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| Author | : |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2023 |
| Genre | : |
| ISBN | : 9781668481462 |
| Author | : Mohammad Zoynul Abedin |
| Publisher | : Taylor & Francis |
| Total Pages | : 235 |
| Release | : 2023-12-11 |
| Genre | : Business & Economics |
| ISBN | : 1003817785 |
To cope with the competitive worldwide marketplace, organizations rely on business intelligence to an increasing extent. Cyber security is an inevitable practice to protect the entire business sector and its customer. This book presents the significance and application of cyber security for safeguarding organizations, individuals’ personal information, and government. The book provides both practical and managerial implications of cyber security that also supports business intelligence and discusses the latest innovations in cyber security. It offers a roadmap to master degree students and PhD researchers for cyber security analysis in order to minimize the cyber security risk and protect customers from cyber-attack. The book also introduces the most advanced and novel machine learning techniques including, but not limited to, Support Vector Machine, Neural Networks, Extreme Learning Machine, Ensemble Learning, and Deep Learning Approaches, with a goal to apply those to cyber risk management datasets. It will also leverage real-world financial instances to practise business product modelling and data analysis. The contents of this book will be useful for a wide audience who are involved in managing network systems, data security, data forecasting, cyber risk modelling, fraudulent credit risk detection, portfolio management, and data regulatory bodies. It will be particularly beneficial to academics as well as practitioners who are looking to protect their IT system, and reduce data breaches and cyber-attack vulnerabilities.
| Author | : Syed Muzamil Basha |
| Publisher | : Springer |
| Total Pages | : 0 |
| Release | : 2024-10-18 |
| Genre | : Computers |
| ISBN | : 9789819757909 |
This book features research papers presented at International Conference on Innovations in Cybersecurity and Data Science (ICICDS 2024), held at Reva University, Bengaluru, India during 15 – 16 March 2024. The book presents original research work in the field of computer science, computer applications, information technology, artificial intelligence, and other relevant fields of IoT, big data, data management and analytics, and security. The book is beneficial for readers from both academia and industry.
| Author | : Murugan, Thangavel |
| Publisher | : IGI Global |
| Total Pages | : 402 |
| Release | : 2024-07-23 |
| Genre | : Medical |
| ISBN | : |
In todays digital age, the healthcare industry is undergoing a paradigm shift towards embracing innovative technologies to enhance patient care, improve efficiency, and ensure data security. With the increasing adoption of electronic health records, telemedicine, and AI-driven diagnostics, robust cybersecurity measures and advanced data management strategies have become paramount. Protecting sensitive patient information from cyber threats is critical and maintaining effective data management practices is essential for ensuring the integrity, accuracy, and availability of vast amounts of healthcare data. Cybersecurity and Data Management Innovations for Revolutionizing Healthcare delves into the intersection of healthcare, data management, cybersecurity, and emerging technologies. It brings together a collection of insightful chapters that explore the transformative potential of these innovations in revolutionizing healthcare practices around the globe. Covering topics such as advanced analytics, data breach detection, and privacy preservation, this book is an essential resource for healthcare professionals, researchers, academicians, healthcare professionals, data scientists, cybersecurity experts, and more.
| Author | : Adams Niall M |
| Publisher | : World Scientific |
| Total Pages | : 304 |
| Release | : 2018-09-25 |
| Genre | : Computers |
| ISBN | : 178634565X |
Cyber-security is a matter of rapidly growing importance in industry and government. This book provides insight into a range of data science techniques for addressing these pressing concerns.The application of statistical and broader data science techniques provides an exciting growth area in the design of cyber defences. Networks of connected devices, such as enterprise computer networks or the wider so-called Internet of Things, are all vulnerable to misuse and attack, and data science methods offer the promise to detect such behaviours from the vast collections of cyber traffic data sources that can be obtained. In many cases, this is achieved through anomaly detection of unusual behaviour against understood statistical models of normality.This volume presents contributed papers from an international conference of the same name held at Imperial College. Experts from the field have provided their latest discoveries and review state of the art technologies.
| Author | : Sergei Petrenko |
| Publisher | : CRC Press |
| Total Pages | : 491 |
| Release | : 2022-09-01 |
| Genre | : Science |
| ISBN | : 1000793508 |
Cyber Security Innovation for the Digital Economy considers possible solutions to the relatively new scientific-technical problem of developing innovative solutions in the field of cyber security for the Digital Economy. The solutions proposed are based on the results of exploratory studies conducted by the author in the areas of Big Data acquisition, cognitive information technologies (cogno-technologies), new methods of analytical verification of digital ecosystems on the basis of similarity invariants and dimensions, and “computational cognitivism,” involving a number of existing models and methods.In practice, this successfully allowed the creation of new entities - the required safe and trusted digital ecosystems - on the basis of the development of digital and cyber security technologies, and the resulting changes in their behavioral preferences. Here, the ecosystem is understood as a certain system of organizations, created around a certain Technological Platform that use its services to make the best offers to customers and access to them to meet the ultimate needs of clients - legal entities and individuals. The basis of such ecosystems is a certain technological platform, created on advanced innovative developments, including the open interfaces and code, machine learning, cloud technologies, Big Data collection and processing, artificial intelligence technologies, etc. The mentioned Technological Platform allows creating the best offer for the client both from own goods and services and from the offers of external service providers in real time.This book contains four chapters devoted to the following subjects:- Relevance of the given scientific-technical problems in the cybersecurity of Digital Economy- Determination of the limiting capabilities- Possible scientific and technical solutions- Organization of perspective research studies in the area of Digital Economy cyber security in Russia.
| Author | : Kevin Daimi |
| Publisher | : Springer Nature |
| Total Pages | : 391 |
| Release | : 2020-11-21 |
| Genre | : Education |
| ISBN | : 3030502449 |
This book focuses on a wide range of innovations related to Cybersecurity Education which include: curriculum development, faculty and professional development, laboratory enhancements, community outreach, and student learning. The book includes topics such as: Network Security, Biometric Security, Data Security, Operating Systems Security, Security Countermeasures, Database Security, Cloud Computing Security, Industrial Control and Embedded Systems Security, Cryptography, and Hardware and Supply Chain Security. The book introduces the concepts, techniques, methods, approaches and trends needed by cybersecurity specialists and educators for keeping current their security knowledge. Further, it provides a glimpse of future directions where cybersecurity techniques, policies, applications, and theories are headed. The book is a rich collection of carefully selected and reviewed manuscripts written by diverse cybersecurity experts in the listed fields and edited by prominent cybersecurity researchers and specialists.
| Author | : Hamid Jahankhani |
| Publisher | : Springer Nature |
| Total Pages | : 329 |
| Release | : |
| Genre | : |
| ISBN | : 3031522729 |
| Author | : Kuan-Ching Li |
| Publisher | : CRC Press |
| Total Pages | : 307 |
| Release | : 2022-05-09 |
| Genre | : Computers |
| ISBN | : 1000553698 |
In this fast-paced global economy, academia and industry must innovate to evolve and succeed. Today’s researchers and industry experts are seeking transformative technologies to meet the challenges of tomorrow. Cutting-edge technological advances in cybersecurity solutions aid in enabling the security of complex heterogeneous high-performance computing (HPC) environments. On the other hand, HPC facilitates powerful and intelligent innovative models for reducing time to response to identify and resolve a multitude of potential, newly emerging cyberattacks. Cybersecurity and High-Performance Computing Environments provides a collection of the current and emergent research innovations, practices, and applications focusing on the interdependence of cybersecurity and HPC domains for discovering and resolving new emerging cyber-threats. KEY FEATURES Represents a substantial research contribution to the state-of-the-art solutions for addressing the threats to confidentiality, integrity, and availability (CIA triad) in HPC environments Covers the groundbreaking and emergent solutions that utilize the power of the HPC environments to study and understand the emergent, multifaceted, anomalous, and malicious characteristics The content will help university students, researchers, and professionals understand how HPC research fits broader cybersecurity objectives and vice versa.
| Author | : Krzysztof Szczypiorski |
| Publisher | : Mdpi AG |
| Total Pages | : 0 |
| Release | : 2023-03-23 |
| Genre | : Technology & Engineering |
| ISBN | : 9783036569062 |
The book focuses on the latest research in cybersecurity and data science. Digital transformation turns data into the new oil, so the increasing availability of big data, structured and unstructured datasets, raises new challenges in cybersecurity, efficient data processing and knowledge extraction. The field of cybersecurity and data science fuels the data-driven economy. Innovations in this field require strong foundations in mathematics, statistics, machine learning and information security. The unprecedented increase in the availability of data in many fields of science and technology (e.g., genomic data, data from industrial environments, network traffic, streaming media, sensory data of smart cities, and social network data) ask for new methods and solutions for data processing, information extraction and decision support. This stimulates the development of new methods of data analysis, including those adapted to the analysis of new data structures and the growing volume of data. The papers included in this book discuss various topics ranging from cyberattacks, steganography, anomaly detection, evaluation of the attacker skills, modelling of the threats, and wireless security evaluation, as well as artificial intelligence, machine learning, and deep learning. Given this diversity of topics the book represents a valuable reference for researchers in cybersecurity security and data science.
