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In den WarenkorbPaperback. Zustand: Brand New. 316 pages. 10.00x7.00x10.00 inches. In Stock.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing Jun 2018, 2018
ISBN 10: 6139841658 ISBN 13: 9786139841653
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Taschenbuch. Zustand: Neu. Neuware -An embedded system is a special-purpose computer system designed to perform one or a few dedicated functions, often with real-time computing constraints. It is usually embedded as a part of a complete device including hardware and embedded software. Embedded systems are commonly used in today¿s world ranges from portable MP4 player to most common mobile phones; others are iPAD,DTH and many more. The programs and instruction written for embedded systems are called firmware and are stored in read-only memory or flash memory. In today¿s world the use of embedded system is common in everybody¿s life. Hence, the security concern in embedded systems is growing in exponential terms. Cryptography is one of the ways to provide security in these embedded systems. Symmetric-Key cryptography is widely used for this purpose due to fast encryption, low power and area. A wide range of Non-Feistel block ciphers with various analysis are proposed in this book. So, the realization of this goal can achieved through microprocessor based solution and also fast growing FPGA. Thus this book is helpful for PhD(CSE), MS / M.Tech(CSE/IT), MCA and UG students who want to do research based final year project.Books on Demand GmbH, Überseering 33, 22297 Hamburg 212 pp. Englisch.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139841658 ISBN 13: 9786139841653
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Taschenbuch. Zustand: Neu. Hand Book on Hardware Cryptography - Algorithms and Analysis | Rajdeep Chakraborty (u. a.) | Taschenbuch | 212 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139841653 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
Sprache: Englisch
Verlag: ISTE Ltd and John Wiley and Sons Inc, 2024
ISBN 10: 1786308630 ISBN 13: 9781786308634
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In den WarenkorbZustand: New. Rajdeep Chakraborty is Associate Professor in Computer Science and Engineering at the University Institute of Engineering, Chandigarh University, India.Anupam Ghosh is Professor of Computer Science and Engineering at Netaji Subhash Engineering College in Ko.
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In den WarenkorbHardcover. Zustand: Brand New. 272 pages. 9.21x6.14x0.63 inches. In Stock.
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In den WarenkorbHardcover. Zustand: Brand New. 304 pages. 10.00x7.00x0.91 inches. In Stock.
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In den WarenkorbZustand: New. Rajdeep Chakraborty, PhD, is an assistant professor in the Department of Computer Science and Engineering, Netaji Subhash Engineering College, Kolkata, India. His fields of interest are mainly in cryptography and computer security. He was awarded the Adarsh.
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In den WarenkorbZustand: New. Rajdeep Chakraborty obtained his PhD in CSE from the University of Kalyani. He is currently an assistant professor in the Department of Computer Science and Engineering, Netaji Subhash Engineering College, Garia, Kolkata, India. He has several publications .
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware - This book pioneers the synergy between state-of-the-art edge computing technologies and the power of operations research. It comprehensively explores real-world applications, demonstrating how various operations' research techniques enhance edge computing's efficiency, reliability and resource allocation. Innovative solutions for dynamic task scheduling, load balancing and data management, all tailored to the unique challenges of edge environments, are displayed.
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In den WarenkorbHardcover. Zustand: Brand New. 420 pages. 9.18x6.12x9.21 inches. In Stock.
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In den WarenkorbHardcover. Zustand: Brand New. 400 pages. 9.00x6.00x1.25 inches. In Stock.
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In den WarenkorbHardcover. Zustand: Brand New. 400 pages. 9.25x6.22x1.18 inches. In Stock.
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In den WarenkorbHardcover. Zustand: Brand New. 400 pages. 10.20x7.20x1.10 inches. In Stock.
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In den WarenkorbHardcover. Zustand: Brand New. 320 pages. 9.18x6.12x9.21 inches. In Stock.
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Buch. Zustand: Neu. Neuware - CONVERGENCE OF DEEP LEARNING IN CYBER-IOT SYSTEMS AND SECURITYIn-depth analysis of Deep Learning-based cyber-IoT systems and security which will be the industry leader for the next ten years.The main goal of this book is to bring to the fore unconventional cryptographic methods to provide cyber security, including cyber-physical system security and IoT security through deep learning techniques and analytics with the study of all these systems.This book provides innovative solutions and implementation of deep learning-based models in cyber-IoT systems, as well as the exposed security issues in these systems. The 20 chapters are organized into four parts. Part I gives the various approaches that have evolved from machine learning to deep learning. Part II presents many innovative solutions, algorithms, models, and implementations based on deep learning. Part III covers security and safety aspects with deep learning. Part IV details cyber-physical systems as well as a discussion on the security and threats in cyber-physical systems with probable solutions.AudienceResearchers and industry engineers in computer science, information technology, electronics and communication, cybersecurity and cryptography.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware - MACHINE LEARNING TECHNIQUES AND ANALYTICS FOR CLOUD SECURITYThis book covers new methods, surveys, case studies, and policy with almost all machine learning techniques and analytics for cloud security solutionsThe aim of Machine Learning Techniques and Analytics for Cloud Security is to integrate machine learning approaches to meet various analytical issues in cloud security. Cloud security with ML has long-standing challenges that require methodological and theoretical handling. The conventional cryptography approach is less applied in resource-constrained devices. To solve these issues, the machine learning approach may be effectively used in providing security to the vast growing cloud environment. Machine learning algorithms can also be used to meet various cloud security issues, such as effective intrusion detection systems, zero-knowledge authentication systems, measures for passive attacks, protocols design, privacy system designs, applications, and many more. The book also contains case studies/projects outlining how to implement various security features using machine learning algorithms and analytics on existing cloud-based products in public, private and hybrid cloud respectively.AudienceResearch scholars and industry engineers in computer sciences, electrical and electronics engineering, machine learning, computer security, information technology, and cryptography.