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The 22nd International Symposium on Quality Electronic Design (ISQED 21) is the premier interdisciplinary and multidisciplinary Electronic Design conference?bridges the gap among Electronic Semiconductor ecosystem members providing electronic design tools, integrated circuit technologies, semiconductor technology,packaging, assembly & test to achieve total design quality
Quality Electronic Design (QED)’s landscape spans a vast region where territories of many participating disciplines and technologies overlap. This book explores the latest trends in several key topics related to quality electronic design, with emphasis on Hardware Security, Cybersecurity, Machine Learning, and application of Artificial Intelligence (AI). The book includes topics in nonvolatile memories (NVM), Internet of Things (IoT), FPGA, and Neural Networks.
This book constitutes the proceedings of the 7th International Conference on Cryptology and Information Security in Latin America, LATIN 2021, which was held in October 2021. The conference was originally planned to take place in Bogota, Colombia, but changed to a virtual event due to the COVID-19 pandemic. The 22 full papers included in this volume were carefully reviewed and selected from 47 submissions. They were organized in topical sections as follows: quantum cryptography; post-quantum cryptography; asymmetric cryptanalysis; cryptanalysis and side-channel analysis; distributed cryptographic protocols; and multiparty computation.
This book constitutes the refereed post-conference proceedings of the 6th IFIP International Cross-Domain Conference on Internet of Things, IFIPIoT 2023, held in Denton, TX, USA, in November 2023. The 36 full papers and 27 short papers presented were carefully reviewed and selected from 84 submissions. The papers offer insights into the latest innovations, challenges, and opportunities in IoT, covering a wide array of topics, including IoT architectures, security and privacy, data analytics, edge computing, and applications in various domains.
In an era defined by the pervasive integration of digital systems across industries, the paramount concern is the safeguarding of sensitive information in the face of escalating cyber threats. Contemporary Challenges for Cyber Security and Data Privacy stands as an indispensable compendium of erudite research, meticulously curated to illuminate the multifaceted landscape of modern cybercrime and misconduct. As businesses and organizations pivot towards technological sophistication for enhanced efficiency, the specter of cybercrime looms larger than ever. In this scholarly research book, a consortium of distinguished experts and practitioners convene to dissect, analyze, and propose innovative countermeasures against the surging tide of digital malevolence. The book navigates the intricate domain of contemporary cyber challenges through a prism of empirical examples and intricate case studies, yielding unique and actionable strategies to fortify the digital realm. This book dives into a meticulously constructed tapestry of topics, covering the intricate nuances of phishing, the insidious proliferation of spyware, the legal crucible of cyber law and the ominous specter of cyber warfare. Experts in computer science and security, government entities, students studying business and organizational digitalization, corporations and small and medium enterprises will all find value in the pages of this book.
Dive into the cutting-edge world of Neuromorphic Computing, a groundbreaking volume that unravels the secrets of brain-inspired computational paradigms. Spanning neuroscience, artificial intelligence, and hardware design, this book presents a comprehensive exploration of neuromorphic systems, empowering both experts and newcomers to embrace the limitless potential of brain-inspired computing. Discover the fundamental principles that underpin neural computation as we journey through the origins of neuromorphic architectures, meticulously crafted to mimic the brain’s intricate neural networks. Unlock the true essence of learning mechanisms – unsupervised, supervised, and reinforcement learning – and witness how these innovations are shaping the future of artificial intelligence.