Information and Communications Security, Qing

Автор: Liqun Chen; Mark Ryan; Guilin Wang
Название: Information and Communications Security
ISBN: 3540886249 ISBN-13(EAN): 9783540886242
Издательство: Springer
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Цена: 81050.00 T
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Описание: Constitutes the refereed proceedings of the 10th International Conference on Information and Communications Security, ICICS 2008, held in Zhengzhou, China, in December 2007. This book features sections on authentication and key exchange, digital signatures, applications, watermarking, fast implementations, applied cryptography, and cryptanalysis.

Автор: Sihan Qing; Chris J. Mitchell; Guilin Wang
Название: Information and Communications Security
ISBN: 3642111440 ISBN-13(EAN): 9783642111440
Издательство: Springer
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Цена: 97820.00 T
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Описание: 11th International Conference ICICS 2009. .

Автор: Lam
Название: Information and Communications Security
ISBN: 3319500104 ISBN-13(EAN): 9783319500102
Издательство: Springer
Рейтинг:
Цена: 61490.00 T
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Описание: This book constitutes the refereed proceedings of the 18th International Conference on Information and Communications Security, ICISC 2016, held in Singapore, Singapore, in November/December 2016. The 20 revised full papers and 16 short papers presented were carefully selected from 60 submissions. The papers cover topics such as IoT security;

Автор: Lucas C. K. Hui; S. H. Qing; Elaine Shi; S. M. Yiu
Название: Information and Communications Security
ISBN: 3319219650 ISBN-13(EAN): 9783319219653
Издательство: Springer
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Цена: 52170.00 T
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Описание: This book constitutes the thoroughly refereed post-conference proceedings of the 16th International Conference on Information and Communications Security, ICISC 2014, held in Hong Kong, China, in December 2014. The papers provide the latest results in research, development and applications in the field of information security and cryptology.

Автор: Rik Das, Siddhartha Bhattacharyya, Sudarshan Nandy
Название: Machine Learning Applications: Emerging Trends
ISBN: 3110608537 ISBN-13(EAN): 9783110608533
Издательство: Walter de Gruyter
Цена: 123910.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

The publication is attempted to address emerging trends in machine learning applications. Recent trends in information identification have identified huge scope in applying machine learning techniques for gaining meaningful insights. Random growth of unstructured data poses new research challenges to handle this huge source of information. Efficient designing of machine learning techniques is the need of the hour. Recent literature in machine learning has emphasized on single technique of information identification. Huge scope exists in developing hybrid machine learning models with reduced computational complexity for enhanced accuracy of information identification. This book will focus on techniques to reduce feature dimension for designing light weight techniques for real time identification and decision fusion. Key Findings of the book will be the use of machine learning in daily lives and the applications of it to improve livelihood. However, it will not be able to cover the entire domain in machine learning in its limited scope. This book is going to benefit the research scholars, entrepreneurs and interdisciplinary approaches to find new ways of applications in machine learning and thus will have novel research contributions. The lightweight techniques can be well used in real time which will add value to practice.

Автор: Sihan Qing; Eiji Okamoto; Kwangjo Kim; Dongmei Liu
Название: Information and Communications Security
ISBN: 3319298135 ISBN-13(EAN): 9783319298139
Издательство: Springer
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Цена: 59630.00 T
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Описание: This book constitutes the thoroughly refereed post-conference proceedings of the 17th International Conference on Information and Communications Security, ICISC 2015, held in Beijing, China, in December 2015. The 24 revised full papers and 19 short papers presented were carefully selected from 148 submissions.

Автор: Sihan Qing; Jianying Zhou; Dongmei Liu
Название: Information and Communications Security
ISBN: 3319027255 ISBN-13(EAN): 9783319027258
Издательство: Springer
Рейтинг:
Цена: 46570.00 T
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Описание:

System Security.- Web Security and Worm Detection.- Cloud Storage Security.- Virtualization for Cloud Computing.- Trusted and Trustworthy Computing.- Authentication and Security Protocols.- Intrusion Detection and Recovery.- Side Channel Attacks and Defense.- Engineering Issues of Crypto.- Cryptanalysis.- Attribute-Based Encryption.- Cryptographic Primitives and Applications.

Автор: David Naccache; Shouhuai Xu; Sihan Qing; Pierangel
Название: Information and Communications Security
ISBN: 3030019497 ISBN-13(EAN): 9783030019495
Издательство: Springer
Рейтинг:
Цена: 93160.00 T
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Описание: This book constitutes the refereed proceedings of the 20th International Conference on Information and Communications Security, ICICS 2018, held in Lille, France, in October 2018. The 39 revised full papers and 11 short papers presented were carefully selected from 202 submissions. The papers are organized in topics on blockchain technology, malware, botnet and network security, real-world cryptography, encrypted computing, privacy protection, signature schemes, attack analysis and detection, searchable encryption and identity-based cryptography, verifiable storage and computing, applied cryptography, supporting techniques, formal analysis and cryptanalysis, attack detection, and security management.

Автор: Siddhartha Bhattacharyya, Vaclav Snasel, Aboul Ella Hassanien, Satadal Saha, B. K. Tripathy
Название: Deep Learning: Research and Applications
ISBN: 3110670798 ISBN-13(EAN): 9783110670790
Издательство: Walter de Gruyter
Цена: 136310.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book will focus on the fundamentals of deep learning along with reporting on the current state-of-art research on deep learning. In addition, it would provide an insight of deep neural networks in action with illustrative coding examples. Moreover, the book will also provide video demonstrations on each chapter. Deep learning is a new area of machine learning research, which has been introduced with the objective of moving ML closer to one of its original goals, i.e. artificial intelligence. Deep learning was developed as an ML approach to deal with complex input-output mappings. While traditional methods successfully solve problems where final value is a simple function of input data, deep learning techniques are able to capture composite relations between non immediately related fields, for example between air pressure recordings and english words, millions of pixels and textual description, brand-related news and future stock prices and almost all real world problems. Deep learning is a class of nature inspired machine learning algorithms that uses a cascade of multiple layers of nonlinear processing units for feature extraction and transformation. Each successive layer uses the output from the previous layer as input. The learning may be supervised (e.g., classification) and/or unsupervised (e.g., pattern analysis) manners. These algorithms learn multiple levels of representations that correspond to different levels of abstraction by resorting to some form of gradient descent for training via backpropagation. Layers that have been used in deep learning include hidden layers of an artificial neural network and sets of propositional formulas. They may also include latent variables organized layer-wise in deep generative models such as the nodes in deep belief networks and deep boltzmann machines. Deep learning is part of state-of-the-art systems in various disciplines, particularly computer vision, automatic speech recognition (ASR) and human action recognition. The unique features of this book include: • tutorials on deep learning framework with focus on tensor flow, keras etc. • video demonstration of each chapter for enabling the readers to have a good understanding of the chapter contents. • a score of worked out examples on real life applications. • illustrative diagrams • coding examples

Автор: Siddhartha Bhattacharyya, Indrajit Pan, Ashish Mani, Sourav De, Elizabeth Behrman, Susanta Chakraborti
Название: Quantum Machine Learning
ISBN: 311067064X ISBN-13(EAN): 9783110670646
Издательство: Walter de Gruyter
Цена: 136310.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Quantum-enhanced machine learning refers to quantum algorithms that solve tasks in machine learning, thereby improving a classical machine learning method. Such algorithms typically require one to encode the given classical dataset into a quantum computer, so as to make it accessible for quantum information processing. After this, quantum information processing routines can be applied and the result of the quantum computation is read out by measuring the quantum system. For example, the outcome of the measurement of a qubit could reveal the result of a binary classification task. While many proposals of quantum machine learning algorithms are still purely theoretical and require a full-scale universal quantum computer to be tested, others have been implemented on small-scale or special purpose quantum devices. The salient features of the book include: In depth analysis of the subject matter with mathematical discourse Video demonstration of each chapter for enabling the readers to have a good understanding of the chapter contents. Examples on real life applications. Illustrative diagrams Coding examples

Автор: Binxing Fang, Yan Jia
Название: Information and Communication
ISBN: 3110597845 ISBN-13(EAN): 9783110597844
Издательство: Walter de Gruyter
Рейтинг:
Цена: 107790.00 T
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Описание: The three volume set provides a systematic overview of theories and technique on social network analysis. Volume 3 of the set mainly focuses on the propagation models and evolution rules of information. Information retrieval and dissemination, topic discovery and evolution, algorithms of influence maximization are discussed in detail. It is an essential reference for scientist and professionals in computer science.

Автор: Binxing Fang, Yan Jia
Название: Groups and Interaction
ISBN: 3110597772 ISBN-13(EAN): 9783110597776
Издательство: Walter de Gruyter
Рейтинг:
Цена: 107790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The three volume set provides a systematic overview of theories and technique on social network analysis.Volume 2 of the set mainly focuses on the formation and interaction of group behaviors. Users’ behavior analysis, sentiment analysis, influence analysis and collective aggregation are discussed in detail as well. It is an essential reference for scientist and professionals in computer science.