Pathology of Learning in Cyber Space, Sayed Hadi Sadeghi
Автор: Saqib Ali; Taiseera Al Balushi; Zia Nadir; Omar Kh Название: Cyber Security for Cyber Physical Systems ISBN: 3319758799 ISBN-13(EAN): 9783319758794 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is a pioneering yet primary general reference resource on cyber physical systems and their security concerns. Providing a fundamental theoretical background, and a clear and comprehensive overview of security issues in the domain of cyber physical systems, it is useful for students in the fields of information technology, computer science, or computer engineering where this topic is a substantial emerging area of study.
Автор: Sadeghi Название: Pathology of Learning in Cyber Space ISBN: 3319914480 ISBN-13(EAN): 9783319914480 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is divided into seven chapters, beginning with discussions of the main concepts of cyberspace, the relationship between cyberspace and real space, learning and education.
Автор: Danail Stoyanov; Zeike Taylor; Francesco Ciompi; Y Название: Computational Pathology and Ophthalmic Medical Image Analysis ISBN: 3030009483 ISBN-13(EAN): 9783030009489 Издательство: Springer Рейтинг: Цена: 9222.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed joint proceedings of the First International Workshop on Computational Pathology, COMPAY 2018, and the 5th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018.The 19 full papers (out of 25 submissions) presented at COMPAY 2018 and the 21 full papers (out of 31 submissions) presented at OMIA 2018 were carefully reviewed and selected. The COMPAY papers focus on artificial intelligence and deep learning. The OMIA papers cover various topics in the field of ophthalmic image analysis.
Автор: Constantino Carlos Reyes-Aldasoro; Andrew Janowczy Название: Digital Pathology ISBN: 3030239365 ISBN-13(EAN): 9783030239367 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 15th European Congress on Digital Pathology, ECDP 2019, held in Warwick, UK in April 2019. The 21 full papers presented in this volume were carefully reviewed and selected from 30 submissions. The congress theme will be Accelerating Clinical Deployment, with a focus on computational pathology and leveraging the power of big data and artificial intelligence to bridge the gaps between research, development, and clinical uptake.
Описание: The main challenges are finding biobanks containing ``fit-for-purpose`` samples, providing quality related meta-data, gaining access to standardized medical data and annotations, and mass scanning of whole slides including efficient data management solutions.
Описание: This book constitutes the First Myocardial Pathology Segmentation Combining Multi-Sequence CMR Challenge, MyoPS 2020, which was held in conjunction with the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020.
Описание: This book presents a mobile technology capacity building framework that offers academics, students, and practitioners involved in workplace education a deeper understanding of, and practical guidance on, how mobile technology can enhance professional learning.
Автор: Jajodia Sushil, Cybenko George, Subrahmanian V. S. Название: Adaptive Autonomous Secure Cyber Systems ISBN: 3030334317 ISBN-13(EAN): 9783030334314 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 1. Reference Architecture of an Autonomous Agent for Cyber Defense of Complex Military Systems.- 2. Defending against Machine Learning based Inference Attacks via Adversarial Examples: Opportunities and Challenges.- 3. Exploring Adversarial Artificial Intelligence for Autonomous Adaptive Cyber Defense.- 4. Can Cyber Operations be Made Autonomous? An Answer from the Situational Awareness Viewpoint.- 5. A framework for studying autonomic computing models in cyber deception.- 6. Autonomous Security Mechanisms for High-Performance Computing Systems: Review and Analysis.- 7. Automated Cyber Risk Mitigation: Making Informed Cost-effective Decisions.- 8. Plan Interdiction Games.- 9. Game Theoretic Cyber Deception to Foil Adversarial Network Reconnaissance.- 10. Strategic Learning for Active, Adaptive, and Autonomous Cyber Defense.- 11. Online Learning Methods for Controlling Dynamic Cyber Deception Strategies.- 12. Phishing URL Detection with Lexical Features and Blacklisted Domains.- 13. An Empirical Study of Secret Security Patch in Open Source Software.
Автор: Ali Dehghantanha; Mauro Conti; Tooska Dargahi Название: Cyber Threat Intelligence ISBN: 303008891X ISBN-13(EAN): 9783030088910 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides readers with up-to-date research of emerging cyber threats and defensive mechanisms, which are timely and essential. It covers cyber threat intelligence concepts against a range of threat actors and threat tools (i.e. ransomware) in cutting-edge technologies, i.e., Internet of Things (IoT), Cloud computing and mobile devices. This book also provides the technical information on cyber-threat detection methods required for the researcher and digital forensics experts, in order to build intelligent automated systems to fight against advanced cybercrimes.The ever increasing number of cyber-attacks requires the cyber security and forensic specialists to detect, analyze and defend against the cyber threats in almost real-time, and with such a large number of attacks is not possible without deeply perusing the attack features and taking corresponding intelligent defensive actions – this in essence defines cyber threat intelligence notion. However, such intelligence would not be possible without the aid of artificial intelligence, machine learning and advanced data mining techniques to collect, analyze, and interpret cyber-attack campaigns which is covered in this book. This book will focus on cutting-edge research from both academia and industry, with a particular emphasis on providing wider knowledge of the field, novelty of approaches, combination of tools and so forth to perceive reason, learn and act on a wide range of data collected from different cyber security and forensics solutions. This book introduces the notion of cyber threat intelligence and analytics and presents different attempts in utilizing machine learning and data mining techniques to create threat feeds for a range of consumers. Moreover, this book sheds light on existing and emerging trends in the field which could pave the way for future works. The inter-disciplinary nature of this book, makes it suitable for a wide range of audiences with backgrounds in artificial intelligence, cyber security, forensics, big data and data mining, distributed systems and computer networks. This would include industry professionals, advanced-level students and researchers that work within these related fields.
Автор: Feng Liu; Shouhuai Xu; Moti Yung Название: Science of Cyber Security ISBN: 3030030253 ISBN-13(EAN): 9783030030254 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the proceedings of the First International Conference on Science of Cyber Security, SciSec 2018, held in Beijing, China, in August 2018.The 11 full papers and 6 short papers presented in this volume were carefully reviewed and selected from 54 submissions. The papers focus on science of security; cybersecurity dynamics; attacks and defenses; network security; security metrics and measurements; and performance enhancements.
Описание: This book gathers a selection of peer-reviewed papers presented at the second Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2020) conference, held in Shanghai, China, on 28-29 December 2020.
Management of V.U.C.A. (Volatility, Uncertainty, Complexity and Ambiguity) using Machine Learning Techniques in Industry 4.0 Paradigm.- Role of Industry 4.0 in Performance Improvement of Furniture Cluster.- Imparting Industry 4.0 Education using Open Source Tools: A Case.- Decision support framework for smart implementation of green supply chain management practices.- Decision Support System for Supply Chain Performance Measurement: Case of Textile Industry.- On the Condition Monitoring and Maintenance Approaches for Corrosive Sulphur Deposition in Oil-Filled Electrical Transformers.- Principal Components based Multivariate Statistical Process Monitoring of Machining Process using Machine Vision Approach.- Green IS - Exploring Environmental Sensitive IS through the Lens of Enterprise Architecture.
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