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New development of learning and networking makes these two areas more and more related to each other. First, due to the popularity of deep neural networks, learning with distributed dataset has become a common practice and new algorithms, especially optimization methods over networks, are needed with better efficiency and security. Second, new learning techniques like Bayesian optimization can help us solve networking problems with improved performance. In this thesis we will present our new results of techniques for both learning \textit{over} networks and learning \textit{for} networks. In the first part of the thesis, we focus on distributed optimization over a processing network consisting of $n$ processors, where each processor can only get access to its own function $f_i$ and communicate with its neighbors. The objective of the processors is to find $x^*$ that can minimize $\frac{1}{n}\sum_{i=1}^nf_i(x)$. This setup can be found in applications such as machine learning over ad-hoc sensor networks, where $f_i$ is the loss function based on the data collected by Sensor $i$. For this problem setup, we propose two methods for better efficiency.
This book constitutes the proceedings of the 10th International Conference on Security and Cryptography, SCN 2016, held in Amalfi, Italy, in August/September 2016. The 30 papers presented in this volume were carefully reviewed and selected from 67 submissions. They are organized in topical sections on encryption; memory protection; multi-party computation; zero-knowledge proofs; efficient protocols; outsourcing computation; digital signatures; cryptanalysis; two-party computation; secret sharing; and obfuscation.
Highly comprehensive resource investigating how next-generation multiple access (NGMA) relates to unrestricted global connection, business requirements, and sustainable wireless networks Next Generation Multiple Access is a comprehensive, state-of-the-art, and approachable guide to the fundamentals and applications of next-generation multiple access (NGMA) schemes, guiding the future development of industries, government requirements, and military utilization of multiple access systems for wireless communication systems and providing various application scenarios to fit practical case studies. The scope and depth of this book are balanced for both beginners to advanced users. Additional references are provided for readers who wish to learn more details about certain subjects. Applications of NGMA outside of communications, including data and computing assisted by machine learning, protocol designs, and others, are also covered. Written by four leading experts in the field, Next Generation Multiple Access includes information on: Foundation and application scenarios for non-orthogonal multiple access (NOMA) systems, including modulation, detection, power allocation, and resource management NOMA’s interaction with alternate applications such as satellite communication systems, terrestrial-satellite communication systems, and integrated sensing Collision resolution, compressed sensing aided massive access, latency management, deep learning enabled massive access, and energy harvesting Holographic-pattern division multiple access, over-the-air transmission, multi-dimensional multiple access, sparse signal detection, and federated meta-learning assisted resource management Next Generation Multiple Access is an essential reference for those who are interested in discovering practical solutions using NGMA technology, including researchers, engineers, and graduate students in the disciplines of information engineering, telecommunications engineering, and computer engineering.
Artificial intelligence (AI) and its applications have risen to prominence as one of the most active study areas in recent years. In recent years, a rising number of AI applications have been applied in a variety of areas. Agriculture, transportation, medicine, and health are all being transformed by AI technology. The Internet of Things (IoT) market is thriving, having a significant impact on a wide variety of industries and applications, including e-health care, smart cities, smart transportation, and industrial engineering. Recent breakthroughs in artificial intelligence and machine learning techniques have reshaped various aspects of artificial vision, considerably improving the state of the art for artificial vision systems across a broad range of high-level tasks. As a result, several innovations and studies are being conducted to improve the performance and productivity of IoT devices across multiple industries using machine learning and artificial intelligence. Security is a primary consideration when analyzing the next generation communication network due to the rapid advancement of technology. Additionally, data analytics, deep intelligence, deep learning, cloud computing, and intelligent solutions are being employed in medical, agricultural, industrial, and health care systems that are based on the Internet of Things. This book will look at cutting-edge Network Attacks and Security solutions that employ intelligent data processing and Machine Learning (ML) methods. This book: Covers emerging technologies of network attacks and management aspects Presents artificial intelligence techniques for networks and resource optimization, and toward network automation, and security Showcases recent industrial and technological aspects of next-generation networks Illustrates artificial intelligence techniques to mitigate cyber-attacks, authentication, and authorization challenges Explains smart, and real-time monitoring services, multimedia, cloud computing, and information processing methodologies in 5G networks It is primarily for senior undergraduates, graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology
Academic scholars and professionals in engineering strive to enhance the performance, efficiency, and security of complex systems, but accessing comprehensive resources for these challenges can be daunting. Enhancing Performance, Efficiency, and Security Through Complex Systems Control offers an ideal solution. Edited by esteemed academics Idriss Chana, Aziz Bouazi, and Hussain Ben-Azza, this book presents a curated collection of scientific articles encompassing multidisciplinary themes like computer science, artificial intelligence, electrical engineering, and control systems. By consolidating cutting-edge research and methodologies, this book empowers scholars and professionals to improve the design, modeling, and control of complex systems. It provides practical solutions, showcases new ideas, and explores innovative technologies to enhance performance, efficiency, and safety. With a meticulous selection process involving internationally recognized scientific committees, this book ensures the highest quality standards, making it a reliable reference for researchers, PhD students, and academics. Delve into the wide range of topics covered, from artificial intelligence to smart systems, and unlock the potential of complex systems control to advance your research endeavors.
This book begins with a historical overview of the evolution of mobile technologies and addresses two key questions: why do we need 6G? and what will 6G be? The remaining chapters of this book are organized into three parts: Part I covers the foundation of an end-to-end 6G system by presenting 6G vision, driving forces, key performance indicators, and societal requirements on digital inclusion, sustainability, and intelligence. Part II presents key radio technology components for the 6G communications to deliver extreme performance, including new radio access technologies at high frequencies, joint communications and sensing, AI-driven air interface, among others. Part III describes key enablers for intelligent 6G networking, including network disaggregation, edge computing, data-driven management and orchestration, network security and trustworthiness, among others. This book is relevant to researchers, professionals, and academics working in 5G/6G and beyond.
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.
This book constitutes the proceedings of the satellite workshops held around the 19th International Conference on Applied Cryptography and Network Security, ACNS 2021, held in Kamakura, Japan, in June 2021. The 26 papers presented in this volume were carefully reviewed and selected from 49 submissions. They stem from the following workshops: AIBlock 2021: Third International Workshop on Application Intelligence and Blockchain Security AIHWS 2021: Second International Workshop on Artificial Intelligence in Hardware Security AIoTS 2021: Third International Workshop on Artificial Intelligence and Industrial IoT Security CIMSS 2021: First International Workshop on Critical Infrastructure and Manufacturing System Security Cloud S&P 2021: Third International Workshop on Cloud Security and Privacy SCI 2021: Second International Workshop on Secure Cryptographic Implementation SecMT 2021: Second International Workshop on Security in Mobile Technologies SiMLA 2021; Third International Workshop on Security in Machine Learning and its Applications Due to the Corona pandemic the workshop was held as a virtual event.
The two-volume set LNCS 12726 + 12727 constitutes the proceedings of the 19th International Conference on Applied Cryptography and Network Security, ACNS 2021, which took place virtually during June 21-24, 2021. The 37 full papers presented in the proceedings were carefully reviewed and selected from a total of 186 submissions. They were organized in topical sections as follows: Part I: Cryptographic protocols; secure and fair protocols; cryptocurrency and smart contracts; digital signatures; embedded system security; lattice cryptography; Part II: Analysis of applied systems; secure computations; cryptanalysis; system security; and cryptography and its applications.