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Telematics and Computing: 9th International Congress, WITCOM 2020, Puerto Vallarta, Mexico, November 2–6, 2020, Proceedings (Communications in Computer and Information Science #1280)

by Miguel Félix Mata-Rivera Roberto Zagal-Flores Cristian Barria-Huidobro

This book constitutes the thoroughly refereed proceedings of the 9th International Congress on Telematics and Computing, WITCOM 2020, held in Puerto Vallarta, Mexico, in November 2020. Due to the COVID-19 pandemic the conference was held online. The 28 full papers and 3 short papers in this volume were carefully reviewed and selected from 79 submissions. The papers are focused on the topics of deep and machine learning, cybersecurity, wireless networks, computer vision, communications, and education applied to different sceneries of study and COVID-19.

Provable and Practical Security: 14th International Conference, ProvSec 2020, Singapore, November 29 – December 1, 2020, Proceedings (Lecture Notes in Computer Science #12505)

by Khoa Nguyen Wenling Wu Kwok Yan Lam Huaxiong Wang

This book constitutes the refereed proceedings of the 14th International Conference on Provable Security, ProvSec 2020, held in Singapore, in November 2020. The 20 full papers presented were carefully reviewed and selected from 59 submissions. The papers focus on provable security as an essential tool for analyzing security of modern cryptographic primitives. They are divided in the following topical sections: signature schemes, encryption schemes and NIZKS, secure machine learning and multiparty computation, secret sharing schemes, and security analyses.* The conference was held virtually due to the COVID-19 pandemic.

Advances in Physical Agents II: Proceedings of the 21st International Workshop of Physical Agents (WAF 2020), November 19-20, 2020, Alcalá de Henares, Madrid, Spain (Advances in Intelligent Systems and Computing #1285)

by Luis M. Bergasa Manuel Ocaña Rafael Barea Elena López-Guillén Pedro Revenga

The book reports on cutting-edge Artificial Intelligence (AI) theories and methods aimed at the control and coordination of agents acting and moving in a dynamic environment. It covers a wide range of topics relating to: autonomous navigation, localization and mapping; mobile and social robots; multiagent systems; human-robot interaction; perception systems; and deep-learning techniques applied to the robotics. Based on the 21st edition of the International Workshop of Physical Agents (WAF 2020), held virtually on November 19-20, 2020, from Alcalá de Henares, Madrid, Spain, this book offers a snapshot of the state-of-the-art in the field of physical agents, with a special emphasis on novel AI techniques in perception, navigation and human robot interaction for autonomous systems.

Malware Analysis Using Artificial Intelligence and Deep Learning

by Mark Stamp Mamoun Alazab Andrii Shalaginov

​This book is focused on the use of deep learning (DL) and artificial intelligence (AI) as tools to advance the fields of malware detection and analysis. The individual chapters of the book deal with a wide variety of state-of-the-art AI and DL techniques, which are applied to a number of challenging malware-related problems. DL and AI based approaches to malware detection and analysis are largely data driven and hence minimal expert domain knowledge of malware is needed.This book fills a gap between the emerging fields of DL/AI and malware analysis. It covers a broad range of modern and practical DL and AI techniques, including frameworks and development tools enabling the audience to innovate with cutting-edge research advancements in a multitude of malware (and closely related) use cases.

Physical Assurance: For Electronic Devices and Systems

by Navid Asadizanjani Mir Tanjidur Rahman Mark Tehranipoor

This book provides readers with a comprehensive introduction to physical inspection-based approaches for electronics security. The authors explain the principles of physical inspection techniques including invasive, non-invasive and semi-invasive approaches and how they can be used for hardware assurance, from IC to PCB level. Coverage includes a wide variety of topics, from failure analysis and imaging, to testing, machine learning and automation, reverse engineering and attacks, and countermeasures.

Big Data, Machine Learning, and Applications: First International Conference, BigDML 2019, Silchar, India, December 16–19, 2019, Revised Selected Papers (Communications in Computer and Information Science #1317)

by Ripon Patgiri Sivaji Bandyopadhyay Malaya Dutta Borah Dalton Meitei Thounaojam

This book constitutes refereed proceedings of the First International First International Conference on Big Data, Machine Learning, and Applications, BigDML 2019, held in Silchar, India, in December.The 6 full papers and 3 short papers were carefully reviewed and selected from 152 submissions. The papers present research on such topics as computing methodology; machine learning; artificial intelligence; information systems; security and privacy.

Policy Decision Modeling with Fuzzy Logic: Theoretical and Computational Aspects (Studies in Fuzziness and Soft Computing #405)

by Ali Guidara

This book introduces the concept of policy decision emergence and its dynamics at the sub systemic level of the decision process. This level constitutes the breeding ground of the emergence of policy decisions but remains unexplored due to the absence of adequate tools. It is a nonlinear complex system made of several entities that interact dynamically. The behavior of such a system cannot be understood with linear and deterministic methods.The book presents an innovative multidisciplinary approach that results in the development of a Policy Decision Emergence Simulation Model (PODESIM). This computational model is a multi-level fuzzy inference system that allows the identification of the decision emergence levers.This development represents a major advancement in the field of public policy decision studies. It paves the way for decision emergence modeling and simulation by bridging complex systems theory, multiple streams theory, and fuzzy logic theory.

Virtual Reality and Augmented Reality: 17th EuroVR International Conference, EuroVR 2020, Valencia, Spain, November 25–27, 2020, Proceedings (Lecture Notes in Computer Science #12499)

by Hideo Saito Regis Kopper Patrick Bourdot Victoria Interrante Gabriel Zachmann Anne-Hélène Olivier

This book constitutes the refereed proceedings of the 17th International Conference on Virtual Reality and Augmented Reality, EuroVR 2020, held in Valencia, Spain, in November 2020. The 12 full papers were carefully reviewed and selected from 35 submissions. The papers are organized in topical sections named: Perception, Cognition and Behaviour; Training, Teaching and Learning; Tracking and Rendering; and Scientific Posters.

Hardware Supply Chain Security: Threat Modelling, Emerging Attacks and Countermeasures

by Basel Halak

This book presents a new threat modelling approach that specifically targets the hardware supply chain, covering security risks throughout the lifecycle of an electronic system. The authors present a case study on a new type of security attack, which combines two forms of attack mechanisms from two different stages of the IC supply chain. More specifically, this attack targets the newly developed, light cipher (Ascon) and demonstrates how it can be broken easily, when its implementation is compromised with a hardware Trojan. This book also discusses emerging countermeasures, including anti-counterfeit design techniques for resources constrained devices and anomaly detection methods for embedded systems.

The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy: SPIoT-2020, Volume 1 (Advances in Intelligent Systems and Computing #1282)

by John MacIntyre Jinghua Zhao Xiaomeng Ma

This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2020), held in Shanghai, China, on November 6, 2020. Due to the COVID-19 outbreak problem, SPIoT-2020 conference was held online by Tencent Meeting. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.

The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy: SPIoT-2020, Volume 2 (Advances in Intelligent Systems and Computing #1283)

by John MacIntyre Jinghua Zhao Xiaomeng Ma

This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2020), held in Shanghai, China, on November 6, 2020. Due to the COVID-19 outbreak problem, SPIoT-2020 conference was held online by Tencent Meeting. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.

Excel 2019 for Marketing Statistics: A Guide to Solving Practical Problems (Excel for Statistics)

by Thomas J. Quirk Eric Rhiney

This book shows the capabilities of Microsoft Excel in teaching marketing statistics effectively. It is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical marketing problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically inclined, or if you are wary of computers, this is the right book for you.Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in marketing courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. Excel 2019 for Marketing Statistics: A Guide to Solving Practical Problems capitalizes on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work.In this new edition, each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand marketing problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full practice test (with answers in an appendix) that allows readers to test what they have learned.

Digital Conversion on the Way to Industry 4.0: Selected Papers from ISPR2020, September 24-26, 2020 Online - Turkey (Lecture Notes in Mechanical Engineering)

by Numan M. Durakbasa M. Güneş Gençyılmaz

This book presents the proceedings from the International Symposium for Production Research 2020. The cross-disciplinary papers presented draw on research from academics and practitioners from industrial engineering, management engineering, operational research, and production/operational management. It explores topics including: · computer-aided manufacturing; Industry 4.0 applications; simulation and modeling big data and analytics; flexible manufacturing systems; decision analysis quality management industrial robotics in production systems information technologies in production management; and optimization techniques. Presenting real-life applications, case studies, and mathematical models, this book is of interest to researchers, academics, and practitioners in the field of production and operation engineering.

The Fourth Industrial Revolution: Implementation of Artificial Intelligence for Growing Business Success (Studies in Computational Intelligence #935)

by Allam Hamdan Aboul Ella Hassanien Anjum Razzaque Bahaaeddin Alareeni

This book focuses on the implementation of AI for growing business, and the book includes research articles and expository papers on the applications of AI on decision-making, health care, smart universities, public sector and digital government, FinTech, and RegTech. Artificial Intelligence (AI) is a vital and a fundamental driver for the Fourth Industrial Revolution (FIR). Its influence is observed at homes, in the businesses and in the public spaces. The embodied best of AI reflects robots which drive our cars, stock our warehouses, monitor our behaviors and warn us of our health, and care for our young children. Some researchers also discussed the role of AI in the current COVID-19 pandemic, whether in the health sector, education, and others. On all of these, the researchers discussed the impact of AI on decision-making in those vital sectors of the economy.

R3 in Geomatics: First International Workshop in memory of Prof. Raffaele Santamaria on R3 in Geomatics: Research, Results and Review, R3GEO 2019, Naples, Italy, October 10–11, 2019, Revised Selected Papers (Communications in Computer and Information Science #1246)

by Claudio Parente Salvatore Troisi Antonio Vettore

This book constitutes the refereed proceedings of the First International Workshop in memory of Prof. Raffaele Santamaria on R3 in Geomatics: Research, Results and Review, R3GEO 2019, held in Naples, Italy*, in October 2019.The 27 full papers along with the 2 short papers presented were carefully reviewed and selected from 39 submissions. The papers are organized in topical sections on: GNSS and geodesy; photogrammetry and laser scanning; GIS and remote sensing.

Human-Centric Computing in a Data-Driven Society: 14th IFIP TC 9 International Conference on Human Choice and Computers, HCC14 2020, Tokyo, Japan, September 9–11, 2020, Proceedings (IFIP Advances in Information and Communication Technology #590)

by David Kreps Taro Komukai T. V. Gopal Kaori Ishii

This book constitutes the refereed proceedings of the 14th IFIP TC 9 International Conference on Human Choice and Computers, HCC14 2020, which was supposed take place in Tokyo, Japan, in September 2020, but the conference was cancelled due to the COVID-19 crisis.The 31 revised full papers presented were carefully reviewed and selected from 55 submissions. The papers deal with the constantly evolving intimate relationship between humans and technology. They are organized in the following sections: ethical and legal considerations in a data-driven society; the data-driven society; peace and war; our digital lives; individuals in data-driven society; and gender, diversity and ICT.

Product Lifecycle Management Enabling Smart X: 17th IFIP WG 5.1 International Conference, PLM 2020, Rapperswil, Switzerland, July 5–8, 2020, Revised Selected Papers (IFIP Advances in Information and Communication Technology #594)

by Abdelaziz Bouras Louis Rivest José Ríos Felix Nyffenegger

This book constitutes the refereed post-conference proceedings of the 17th IFIP WG 5.1 International Conference on Product Lifecycle Management, PLM 2020, held in Rapperswil, Switzerland, in July 2020. The conference was held virtually due to the COVID-19 crisis. The 60 revised full papers presented together with 2 technical industrial papers were carefully reviewed and selected from 80 submissions. The papers are organized in the following topical sections: smart factory; digital twins; Internet of Things (IoT, IIoT); analytics in the order fulfillment process; ontologies for interoperability; tools to support early design phases; new product development; business models; circular economy; maturity implementation and adoption; model based systems engineering; artificial intelligence in CAx, MBE, and PLM; building information modelling; and industrial technical contributions.

Dependable Software Engineering. Theories, Tools, and Applications: 6th International Symposium, SETTA 2020, Guangzhou, China, November 24–27, 2020, Proceedings (Lecture Notes in Computer Science #12153)

by Jun Pang Lijun Zhang

This book constitutes the proceedings of the 6th International Symposium on Dependable Software Engineering, SETTA 2020, held in Guangzhou, China, in November 2020. The 10 full and 1 short paper included in this volume were carefully reviewed and selected from 20 submissions. They deal with latest research results and ideas on bridging the gap between formal methods and software engineering.

Information and Communication Technologies: 8th Conference, TICEC 2020, Guayaquil, Ecuador, November 25–27, 2020, Proceedings (Communications in Computer and Information Science #1307)

by Germania Rodriguez Morales Efraín R. Fonseca C. Juan Pablo Salgado Pablo Pérez-Gosende Marcos Orellana Cordero Santiago Berrezueta

This book constitutes refereed proceedings of the 8th Conference on Information and Communication Technologies of Ecuador, TICEC 2020, held in November 2020. Due to the COVID-19 pandemic the conference was held online. The 36 full and 7 short papers were carefully reviewed and selected from 117 qualified submissions. The papers are organized according to the following topical sections: biomedical sensors and wearables systems; data science; ICT´s applications; industry 4.0; smart cities; software development; technology and environment.

Optimization and Applications: 11th International Conference, OPTIMA 2020, Moscow, Russia, September 28 – October 2, 2020, Proceedings (Lecture Notes in Computer Science #12422)

by Nicholas Olenev Yuri Evtushenko Michael Khachay Vlasta Malkova

This book constitutes the refereed proceedings of the 11th International Conference on Optimization and Applications, OPTIMA 2020, held in Moscow, Russia, in September-October 2020.*The 21 full and 2 short papers presented were carefully reviewed and selected from 60 submissions. The papers cover such topics as mathematical programming, combinatorial and discrete optimization, optimal control, optimization in economics, finance, and social sciences, global optimization, and applications. * The conference was held virtually due to the COVID-19 pandemic.

Analytical and Stochastic Modelling Techniques and Applications: 25th International Conference, ASMTA 2019, Moscow, Russia, October 21–25, 2019, Proceedings (Lecture Notes in Computer Science #12023)

by Marco Gribaudo Eduard Sopin Irina Kochetkova

This book constitutes the refereed proceedings of the 25th International Conference on Analytical and Stochastic Modelling Techniques and Applications, ASMTA 2019, held in Moscow, Russia, in October 2019. Methods of analytical and stochastic modelling are widely used in engineering to assess and design various complex systems, like computer and communication networks, and manufacturing systems. The 13 full papers presented in this book were carefully reviewed and selected from 22 submissions. The papers detail a diverse range of analysis techniques, including Markov processes, queueing theoretical results, reliability of stochastic systems, stochastic network calculus, and wide variety of applications.

Quantum Communication Networks (Foundations in Signal Processing, Communications and Networking #23)

by Frank H. Fitzek Holger Boche Christian Deppe Riccardo Bassoli Roberto Ferrara Gisbert Janssen Sajad Saeedinaeeni

This book provides a tutorial on quantum communication networks. The authors discuss current paradigm shifts in communication networks that are needed to add computing and storage to the simple transport ideas of prevailing networks. They show how these ‘softwarized’ solutions break new grounds to reduce latency and increase resilience. The authors discuss how even though these solutions have inherent problems due to introduced computing latency and energy consumption, the problems can be solved by hybrid classical-quantum communication networks. The book brings together quantum networking, quantum information theory, quantum computing, and quantum simulation.

Information Security: 23rd International Conference, ISC 2020, Bali, Indonesia, December 16–18, 2020, Proceedings (Lecture Notes in Computer Science #12472)

by Willy Susilo Robert H. Deng Fuchun Guo Yannan Li Rolly Intan

This book constitutes the proceedings of the 23rd International Conference on Information Security, ISC 2020, held in Bali, Indonesia, in December 2020. The 23 full papers presented in this volume were carefully reviewed and selected from 87 submissions. The papers cover topics of research in theory and applications of information security, such as Security and privacy and Network security as well.

Theory and Practice of Natural Computing: 9th International Conference, TPNC 2020, Taoyuan, Taiwan, December 7–9, 2020, Proceedings (Lecture Notes in Computer Science #12494)

by Carlos Martín-Vide Miguel A. Vega-Rodríguez Miin-Shen Yang

This book constitutes the refereed proceedings of the 9th International Conference on Theory and Practice of Natural Computing, TPNC 2020, held in Taoyuan, Taiwan, in December 2020. The 12 full papers presented in this book, together with one invited talk, were carefully reviewed and selected from 24 submissions. The papers are organized in topical sections named: applications of natural computing; quantum computing and unconventional computing; and swarm intelligence, evolutionary algorithms, and DNA computing.

Computational Collective Intelligence: 12th International Conference, ICCCI 2020, Da Nang, Vietnam, November 30 – December 3, 2020, Proceedings (Lecture Notes in Computer Science #12496)

by Ngoc Thanh Nguyen Bao Hung Hoang Cong Phap Huynh Dosam Hwang Bogdan Trawiński Gottfried Vossen

This volume constitutes the refereed proceedings of the 12th International Conference on Computational Collective Intelligence, ICCCI 2020, held in Da Nang, Vietnam, in November 2020.*The 70 full papers presented were carefully reviewed and selected from 314 submissions. The papers are grouped in topical sections on: knowledge engineering and semantic web; social networks and recommender systems; collective decision-making; applications of collective intelligence; data mining methods and applications; machine learning methods; deep learning and applications for industry 4.0; computer vision techniques; biosensors and biometric techniques; innovations in intelligent systems; natural language processing; low resource languages processing; computational collective intelligence and natural language processing; computational intelligence for multimedia understanding; and intelligent processing of multimedia in web systems. *The conference was held virtually due to the COVID-19 pandemic.

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