This book constitutes selected papers of the Second International Conference on Advanced Communication Systems and Information Security, ACOSIS 2019, held in Marrakesh, Morocco, in November 2019. The 10 full papers and 10 short papers were thoroughly reviewed and selected from 94 submissions. The papers are organized accroding to the following topical sections: wireless communications and services; vehicular communications; channel coding; construction of error correcting codes; intrusion detection techniques; wireless and mobile network security; applied cryptography.
This resource provides the latest details on 5th generation photonic systems that can be readily applied to projects in the field. Moreover, the book provides valuable, time-saving tools for network simulation and modeling. It includes coverage of optical signal transmission systems and networks; a wide range of critical methods and techniques, such as MIMO (multiple-input and multiple-output) by employing spatial modes in few-mode and multicore optical fiber; OFDM (orthogonal frequency-division multiplexing) utilized to enhance the spectral efficiency and to enable elastic optical networking schemes; and advanced modulation and coding schemes to approach the Shannon's channel capacity limit. There are detailed discussions on the basic principles and applications of high-speed digital signal processing, as well as description of the most relevant post-detection compensation techniques
Advanced IoT based wireless communication has recently received a lot of attention due to a wide range of industry 4.0 applications such as security solutions of CPS in vehicular communication, E_Healthcare over secure wireless communication, privacy issues of E_Learning via cost and energy efficient wireless network communication, etc. In these applications, physical data is continuously monitored by the IoT-based sensor nodes to facilitate the current situations, 5G network management, security solutions, etc. in industry 4.0 environment. Despite the many security issues considered in existing wireless communication in the industry 4.0 applications, IoT based 5G and 5G+ wireless communication will enhance the future security issues including cybersecurity solutions. The aim of this book to deliver the best services with minimum cost and maximum security in all industry 4.0 applications. For instance, medical priority services against the available sources and devices (IoT, sensors, decision-making units, etc.), patient monitoring services against the waiting list and the population, and security services of CPS against the energy efficiency and the battery lifetime are challenging critical problems in the industry 4.0. This book covers some improvement methods in security influence to future communication they are cybersecurity issues of IoT based 5G and 5G+ communication systems. These methods can be considered through the efficient channel coding scheme, efficient traffic management, bandwidth guard, cybersecurity solutions, etc. Requirements for future communication such 5G+ support to illustrate the security issues in selected applications of industry 4.0 such as learning style transformation. Sensors are typically capable of wireless communication and are significantly utilized in many applications such as medical communication with IoT-based 5G infrastructure. Despite many security solutions of communication technologies, decision making, dynamic and intelligent solutions based on sensors, IoT devices, CPS, etc. will be minimizing energy costs and maximizing security issues of industry 4.0. The field of advanced IoT-based 5G+ wireless communication networks merge a lot of functions like secure transmission capacities with latest multiple access schemes, computation of best latency and energy efficiency, and secure communication with location-based services, etc. This book covers many functionalities through the important examples and applications used in industry 4.0.
This book provides a comprehensive platform for learning the state-of-the-art machine learning algorithms for solving several cybersecurity issues. It is helpful in guiding for the implementation of smart machine learning solutions to detect various cybersecurity problems and make the users to understand in combating malware, detect spam, and fight financial fraud to mitigate cybercrimes. With an effective analysis of cyber-physical data, it consists of the solution for many real-life problems such as anomaly detection, IoT-based framework for security and control, manufacturing control system, fault detection, smart cities, risk assessment of cyber-physical systems, medical diagnosis, smart grid systems, biometric-based physical and cybersecurity systems using advance machine learning approach. Filling an important gap between machine learning and cybersecurity communities, it discusses topics covering a wide range of modern and practical advance machine learning techniques, frameworks, and development tools to enable readers to engage with the cutting-edge research across various aspects of cybersecurity.
This book covers wireless communication, security issues, advanced wireless sensor networks (WSNs), routing protocols of WSNs with cross-layer solutions, emerging trends in the advanced WSNs, power management, distributed sensing and data gathering techniques for WSNs, WSNs security, applications, research of advanced WSNs with simulation results, and simulation tools for WSNs. Features: Covers technologies supporting advanced wireless communication systems, sensor networks, and the conceptual development of the subject Discusses advanced data gathering and sharing/ distributed sensing techniques with its business applicability Includes numerous worked-out mathematical equations and formulas, as well as essential principles including figures, illustrations, algorithms, and flow charts Provides pervasive background knowledge including both wireless communications and WSNs Covers wireless networks as well as sensor network models in detail This book is aimed at graduate students, researchers, and academics working in the field of computer science, wireless communication technology, and advanced WSNs.
This book describes the potential contributions of emerging technologies in different fields as well as the opportunities and challenges related to the integration of these technologies in the socio-economic sector. In this book, many latest technologies are addressed, particularly in the fields of computer science and engineering. The expected scientific papers covered state-of-the-art technologies, theoretical concepts, standards, product implementation, ongoing research projects, and innovative applications of Sustainable Development. This new technology highlights, the guiding principle of innovation for harnessing frontier technologies and taking full profit from the current technological revolution to reduce gaps that hold back truly inclusive and sustainable development. The fundamental and specific topics are Big Data Analytics, Wireless sensors, IoT, Geospatial technology, Engineering and Mechanization, Modeling Tools, Risk analytics, and preventive systems.
Green Information and Communication Systems for a Sustainable Future covers the fundamental concepts, applications, algorithms, protocols, new trends, challenges, and research results in the area of Green Information and Communication Systems. This book provides the reader with up-to-date information on core and specialized issues, making it highly suitable for both the novice and the experienced researcher in the field. The book covers theoretical and practical perspectives on network design. It includes how green ICT initiatives and applications can play a major role in reducing CO2 emissions, and focuses on industry and how it can promote awareness and implementation of Green ICT. The book discusses scholarship and research in green and sustainable IT for business and organizations and uses the power of IT to usher sustainability into other parts of an organization. Business and management educators, management researchers, doctoral scholars, university teaching personnel and policy makers as well as members of higher academic research organizations will all discover this book to be an indispensable guide to Green Information and Communication Systems. It will also serve as a key resource for Industrial and Management training organizations all over the world.
This book addresses the topics related to artificial intelligence, the Internet of Things, blockchain technology, and machine learning. It brings together researchers, developers, practitioners, and users interested in cybersecurity and forensics. The first objective is to learn and understand the need for and impact of advanced cybersecurity and forensics and its implementation with multiple smart computational technologies. This objective answers why and how cybersecurity and forensics have evolved as one of the most promising and widely-accepted technologies globally and has widely-accepted applications. The second objective is to learn how to use advanced cybersecurity and forensics practices to answer computational problems where confidentiality, integrity, and availability are essential aspects to handle and answer. This book is structured in such a way so that the field of study is relevant to each reader’s major or interests. It aims to help each reader see the relevance of cybersecurity and forensics to their career or interests. This book intends to encourage researchers to develop novel theories to enrich their scholarly knowledge to achieve sustainable development and foster sustainability. Readers will gain valuable knowledge and insights about smart computing technologies using this exciting book. This book: • Includes detailed applications of cybersecurity and forensics for real-life problems • Addresses the challenges and solutions related to implementing cybersecurity in multiple domains of smart computational technologies • Includes the latest trends and areas of research in cybersecurity and forensics • Offers both quantitative and qualitative assessments of the topics Includes case studies that will be helpful for the researchers Prof. Keshav Kaushik is Assistant Professor in the Department of Systemics, School of Computer Science at the University of Petroleum and Energy Studies, Dehradun, India. Dr. Shubham Tayal is Assistant Professor at SR University, Warangal, India. Dr. Akashdeep Bhardwaj is Professor (Cyber Security & Digital Forensics) at the University of Petroleum & Energy Studies (UPES), Dehradun, India. Dr. Manoj Kumar is Assistant Professor (SG) (SoCS) at the University of Petroleum and Energy Studies, Dehradun, India.
