Meeting Security Challenges Through Data Analytics And Decision Support
DOWNLOAD
Download Meeting Security Challenges Through Data Analytics And Decision Support PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Meeting Security Challenges Through Data Analytics And Decision Support book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Meeting Security Challenges Through Data Analytics And Decision Support
DOWNLOAD
Author : E. Shahbazian
language : en
Publisher: IOS Press
Release Date : 2016-11-24
Meeting Security Challenges Through Data Analytics And Decision Support written by E. Shahbazian and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-24 with Computers categories.
The sheer quantity of widely diverse data which now results from multiple sources presents a problem for decision-makers and analysts, who are finding it impossible to cope with the ever-increasing flow of material. This has potentially serious consequences for the quality of decisions and operational processes in areas such as counterterrorism and security. This book presents the papers delivered at the NATO Advanced Research Workshop (ARW) 'Meeting Security Challenges through Data Analytics and Decision Support’, held in Aghveran, Armenia, in June 2015. The aim of the conference was to promote and enhance cooperation and dialogue between NATO and Partner countries on the subject of effective decision support for security applications. The attendance of many leading scientists from a variety of backgrounds and disciplines provided the opportunity to improve mutual understanding, as well as cognizance of the specific requirements and issues of Cyber Physical Social Systems (CPPS) and the technical advances pertinent to all collaborative human-centric information support systems in a variety of applications. The book is divided into 3 sections: counter terrorism: methodology and applications; maritime and border security; and cyber security, and will be of interest to all those involved in decision-making processes based on the analysis of big data.
Data Analytics And Decision Support For Cybersecurity
DOWNLOAD
Author : Iván Palomares Carrascosa
language : en
Publisher: Springer
Release Date : 2017-08-01
Data Analytics And Decision Support For Cybersecurity written by Iván Palomares Carrascosa and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-01 with Computers categories.
The book illustrates the inter-relationship between several data management, analytics and decision support techniques and methods commonly adopted in Cybersecurity-oriented frameworks. The recent advent of Big Data paradigms and the use of data science methods, has resulted in a higher demand for effective data-driven models that support decision-making at a strategic level. This motivates the need for defining novel data analytics and decision support approaches in a myriad of real-life scenarios and problems, with Cybersecurity-related domains being no exception. This contributed volume comprises nine chapters, written by leading international researchers, covering a compilation of recent advances in Cybersecurity-related applications of data analytics and decision support approaches. In addition to theoretical studies and overviews of existing relevant literature, this book comprises a selection of application-oriented research contributions. The investigations undertaken across these chapters focus on diverse and critical Cybersecurity problems, such as Intrusion Detection, Insider Threats, Insider Threats, Collusion Detection, Run-Time Malware Detection, Intrusion Detection, E-Learning, Online Examinations, Cybersecurity noisy data removal, Secure Smart Power Systems, Security Visualization and Monitoring. Researchers and professionals alike will find the chapters an essential read for further research on the topic.
Combating Security Challenges In The Age Of Big Data
DOWNLOAD
Author : Zubair Md. Fadlullah
language : en
Publisher: Springer Nature
Release Date : 2020-05-26
Combating Security Challenges In The Age Of Big Data written by Zubair Md. Fadlullah and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-26 with Computers categories.
This book addresses the key security challenges in the big data centric computing and network systems, and discusses how to tackle them using a mix of conventional and state-of-the-art techniques. The incentive for joining big data and advanced analytics is no longer in doubt for businesses and ordinary users alike. Technology giants like Google, Microsoft, Amazon, Facebook, Apple, and companies like Uber, Airbnb, NVIDIA, Expedia, and so forth are continuing to explore new ways to collect and analyze big data to provide their customers with interactive services and new experiences. With any discussion of big data, security is not, however, far behind. Large scale data breaches and privacy leaks at governmental and financial institutions, social platforms, power grids, and so forth, are on the rise that cost billions of dollars. The book explains how the security needs and implementations are inherently different at different stages of the big data centric system, namely at the point of big data sensing and collection, delivery over existing networks, and analytics at the data centers. Thus, the book sheds light on how conventional security provisioning techniques like authentication and encryption need to scale well with all the stages of the big data centric system to effectively combat security threats and vulnerabilities. The book also uncovers the state-of-the-art technologies like deep learning and blockchain which can dramatically change the security landscape in the big data era.
Proceedings Of 2nd International Conference On Smart Computing And Cyber Security
DOWNLOAD
Author : Prasant Kumar Pattnaik
language : en
Publisher: Springer Nature
Release Date : 2022-05-26
Proceedings Of 2nd International Conference On Smart Computing And Cyber Security written by Prasant Kumar Pattnaik and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-26 with Technology & Engineering categories.
This book presents high-quality research papers presented at the Second International Conference on Smart Computing and Cyber Security: Strategic Foresight, Security Challenges and Innovation (SMARTCYBER 2021) held during June 16–17, 2021, in the Department of Smart Computing, Kyungdong University, Global Campus, South Korea. The book includes selected works from academics and industrial experts in the field of computer science, information technology, and electronics and telecommunication. The content addresses challenges of cyber security.
Decision Making And Security Risk Management For Iot Environments
DOWNLOAD
Author : Wadii Boulila
language : en
Publisher: Springer Nature
Release Date :
Decision Making And Security Risk Management For Iot Environments written by Wadii Boulila and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Combating Security Challenges In The Age Of Big Data
DOWNLOAD
Author : Zubair Md Fadlullah
language : en
Publisher:
Release Date : 2020
Combating Security Challenges In The Age Of Big Data written by Zubair Md Fadlullah and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Artificial intelligence categories.
This book addresses the key security challenges in the big data centric computing and network systems, and discusses how to tackle them using a mix of conventional and state-of-the-art techniques. The incentive for joining big data and advanced analytics is no longer in doubt for businesses and ordinary users alike. Technology giants like Google, Microsoft, Amazon, Facebook, Apple, and companies like Uber, Airbnb, NVIDIA, Expedia, and so forth are continuing to explore new ways to collect and analyze big data to provide their customers with interactive services and new experiences. With any discussion of big data, security is not, however, far behind. Large scale data breaches and privacy leaks at governmental and financial institutions, social platforms, power grids, and so forth, are on the rise that cost billions of dollars. The book explains how the security needs and implementations are inherently different at different stages of the big data centric system, namely at the point of big data sensing and collection, delivery over existing networks, and analytics at the data centers. Thus, the book sheds light on how conventional security provisioning techniques like authentication and encryption need to scale well with all the stages of the big data centric system to effectively combat security threats and vulnerabilities. The book also uncovers the state of the art technologies like deep learning and blockchain which can dramatically change the security landscape in the big data era. .
Strategy Leadership And Ai In The Cyber Ecosystem
DOWNLOAD
Author : Hamid Jahankhani
language : en
Publisher: Academic Press
Release Date : 2020-11-10
Strategy Leadership And Ai In The Cyber Ecosystem written by Hamid Jahankhani and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-10 with Computers categories.
Strategy, Leadership and AI in the Cyber Ecosystem investigates the restructuring of the way cybersecurity and business leaders engage with the emerging digital revolution towards the development of strategic management, with the aid of AI, and in the context of growing cyber-physical interactions (human/machine co-working relationships). The book explores all aspects of strategic leadership within a digital context. It investigates the interactions from both the firm/organization strategy perspective, including cross-functional actors/stakeholders who are operating within the organization and the various characteristics of operating in a cyber-secure ecosystem. As consumption and reliance by business on the use of vast amounts of data in operations increase, demand for more data governance to minimize the issues of bias, trust, privacy and security may be necessary. The role of management is changing dramatically, with the challenges of Industry 4.0 and the digital revolution. With this intelligence explosion, the influence of artificial intelligence technology and the key themes of machine learning, big data, and digital twin are evolving and creating the need for cyber-physical management professionals. Discusses the foundations of digital societies in information governance and decision-making Explores the role of digital business strategies to deal with big data management, governance and digital footprints Considers advances and challenges in ethical management with data privacy and transparency Investigates the cyber-physical project management professional [Digital Twin] and the role of Holographic technology in corporate decision-making
Intelligent Techniques For Predictive Data Analytics
DOWNLOAD
Author : Neha Singh
language : en
Publisher: John Wiley & Sons
Release Date : 2024-07-30
Intelligent Techniques For Predictive Data Analytics written by Neha Singh and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-30 with Computers categories.
Comprehensive resource covering tools and techniques used for predictive analytics with practical applications across various industries Intelligent Techniques for Predictive Data Analytics provides an in-depth introduction of the tools and techniques used for predictive analytics, covering applications in cyber security, network security, data mining, and machine learning across various industries. Each chapter offers a brief introduction on the subject to make the text accessible regardless of background knowledge. Readers will gain a clear understanding of how to use data processing, classification, and analysis to support strategic decisions, such as optimizing marketing strategies and customer relationship management and recommendation systems, improving general business operations, and predicting occurrence of chronic diseases for better patient management. Traditional data analytics uses dashboards to illustrate trends and outliers, but with large data sets, this process is labor-intensive and time-consuming. This book provides everything readers need to save time by performing deep, efficient analysis without human bias and time constraints. A section on current challenges in the field is also included. Intelligent Techniques for Predictive Data Analytics covers sample topics such as: Models to choose from in predictive modeling, including classification, clustering, forecast, outlier, and time series models Price forecasting, quality optimization, and insect and disease plant and monitoring in agriculture Fraud detection and prevention, credit scoring, financial planning, and customer analytics Big data in smart grids, smart grid analytics, and predictive smart grid quality monitoring, maintenance, and load forecasting Management of uncertainty in predictive data analytics and probable future developments in the field Intelligent Techniques for Predictive Data Analytics is an essential resource on the subject for professionals and researchers working in data science or data management seeking to understand the different models of predictive analytics, along with graduate students studying data science courses and professionals and academics new to the field.
Assessing Department Of Defense Use Of Data Analytics And Enabling Data Management To Improve Acquisition Outcomes
DOWNLOAD
Author : Philip S. Anton
language : en
Publisher:
Release Date : 2021-10-15
Assessing Department Of Defense Use Of Data Analytics And Enabling Data Management To Improve Acquisition Outcomes written by Philip S. Anton and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-15 with Computers categories.
Congress asked about acquisition data analytics in the Department of Defense. This report identifies and measures capabilities and recent progress. Barriers to improvement include a culture against data sharing due to security and burden concerns.
Decision Support Systems And Industrial Iot In Smart Grid Factories And Cities
DOWNLOAD
Author : Butun, Ismail
language : en
Publisher: IGI Global
Release Date : 2021-06-25
Decision Support Systems And Industrial Iot In Smart Grid Factories And Cities written by Butun, Ismail and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-25 with Computers categories.
Internet of things (IoT) is an emerging research field that is rapidly becoming an important part of our everyday lives including home automation, smart buildings, smart things, and more. This is due to cheap, efficient, and wirelessly-enabled circuit boards that are enabling the functions of remote sensing/actuating, decentralization, autonomy, and other essential functions. Moreover, with the advancements in embedded artificial intelligence, these devices are becoming more self-aware and autonomous, hence making decisions themselves. Current research is devoted to the understanding of how decision support systems are integrated into industrial IoT. Decision Support Systems and Industrial IoT in Smart Grid, Factories, and Cities presents the internet of things and its place during the technological revolution, which is taking place now to bring us a better, sustainable, automated, and safer world. This book also covers the challenges being faced such as relations and implications of IoT with existing communication and networking technologies; applications like practical use-case scenarios from the real world including smart cities, buildings, and grids; and topics such as cyber security, user privacy, data ownership, and information handling related to IoT networks. Additionally, this book focuses on the future applications, trends, and potential benefits of this new discipline. This book is essential for electrical engineers, computer engineers, researchers in IoT, security, and smart cities, along with practitioners, researchers, academicians, and students interested in all aspects of industrial IoT and its applications.