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Networked RFID Systems and Lightweight Cryptography
This book consists of a collection of works on utilizing the automatic identification technology provided by Radio Frequency Identification (RFID) to address the problems of global counterfeiting of goods. The book presents current research, directed to securing supply chains against the efforts of counterfeit operators, carried out at the Auto-ID Labs around the globe. It assumes very little knowledge on the part of the reader on Networked RFID systems as the material provided in the introduction familiarizes the reader with concepts, underlying principles and vulnerabilities of modern RFID systems.
Unique Radio Innovation for the 21st Century
Are you an engineer or a researcher developing RFID systems? Are you a manager considering deploying RFID-based applications? If so, this book is for you. Covering modern RFID systems, the challenges to RFID implementation are addressed using specific industrial research examples and common integration issues. The primary focus is on answering questions surrounding building scalable global Internet-based RFID networks. Key topics include RFID data management, RFID data processing and integration, Real-Time Locating Systems (RTLS) and sensors. The book considers the challenges of and solutions to building and exploiting global networks to guarantee one of the most important business drivers for modern RFID technology: traceability. The authors have drawn together RFID applications from the retail supply chain, asset and product lifecycle management, anti-counterfeiting and cold chain management to explore how global traceability networks can be created using RFID and sensor technologies. They present insights from world’s leading research laboratories.
Mobile and Ubiquitous Systems: Computing, Networking, and Services
This book constitutes the thoroughly refereed post-conference proceedings of the 10th International ICST Conference on Mobile and Ubiquitous Systems: Computing, Networking, and Services, MobiQuitous 2013, held in Tokyo, Japan, in December 2013. The 67 revised full papers presented were carefully reviewed and selected from 141 submissions. The papers and 2 invited talks cover a wide range of topics such as mobile applications, social networks, networking, data management and services.
ECAI 2023
Artificial intelligence, or AI, now affects the day-to-day life of almost everyone on the planet, and continues to be a perennial hot topic in the news. This book presents the proceedings of ECAI 2023, the 26th European Conference on Artificial Intelligence, and of PAIS 2023, the 12th Conference on Prestigious Applications of Intelligent Systems, held from 30 September to 4 October 2023 and on 3 October 2023 respectively in Kraków, Poland. Since 1974, ECAI has been the premier venue for presenting AI research in Europe, and this annual conference has become the place for researchers and practitioners of AI to discuss the latest trends and challenges in all subfields of AI, and to demonstrat...
RFID Handbook
Radio Frequency Identification (RFID) tagging is now used by the department of defense and many of the world’s largest retailers including Wal-Mart. As RFID continues to infiltrate industries worldwide, organizations must harness a clear understanding of this technology in order to maximize its potential and protect against the potential risks it poses. The RFID Handbook provides an overview of RFID technology, its associated security and privacy risks, and recommended practices that will enable organizations to realize productivity improvements while also protecting sensitive information and the privacy of individuals. Expert contributors present a host of applications including RFID enab...
Applied Cryptography and Network Security
This book constitutes the refereed proceedings of the 13th International Conference on Applied Cryptography and Network Security, ACNS 2015, held in New York, NY, USA, in June 2015. The 33 revised full papers included in this volume and presented together with 2 abstracts of invited talks, were carefully reviewed and selected from 157 submissions. They are organized in topical sections on secure computation: primitives and new models; public key cryptographic primitives; secure computation II: applications; anonymity and related applications; cryptanalysis and attacks (symmetric crypto); privacy and policy enforcement; authentication via eye tracking and proofs of proximity; malware analysis and side channel attacks; side channel countermeasures and tamper resistance/PUFs; and leakage resilience and pseudorandomness.
Artificial Intelligence Applications and Innovations. AIAI 2021 IFIP WG 12.5 International Workshops
This book constitutes the refereed proceedings of six International Workshops held as parallel events of the 17th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2021, virtually and in Hersonissos, Crete, Greece, in June 2021: the 6th Workshop on 5G-Putting Intelligence to the Network Edge, 5G-PINE 2021; Artificial Intelligence in Biomedical Engineering and Informatics Workshop, AI-BIO 2021; Workshop on Defense Applications of AI, DAAI 2021; Distributed AI for Resource-Constrained Platforms Workshop, DARE 2021; Energy Efficiency and Artificial Intelligence Workshop, EEAI 2021; and the 10th Mining Humanistic Data Workshop, MHDW 2021. The 24 ...
Physically Unclonable Functions (PUFs)
Today, embedded systems are used in many security-critical applications, from access control, electronic tickets, sensors, and smart devices (e.g., wearables) to automotive applications and critical infrastructures. These systems are increasingly used to produce and process both security-critical and privacy-sensitive data, which bear many security and privacy risks. Establishing trust in the underlying devices and making them resistant to software and hardware attacks is a fundamental requirement in many applications and a challenging, yet unsolved, task. Solutions solely based on software can never ensure their own integrity and trustworthiness while resource-constraints and economic facto...
Machine Learning on Commodity Tiny Devices
This book aims at the tiny machine learning (TinyML) software and hardware synergy for edge intelligence applications. It presents on-device learning techniques covering model-level neural network design, algorithm-level training optimization, and hardware-level instruction acceleration. Analyzing the limitations of conventional in-cloud computing would reveal that on-device learning is a promising research direction to meet the requirements of edge intelligence applications. As to the cutting-edge research of TinyML, implementing a high-efficiency learning framework and enabling system-level acceleration is one of the most fundamental issues. This book presents a comprehensive discussion of...
