, and their potential consequences. It then
turns to improved decision making in cyber security, also known as
cyber situational awareness, by analysing security events and
comparing data mining techniques, specifically classification
techniques, when applied to cyber security data. In addition, the
book illustrates the importance of cyber security, particularly
information integrity and surveillance, in dealing with an
on-going, infectious crisis. Aspects addressed range from the
spread of misinformation, which can lead people to actively work
against measures designed to ensure public safety and minimise the
spread of the virus, to concerns over the approaches taken to
monitor, track, trace and isolate infectious cases through the use
of technology. In closing, the book considers the legal, social and
ethical cyber and information security implications of the pandemic
and responses to it from the perspectives of confidentiality,
integrity and availability.
The year 2020 and the COVID-19 pandemic marked a huge change
globally, both in working and home environments. They posed major
challenges for organisations around the world, which were forced to
use technological tools to help employees work remotely, while in
self-isolation and/or total lockdown. Though the positive outcomes
of using these technologies are clear, doing so also comes with its
fair share of potential issues, including risks regarding data and
its use, such as privacy, transparency, exploitation and ownership.
COVID-19 also led to a certain amount of paranoia, and the
widespread uncertainty and fear of change represented a golden
opportunity for threat actors. This book discusses and explains
innovative technologies such as blockchain and methods to defend
from Advanced Persistent Threats (APTs), some of the key legal and
ethical data challenges to data privacy and security presented by
the COVID-19 pandemic, and their potential consequences. It then
turns to improved decision making in cyber security, also known as
cyber situational awareness, by analysing security events and
comparing data mining techniques, specifically classification
techniques, when applied to cyber security data. In addition, the
book illustrates the importance of cyber security, particularly
information integrity and surveillance, in dealing with an
on-going, infectious crisis. Aspects addressed range from the
spread of misinformation, which can lead people to actively work
against measures designed to ensure public safety and minimise the
spread of the virus, to concerns over the approaches taken to
monitor, track, trace and isolate infectious cases through the use
of technology. In closing, the book considers the legal, social and
ethical cyber and information security implications of the pandemic
and responses to it from the perspectives of confidentiality,
integrity and availability.
This book aims to explore the aspects of strategic leadership in a
digital context together with the cyber-physical relationships
whilst performing business activities. Furthermore, this
book looks to investigate the interactions from both the
organization strategy including the cross-functional
actors/stakeholders whom are operating within the organization and
the various characteristics of operating in a cyber secure
ecosystem. The book provides a valuable reference for IT directors,
strategic leaders, cybersecurity experts, network security
professionals. It is also aimed at researchers seeking to obtain a
more profound knowledge of machine learning and deep learning in
the context of cybersecurity. Furthermore, the book is an
exceptional advanced text for Ph.D. and master’s degree programs
in cybersecurity, network security and computer science. Each
chapter is written by an internationally renowned expert who has
extensive experience in law enforcement, industry or academia.
Furthermore, this book blends advanced research findings with
practice-based methods to provide the reader with advanced
understanding and relevant skills.
This book aims to explore the aspects of strategic leadership in a
digital context together with the cyber-physical relationships
whilst performing business activities. Furthermore, this book looks
to investigate the interactions from both the organization strategy
including the cross-functional actors/stakeholders whom are
operating within the organization and the various characteristics
of operating in a cyber secure ecosystem. The book provides a
valuable reference for IT directors, strategic leaders,
cybersecurity experts, network security professionals. It is also
aimed at researchers seeking to obtain a more profound knowledge of
machine learning and deep learning in the context of cybersecurity.
Furthermore, the book is an exceptional advanced text for Ph.D. and
master's degree programs in cybersecurity, network security and
computer science. Each chapter is written by an internationally
renowned expert who has extensive experience in law enforcement,
industry or academia. Furthermore, this book blends advanced
research findings with practice-based methods to provide the reader
with advanced understanding and relevant skills.
This book aims to highlight the gaps and the transparency issues in
the clinical research and trials processes and how there is a lack
of information flowing back to researchers and patients involved in
those trials. Lack of data transparency is an underlying theme
within the clinical research world and causes issues of corruption,
fraud, errors and a problem of reproducibility. Blockchain can
prove to be a method to ensure a much more joined up and integrated
approach to data sharing and improving patient outcomes. Surveys
undertaken by creditable organisations in the healthcare industry
are analysed in this book that show strong support for using
blockchain technology regarding strengthening data security,
interoperability and a range of beneficial use cases where mostly
all respondents of the surveys believe blockchain will be important
for the future of the healthcare industry. Another aspect
considered in the book is the coming surge of healthcare wearables
using Internet of Things (IoT) and the prediction that the current
capacity of centralised networks will not cope with the demands of
data storage. The benefits are great for clinical research, but
will add more pressure to the transparency of clinical trials and
how this is managed unless a secure mechanism like, blockchain is
used.
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